The origins, development and future directions of data envelopment analysis approach in transportation systems.

Mahmoudi, R., A. Emrouznejad, S. N. Shetab-Boushehri, S. R. Hejazi (2020) The origins, development and future directions of Data Envelopment Analysis approach in transportation systems, Socio-Economic Planning Sciences, 69: 100762, https://doi.org/10.1016/j.seps.2018.11.009.

 

 

List of papers cited in this article:

• DEA publications: highway transportation system

  1. Alper, D., Sinuany-Stern, Z. & Shinar, D. 2015, “Evaluating the efficiency of local municipalities in providing traffic safety using the Data Envelopment Analysis”, Accident Analysis and Prevention, vol. 78, pp. 39-50.
  2. Ancarani, A., Guccio, C. & Rizzo, I. 2016, “The role of firms’ qualification in public contracts execution: An empirical assessment”, Journal of Public Procurement, vol. 16, no. 4, pp. 554-582.
  3. Azadeh, A., Zarrin, M. & Hamid, M. 2016, “A novel framework for improvement of road accidents considering decision-making styles of drivers in a large metropolitan area”, Accident Analysis and Prevention, vol. 87, pp. 17-33.
  4. Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. & Ferraz, A.C.P. 2015, “Traffic fatality indicators in Brazil: State diagnosis based on data envelopment analysis research”, Accident Analysis and Prevention, vol. 81, pp. 61-73.
  5. Behnood, H.R. 2018, “Best practice analysis of action for road safety in Iran amongst the leading developing countries using an optimized success indicator”, Transport Policy, vol. 66, pp. 76-84.
  6. Behnood, H.R., Ayati, E., Brijs, T., Neghab, M.P. & Shen, Y. 2017, “A fuzzy decision-support system in road safety planning”, Proceedings of the Institution of Civil Engineers: Transport, vol. 170, no. 5, pp. 305-317.
  7. Chen, X., Gao, Y., An, Q., Wang, Z. & Neralić, L. 2018, “Energy efficiency measurement of Chinese Yangtze River Delta’s cities transportation: a DEA window analysis approach”, Energy Efficiency, pp. 1-13.
  8. Cheng, X. 2014, “Research on the performance evaluation of road transportation supply chain based on interval DEA method”, BioTechnology: An Indian Journal, vol. 10, no. 3, pp. 699-703.
  9. Choi, N.H. & Jung, K. 2017, “Measuring efficiency and effectiveness of highway management in sustainability”, Sustainability (Switzerland), vol. 9, no. 8.
  10. Çipil, F. 2014, “Performance analysis of Turkey’s transport sector greenhouse gas emissions”, Energy and Environment, vol. 25, no. 2, pp. 357-368.
  11. Cook, W.D. & Green, R.H. 2000, “Project prioritization: A resource-constrained data envelopment analysis approach”, Socio-economic planning sciences, vol. 34, no. 2, pp. 85-99.
  12. Cook, W.D., Kazakov, A. & Persaud, B.N. 2001, “Prioritising highway accident sites: A data envelopment analysis model”, Journal of the Operational Research Society, vol. 52, no. 3, pp. 303-309.
  13. Cook, W.D., Kazakov, A., Roll, Y. & Seiford, L.M. 1991, “A data envelopment approach to measuring efficiency: Case analysis of highway maintenance patrols”, Journal of Socio-economics, vol. 20, no. 1, pp. 83-103.
  14. Cook, W.D. & Zhu, J. 2009, “Piecewise linear output measures in DEA (third revision)”, European Journal of Operational Research, vol. 197, no. 1, pp. 312-319.
  15. Cook, W.D. & Zhu, J. 2003, “Output deterioration with input reduction in data envelopment analysis”, IIE Transactions (Institute of Industrial Engineers), vol. 35, no. 3, pp. 309-320.
  16. Cui, X., Fang, C. & Zhang, Q. 2018, “Spatial relationship between high-speed transport superiority degree and land-use efficiency in Shandong Peninsula urban agglomeration”, Dili Xuebao/Acta Geographica Sinica, vol. 73, no. 6, pp. 1149-1161.
  17. Daito, N. & Gifford, J.L. 2014, “U.S. highway public private partnerships: Are they more expensive or efficient than the traditional model?”, Managerial Finance, vol. 40, no. 11, pp. 1131-1151.
  18. do Castelo Gouveia, M. & Clímaco, I. 2018, Assessment of fuel tax policies to tackle carbon emissions from road transport—an application of the value-based DEA method including robustness analysis.
  19. Egilmez, G. & McAvoy, D. 2013, “Benchmarking road safety of U.S. states: A DEA-based Malmquist productivity index approach”, Accident Analysis and Prevention, vol. 53, pp. 55-64.
  20. Fallah-Fini, S., Triantis, K., De La Garza, J.M. & Seaver, W.L. 2012, “Measuring the efficiency of highway maintenance contracting strategies: A bootstrapped non-parametric meta-frontier approach”, European Journal of Operational Research, vol. 219, no. 1, pp. 134-145.
  21. Fathian, M. & Jafarian-Moghaddam, A.R. 2015, “New clustering algorithms for vehicular ad-hoc network in a highway communication environment”, Wireless Networks, vol. 21, no. 8, pp. 2765-2780.
  22. Guccio, C., Pignataro, G. & Rizzo, I. 2012, “Measuring the efficient management of public works contracts: A non-parametric approach”, Journal of Public Procurement, vol. 12, no. 4, pp. 528-546.
  23. Imanirad, R., Cook, W.D., Aviles-Sacoto, S.V. & Zhu, J. 2015, “Partial input to output impacts in DEA: The case of DMU-specific impacts”, European Journal of Operational Research, vol. 244, no. 3, pp. 837-844.
  24. Jiang, C., Li, S. & Li, L. 2017, “Research on productive efficiencies measurement based on three-stage super DEA model: A case of Chinese road and bridge enterprises”, International Journal of Computing Science and Mathematics, vol. 8, no. 5, pp. 475-493.
  25. Juan, W., Huapu, L., Xu, S., Xianfeng, L. & Huijun, Y. 2014, “The best path analysis in military highway transport based on DEA and multiobjective fuzzy decision-making”, Mathematical Problems in Engineering, vol. 2014.
  26. Kazakov, A., Cook, W.D. & Roll, Y. 1989, “Measurement of highway maintenance patrol efficiency. Model and factors”, Transportation Research Record, , no. 1216, pp. 39-45.
  27. Kelle, P., Schneider, H., Raschke, C. & Shirazi, H. 2013, “Highway improvement project selection by the joint consideration of cost-benefit and risk criteria”, Journal of the Operational Research Society, vol. 64, no. 3, pp. 313-325.
  28. Kim, H.J., Kim, S.W. & Shin, J.S. 2014, “Efficiency analysis of privatization using DEA and MPI”, Public Performance and Management Review, vol. 38, no. 1, pp. 48-75.
  29. Leal Jr., I.C., de Almada Garcia, P.A. & de Almeida D’Agosto, M. 2012, “A data envelopment analysis approach to choose transport modes based on eco-efficiency”, Environment, Development and Sustainability, vol. 14, no. 5, pp. 767-781.
  30. Lee, G., Yu, M.-. & Wang, L.-. 2012, “DEA-based integrated relationship of returns to scale – An application to road maintenance in Taiwan”, Journal of Civil Engineering and Management, vol. 18, no. 5, pp. 709-723.
  31. Li, Z., Zhao, L. & Yuan, Z. 2016, “Highway transportation efficiency evaluation for Beijing-Tianjin-Hebei region based on advanced DEA model”, International Review for Spatial Planning and Sustainable Development, vol. 4, no. 3, pp. 36-44.
  32. Liu, H., Zhang, Y., Zhu, Q. & Chu, J. 2017, “Environmental efficiency of land transportation in China: A parallel slack-based measure for regional and temporal analysis”, Journal of Cleaner Production, vol. 142, pp. 867-876.
  33. Liu, L.-., Zhao, W.-., Liu, X.-. & Shao, H.-. 2017, “Evaluation on underground road transportation engineering design project based on data envelopment analysis”, Chang’an Daxue Xuebao (Ziran Kexue Ban)/Journal of Chang’an University (Natural Science Edition), vol. 37, no. 3, pp. 106-112.
  34. Løvold Rødseth, K. 2017, “Productivity growth in urban freight transport: An index number approach”, Transport Policy, vol. 56, pp. 86-95.
  35. Min, H. & Lambert, T. 2015, “An exploratory evaluation of state road provision to commuters and shippers”, Benchmarking, vol. 22, no. 5, pp. 900-919.
  36. Nikolaou, P. & Dimitriou, L. 2018, “Evaluation of road safety policies performance across Europe: Results from benchmark analysis for a decade”, Transportation Research Part A: Policy and Practice, vol. 116, pp. 232-246.
  37. Nozick, L.K., Borderas, H. & Meyburg, A.H. 1998, “Evaluation of travel demand measures and programs: A data envelopment analysis approach”, Transportation Research Part A: Policy and Practice, vol. 32, no. 5, pp. 331-343.
  38. O’Donnell, C.J., Fallah-Fini, S. & Triantis, K. 2017, “Measuring and analysing productivity change in a metafrontier framework”, Journal of Productivity Analysis, vol. 47, no. 2, pp. 117-128.
  39. Ozbek, M.E., de la Garza, J.M. & Triantis, K. 2010, “Efficiency measurement of bridge maintenance using data envelopment analysis”, Journal of Infrastructure Systems, vol. 16, no. 1, pp. 31-39.
  40. Qi, Y.-. 2015, “DEA-based operational efficiency empirical study for China’s listed construction firms with the Belt and Road Initiative”, Metallurgical and Mining Industry, vol. 7, no. 9, pp. 1058-1061.
  41. Rahimi, H., Soori, H., Nazari, S.S.H., Motevalian, S.A., Azar, A., Momeni, E. & Javartani, M. 2017, “The relative efficiency of Iranian’s rural traffic police: A three-stage DEA model”, BMC Public Health, vol. 17, no. 1.
  42. Richmond, C.M., Kielhauser, C. & Adey, B.T. 2016, “Performance measures for road managers facing diverse environments”, Benchmarking, vol. 23, no. 7, pp. 1876-1891.
  43. Rogers, M.M. & Weber, W.L. 2011, “Evaluating CO2 emissions and fatalities tradeoffs in truck transport”, International Journal of Physical Distribution and Logistics Management, vol. 41, no. 8, pp. 750-767.
  44. Roll, Y., Cook, W.D. & Golany, B. 1991, “Controlling factor weights in data envelopment analysis”, IIE Transactions (Institute of Industrial Engineers), vol. 23, no. 1, pp. 2-9.
  45. Rouse, P. & Chiu, T. 2009, “Towards optimal life cycle management in a road maintenance setting using DEA”, European Journal of Operational Research, vol. 196, no. 2, pp. 672-681.
  46. Rouse, P. & Putterill, M. 2005, “Local government amalgamation policy: A highway maintenance evaluation”, Management Accounting Research, vol. 16, no. 4, pp. 438-463.
  47. Rouse, P., Putterill, M. & Ryan, D. 1997, “Towards a General Managerial Framework for Performance Measurement: A Comprehensive Highway Maintenance Application”, Journal of Productivity Analysis, vol. 8, no. 2, pp. 127-149.
  48. Salehian, F., Razmi, J. & Jolai, F. 2018, “A hybrid ranking approach based on fuzzy analytical hierarchy process and data envelopment analysis: Road maintenance and transport organization of Iran”, Journal of Intelligent and Fuzzy Systems, vol. 34, no. 4, pp. 2373-2383.
  49. Sarmento, J., Renneboog, L. & Matos, P.V. 2017, “Measuring highway efficiency by a DEA approach and the Malmquist index”, European Journal of Transport and Infrastructure Research, vol. 17, no. 4, pp. 530-551.
  50. Song, M., Zheng, W. & Wang, Z. 2016, “Environmental efficiency and energy consumption of highway transportation systems in China”, International Journal of Production Economics, vol. 181, pp. 441-449.
  51. Sozen, A. & Cipil, F. 2018, “Efficiency analysis of Turkey’s transportation system using decision support model: Data envelopment method” in Intelligent Transportation and Planning: Breakthroughs in Research and Practice, pp. 480-509.
  52. Tatari, O., Egilmez, G. & Kurmapu, D. 2016, “Socio-eco-efficiency analysis of highways: a data envelopment analysis”, Journal of Civil Engineering and Management, vol. 22, no. 6, pp. 747-757.
  53. Tsai, Y.-., Swartz, S.M. & Megahed, F.M. 2018, “Estimating the relative efficiency of highway safety investments on commercial transportation”, Transportation Journal, vol. 57, no. 2, pp. 193-218.
  54. Ueasin, N. 2017, “An analysis of the operational efficiency of massage and SPA businesses on Asian highway number 15”, Journal of Environmental Management and Tourism, vol. 8, no. 2, pp. 329-333.
  55. Vaziri, M. 2010, “A comparative appraisal of roadway accident for Asia-Pacific countries”, International Journal of Engineering, Transactions A: Basics, vol. 23, no. 2, pp. 111-126.
  56. Wang, L.-. & Tsai, H.-. 2009, “Evaluation of highway maintenance performance using Data Envelopment Analysis (DEA) in Taiwan”, Journal of Marine Science and Technology, vol. 17, no. 2, pp. 145-155.
  57. Wang, Y., Zhang, J. & Xu, W. 2017, “The research on the efficiency of Beijing-Tianjin-Hebei traffic integration”, 4th International Conference on Industrial Economics System and Industrial Security Engineering, IEIS 2017.
  58. Wu, J., Chu, J., An, Q., Sun, J. & Yin, P. 2016, “Resource reallocation and target setting for improving environmental performance of DMUs: An application to regional highway transportation systems in China”, Transportation Research Part D: Transport and Environment, vol. 61, pp. 204-216.
  59. Yao, L. & Chen, K. 2018, Efficiency evaluation model of car sharing for low-income people.
  60. Yu, M.-. 2008, “Measuring the efficiency and return to scale status of multi-mode bus transit – Evidence from Taiwan’s bus system”, Applied Economics Letters, vol. 15, no. 8, pp. 647-653.
  61. Yu, M.-., Chen, L.-. & Hsiao, B. 2016, “Dynamic performance assessment of bus transit with the multi-activity network structure”, Omega (United Kingdom), vol. 60, pp. 15-25.
  62. Yu, M.-. & Fan, C.-. 2006, “Measuring the cost effectiveness of multimode bus transit in the presence of accident risks”, Transportation Planning and Technology, vol. 29, no. 5, pp. 383-407.
  63. Zhang, M., Liu, L.B., Li, Y.H. & Shu, H.B. 2013, “Explore the influence of natural environment to highway traffic safety of mountainous area based on DEA theory”, International Journal of Applied Environmental Sciences, vol. 8, no. 23-24, pp. 2883-2891.

  DEA publications: air transportation system

  64. Abbott, M. 2015, “Reform and efficiency of New Zealand’s airports”, Utilities Policy, vol. 36, pp. 1-9.
  65. Abbott, M. & Wu, S. 2002, “Total factor productivity and efficiency of Australian airports”, Australian Economic Review, vol. 35, no. 3, pp. 244-260.
  66. Ablanedo-Rosas, J.H. & Gemoets, L.A. 2010, “Measuring the efficiency of Mexican airports”, Journal of Air Transport Management, vol. 16, no. 6, pp. 343-345.
  67. Adler, N. & Berechman, J. 2001, “Measuring airport quality from the airlines’ viewpoint: An application of data envelopment analysis”, Transport Policy, vol. 8, no. 3, pp. 171-181.
  68. Adler, N., Forsyth, P., Mueller, J. & Niemeier, H.-. 2015, “An economic assessment of airport incentive regulation”, Transport Policy, vol. 41, pp. 5-15.
  69. Adler, N. & Golany, B. 2001, “Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe”, European Journal of Operational Research, vol. 132, no. 2, pp. 260-273.
  70. Adler, N. & Liebert, V. 2014, “Joint impact of competition, ownership form and economic regulation on airport performance and pricing”, Transportation Research Part A: Policy and Practice, vol. 64, pp. 92-109.
  71. Adler, N., Liebert, V. & Yazhemsky, E. 2013, “Benchmarking airports from a managerial perspective”, Omega (United Kingdom), vol. 41, no. 2, pp. 442-458.
  72. Adler, N., Ülkü, T. & Yazhemsky, E. 2013, “Small regional airport sustainability: Lessons from benchmarking”, Journal of Air Transport Management, vol. 33, pp. 22-31.
  73. Ahn, Y.-. & Min, H. 2014, “Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index”, Journal of Air Transport Management, vol. 39, pp. 12-22.
  74. Amalnick, M.S. & Zadeh, S.A. 2017, “Concurrent Evaluation of Customer Relationship Management and Organizational Excellence: An Empirical Study”, Performance Improvement Quarterly, vol. 30, no. 1, pp. 55-88.
  75. Amoroso, S., Castelluccio, F. & Maritano, L. 2015, “A DEA-based transport heliports’ efficiencies evaluation”, Aircraft Engineering and Aerospace Technology, vol. 87, no. 2, pp. 131-138.
  76. Arjomandi, A., Dakpo, K.H. & Seufert, J.H. 2018, “Have Asian airlines caught up with European Airlines? A by-production efficiency analysis”, Transportation Research Part A: Policy and Practice, vol. 116, pp. 389-403.
  77. Arjomandi, A. & Seufert, J.H. 2014, “An evaluation of the world’s major airlines’ technical and environmental performance”, Economic Modelling, vol. 41, pp. 1-12.
  78. Assaf, A. 2011, “A fresh look at the productivity and efficiency changes of UK airlines”, Applied Economics, vol. 43, no. 17, pp. 2165-2175.
  79. Assaf, A.G. & Josiassen, A. 2011, “The operational performance of UK airlines: 2002-2007”, Journal of Economic Studies, vol. 38, no. 1, pp. 5-16.
  80. Augustyniak, W. 2014, “Efficiency change in regional airports during market liberalization”, Economics and Sociology, vol. 7, no. 1, pp. 85-93.
  81. Baležentis, A. & Baležentis, T. 2011, “Assessing the efficiency of Lithuanian transport sector by applying the methods of multimoora and data envelopment analysis”, Transport, vol. 26, no. 3, pp. 263-270.
  82. Barak, S. & Dahooei, J.H. 2018, “A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation”, Journal of Air Transport Management, vol. 73, pp. 134-149.
  83. Barbot, C., Costa, A. & Sochirca, E. 2008, “Airlines performance in the new market context: A comparative productivity and efficiency analysis”, Journal of Air Transport Management, vol. 14, no. 5, pp. 270-274.
  84. Barros, C.P. 2008, “Airports in Argentina: Technical efficiency in the context of an economic crisis”, Journal of Air Transport Management, vol. 14, no. 6, pp. 315-319.
  85. Barros, C.P., Bin Liang, Q. & Peypoch, N. 2013, “The efficiency of French regional airports: An inverse B-convex analysis”, International Journal of Production Economics, vol. 141, no. 2, pp. 668-674.
  86. Barros, C.P. & Dieke, P.U.C. 2008, “Measuring the economic efficiency of airports: A Simar-Wilson methodology analysis”, Transportation Research Part E: Logistics and Transportation Review, vol. 44, no. 6, pp. 1039-1051.
  87. Barros, C.P., Goncalves, O. & Peypoch, N. 2012, “French regional public airports technical efficiency”, International Journal of Transport Economics, vol. 39, no. 2, pp. 255-274.
  88. Barros, C.P., Liang, Q.B. & Peypoch, N. 2013, “The technical efficiency of US Airlines”, Transportation Research Part A: Policy and Practice, vol. 50, pp. 139-148.
  89. Barros, C.P. & Peypoch, N. 2009, “An evaluation of European airlines’ operational performance”, International Journal of Production Economics, vol. 122, no. 2, pp. 525-533.
  90. Barros, C.P. & Sampaio, A. 2004, “Technical and allocative efficiency in airports”, International Journal of Transport Economics, vol. 31, no. 3, pp. 355-377.
  91. Bazargan, M. & Vasigh, B. 2003, “Size versus efficiency: A case study of US commercial airports”, Journal of Air Transport Management, vol. 9, no. 3, pp. 187-193.
  92. Bhadra, D. 2009, “Race to the bottom or swimming upstream: Performance analysis of US airlines”, Journal of Air Transport Management, vol. 15, no. 5, pp. 227-235.
  93. Bilotkach, V., Gitto, S., Jovanović, R., Mueller, J. & Pels, E. 2015, “Cost-efficiency benchmarking of European air navigation service providers”, Transportation Research Part A: Policy and Practice, vol. 77, pp. 50-60.
  94. Bowlin, W.F. 2004, “Financial analysis of civil reserve air fleet participants using data envelopment analysis”, European Journal of Operational Research, vol. 154, no. 3, pp. 691-709.
  95. Brandaõ, L.C. & Soares De Mello, J.C.C.B. 2017, “Improvements to smooth data envelopment analysis”, RAIRO – Operations Research, vol. 51, no. 1, pp. 157-171.
  96. Button, K. & Neiva, R. 2014, “Economic efficiency of european air traffic control systems”, Journal of Transport Economics and Policy, vol. 48, no. PART 1, pp. 65-80.
  97. Button, K. & Neiva, R. 2013, “Single European Sky and the functional airspace blocks: Will they improve economic efficiency?”, Journal of Air Transport Management, vol. 33, pp. 73-80.
  98. Button, K. & Neiva, R. 2013, “Spatial autocorrelation in the European air navigation system”, Applied Economics Letters, vol. 20, no. 15, pp. 1431-1434.
  99. Cao, Q., Lv, J. & Zhang, J. 2015, “Productivity efficiency analysis of the airlines in China after deregulation”, Journal of Air Transport Management, vol. 42, pp. 135-140.
  100. Capobianco, H.M.P. & Fernandes, E. 2004, “Capital structure in the world airline industry”, Transportation Research Part A: Policy and Practice, vol. 38, no. 6, pp. 421-434.
  101. Carlucci, F., Cirà, A. & Coccorese, P. 2018, “Measuring and explaining airport efficiency and sustainability: Evidence from Italy”, Sustainability (Switzerland), vol. 10, no. 2.
  102. Caulfield, B., Bailey, D. & Mullarkey, S. 2013, “Using data envelopment analysis as a public transport project appraisal tool”, Transport Policy, vol. 29, pp. 74-85.
  103. Chae, M. & Kim, T.S. 2015, “Factors affecting the development of hub airport clusters: focusing on the roles of low-cost carriers in the Asia-Pacific region”, International Journal of Urban Sciences, vol. 19, no. 3, pp. 305-319.
  104. Chan, P.S. & Sueyoshi, T. 1991, “Environmental change, competition, strategy, structure and firm performance: An application of data envelopment analysis in the airline industry”, International Journal of Systems Science, vol. 22, no. 9, pp. 1625-1636.
  105. Chang, Y.-. & Yu, M.-. 2014, “Measuring production and consumption efficiencies using the slack-based measure network data envelopment analysis approach: The case of low-cost carriers”, Journal of Advanced Transportation, vol. 48, no. 1, pp. 15-31.
  106. Chang, Y.-., Yu, M.-. & Chen, P.-. 2013, “Evaluating the performance of Chinese airports”, Journal of Air Transport Management, vol. 31, pp. 19-21.
  107. Chang, Y.-., Kevin Park, H., Zou, B. & Kafle, N. 2016, “Passenger facility charge vs. airport improvement program funds: A dynamic network DEA analysis for U.S. airport financing”, Transportation Research Part E: Logistics and Transportation Review, vol. 88, pp. 76-93.
  108. Chang, Y.-., Park, H.-., Jeong, J.-. & Lee, J.-. 2014, “Evaluating economic and environmental efficiency of global airlines: A SBM-DEA approach”, Transportation Research Part D: Transport and Environment, vol. 27, pp. 46-50.
  109. Charnes, A., Gallegos, A. & Li, H. 1996, “Robustly efficient parametric frontiers via Multiplicative DEA for domestic and international operations of the Latin American airline industry”, European Journal of Operational Research, vol. 88, no. 3, pp. 525-536.
  110. Chen, Y.-., Lai, P.-. & Piboonrungroj, P. 2017, “The relationship between airport performance and privatisation policy: A nonparametric metafrontier approach”, Journal of Transport Geography, vol. 62, pp. 229-235.
  111. Chen, Z., Wanke, P., Antunes, J.J.M. & Zhang, N. 2017, “Chinese airline efficiency under CO2emissions and flight delays: A stochastic network DEA model”, Energy Economics, vol. 68, pp. 89-108.
  112. Cheng, K. 2010, “Evaluation of US legacy airline distribution strategies”, Journal of Air Transport Management, vol. 16, no. 6, pp. 337-339.
  113. Cheng, K., Lee, Z.-. & Shomali, H. 2012, “Airline firm boundary and ticket distribution in electronic markets”, International Journal of Production Economics, vol. 137, no. 1, pp. 137-144.
  114. Chi-Lok, A.Y. & Zhang, A. 2009, “Effects of competition and policy changes on Chinese airport productivity: An empirical investigation”, Journal of Air Transport Management, vol. 15, no. 4, pp. 166-174.
  115. Chiou, Y.-. & Chen, Y.-. 2006, “Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis”, Transportation Research Part E: Logistics and Transportation Review, vol. 42, no. 2, pp. 116-127.
  116. Choi, K., Lee, D.H. & Olson, D.L. 2013, “Service quality and productivity in the U.S. airline industry: a service quality-adjusted DEA model”, Service Business, vol. 9, no. 1, pp. 137-160.
  117. Chou, H.-., Lee, C.-., Chen, H.-. & Tsai, M.-. 2016, “Evaluating airlines with slack-based measures and meta-frontiers”, Journal of Advanced Transportation, vol. 50, no. 6, pp. 1061-1089.
  118. Chow, C.K.W., Fung, M.K.Y. & Law, J.S. 2010, “Estimating technical efficiencies of airports in the Greater China: Stochastic output distance function method vs. Data envelopment analysis method”, International Journal of Shipping and Transport Logistics, vol. 2, no. 3, pp. 284-299.
  119. Coli, M., Nissi, E. & Rapposelli, A. 2011, “Efficiency evaluation in an airline company: Some empirical results”, Journal of Applied Sciences, vol. 11, no. 4, pp. 737-742.
  120. Coto-Millán, P., Casares-Hontañón, P., Inglada, V., Agüeros, M., Pesquera, M.T. & Badiola, A. 2014, “Small is beautiful? The impact of economic crisis, low cost carriers, and size on efficiency in Spanish airports (2009-2011)”, Journal of Air Transport Management, vol. 40, pp. 34-41.
  121. Coto-Millán, P., Inglada, V., Fernández, X.L., Inglada-Pérez, L. & Pesquera, M.T. 2016, “The “effect procargo” on technical and scale efficiency at airports: The case of Spanish airports (2009-2011)”, Utilities Policy, vol. 39, pp. 29-35.
  122. Cui, Q. & Li, Y. 2015, “Evaluating energy efficiency for airlines: An application of VFB-DEA”, Journal of Air Transport Management, vol. 44-45, pp. 34-41.
  123. Cui, Q. & Li, Y. 2015, “The change trend and influencing factors of civil aviation safety efficiency: The case of Chinese airline companies”, Safety Science, vol. 75, pp. 56-63.
  124. Cui, Q., Li, Y. & Lin, J.-. 2018, “Pollution abatement costs change decomposition for airlines: An analysis from a dynamic perspective”, Transportation Research Part A: Policy and Practice, vol. 111, pp. 96-107.
  125. Cui, Q., Wei, Y.-. & Li, Y. 2016, “Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach”, Applied Energy, vol. 183, pp. 984-994.
  126. Curi, C., Gitto, S. & Mancuso, P. 2011, “New evidence on the efficiency of Italian airports: A bootstrapped DEA analysis”, Socio-economic planning sciences, vol. 45, no. 2, pp. 84-93.
  127. Curi, C., Gitto, S. & Mancuso, P. 2010, “The Italian airport industry in transition: A performance analysis”, Journal of Air Transport Management, vol. 16, no. 4, pp. 218-221.
  128. Da Silveira, J.Q., De Mello, J.C.C.B.S. & Meza, L.A. 2012, “Brazilian airlines efficiency evaluation using a data envelopment analysis (DEA) and multiobjective linear programming hybrid model”, Ingeniare, vol. 20, no. 3, pp. 331-342.
  129. D’Alfonso, T., Daraio, C. & Nastasi, A. 2015, “Competition and efficiency in the Italian airport system: New insights from a conditional nonparametric frontier analysis”, Transportation Research Part E: Logistics and Transportation Review, vol. 80, pp. 20-38.
  130. De Nicola, A., Gitto, S. & Mancuso, P. 2013, “Airport quality and productivity changes: A Malmquist index decomposition assessment”, Transportation Research Part E: Logistics and Transportation Review, vol. 58, pp. 67-65.
  131. Diana, T. 2010, “Can we explain airport performance? A case study of selected New York airports using a stochastic frontier model”, Journal of Air Transport Management, vol. 16, no. 6, pp. 310-314.
  132. Domney, M.D., Wilson, H.I.M. & Chen, E. 2005, “Natural monopoly privatisation under different regulatory regimes: A comparison of New Zealand and Australian airports”, International Journal of Public Sector Management, vol. 18, no. 3, pp. 274-292.
  133. Duygun, M., Prior, D., Shaban, M. & Tortosa-Ausina, E. 2016, “Disentangling the European airlines efficiency puzzle: A network data envelopment analysis approach”, Omega (United Kingdom), vol. 60, pp. 2-14.
  134. Ennen, D. & Batool, I. 2018, “Airport efficiency in Pakistan – A Data Envelopment Analysis with weight restrictions”, Journal of Air Transport Management, vol. 69, pp. 205-212.
  135. Fan, L.W., Wu, F. & Zhou, P. 2014, “Efficiency measurement of Chinese airports with flight delays by directional distance function”, Journal of Air Transport Management, vol. 34, pp. 140-145.
  136. Fernandes, E. & Pacheco, R.R. 2018, “Managerial performance of airports in Brazil before and after concessions”, Transportation Research Part A: Policy and Practice, vol. 118, pp. 245-257.
  137. Fernandes, E. & Pacheco, R.R. 2002, “Efficient use of airport capacity”, Transportation Research Part A: Policy and Practice, vol. 36, no. 3, pp. 225-238.
  138. Ferreira, D.C., Marques, R.C. & Pedro, M.I. 2016, “Comparing efficiency of holding business model and individual management model of airports”, Journal of Air Transport Management, vol. 57, pp. 168-183.
  139. Fethi, M.D., Jackson, P.M. & Weyman-Jones, T.G. 2008, “Productivity growth and structural changes in a partially liberalised market: A distance function approach”, International Journal of Business Performance Management, vol. 10, no. 4, pp. 391-411.
  140. Fonseca, A.B.M., de Mello, J.C.C.B.S., Gomes, E.G. & Meza, L.A. 2010, “Uniformization of frontiers in non-radial ZSG-DEA models: An application to airport revenues”, Pesquisa Operacional, vol. 30, no. 1, pp. 175-193.
  141. Foroughi, A., Tahari Mehrjardi, M.H., Meybodi, H.B. & Esfahani, M.J. 2012, “Pragmatics of hybrid approach DEA/VIKOR to assess international airports of Iran”, Indian Journal of Science and Technology, vol. 5, no. 8, pp. 3115-3121.
  142. Fragoudaki, A. & Giokas, D. 2016, “Airport performance in a tourism receiving country: Evidence from Greece”, Journal of Air Transport Management, vol. 52, pp. 80-89.
  143. Fragoudaki, A., Giokas, D. & Glyptou, K. 2016, “Efficiency and productivity changes in Greek airports during the crisis years 2010–2014”, Journal of Air Transport Management, vol. 57, pp. 306-315.
  144. Fung, M.K.Y., Chow, C.K.W. & Van Hui, Y. 2008, “Measuring the efficiency of airports in China with the DEA and endogenous-weight TFP methods”, International Journal of Transport Economics, vol. 35, no. 1, pp. 45-73.
  145. Georges Assaf, A. & Gillen, D. 2012, “Measuring the joint impact of governance form and economic regulation on airport efficiency”, European Journal of Operational Research, vol. 220, no. 1, pp. 187-198.
  146. Gillen, D. & Lall, A. 2001, “Non-parametric measures of efficiency of U.S. airports”, International Journal of Transport Economics, vol. 28, no. 3, pp. 283-306.
  147. Gitto, S. & Mancuso, P. 2012, “Bootstrapping the Malmquist indexes for Italian airports”, International Journal of Production Economics, vol. 135, no. 1, pp. 403-411.
  148. Gitto, S. & Mancuso, P. 2012, “Two faces of airport business: A non-parametric analysis of the Italian airport industry”, Journal of Air Transport Management, vol. 20, pp. 39-42.
  149. Gok, U. & Ugural, S. 2014, “Assessment of Turkish airports’ efficiency using data envelopment analysis”, Actual Problems of Economics, vol. 152, no. 2, pp. 470-478.
  150. Gomes Júnior, S.F., Rubem, A.P.S., Soares de Mello, J.C.C.B. & Angulo Meza, L. 2016, “Evaluation of Brazilian airlines nonradial efficiencies and targets using an alternative DEA approach”, International Transactions in Operational Research, vol. 23, no. 4, pp. 669-689.
  151. Gramani, M.C.N. 2012, “Efficiency decomposition approach: A cross-country airline analysis”, Expert Systems with Applications, vol. 39, no. 5, pp. 5815-5819.
  152. Greer, M.R. 2008, “Nothing focuses the mind on productivity quite like the fear of liquidation: Changes in airline productivity in the United States, 2000-2004”, Transportation Research Part A: Policy and Practice, vol. 42, no. 2, pp. 414-426.
  153. Greer, M.R. 2006, “Are the discount airlines actually more efficient than the legacy carriers?: A data envelopment analysis”, International Journal of Transport Economics, vol. 33, no. 1, pp. 37-55.
  154. Grubesic, T.H. & Wei, F. 2012, “Evaluating the efficiency of the Essential Air Service program in the United States”, Transportation Research Part A: Policy and Practice, vol. 46, no. 10, pp. 1562-1573.
  155. Gutiérrez, E. & Lozano, S. 2016, “Efficiency assessment and output maximization possibilities of European small and medium sized airports”, Research in Transportation Economics, vol. 56, pp. 3-14.
  156. Ha, H.-., Wan, Y., Yoshida, Y. & Zhang, A. 2013, “Airline market structure and airport efficiency: Evidence from major Northeast Asian airports”, Journal of Air Transport Management, vol. 33, pp. 32-42.
  157. Ha, H.-., Yoshida, Y. & Zhang, A. 2010, “Comparative analysis of efficiency for major Northeast Asia airports”, Transportation Journal, vol. 49, no. 4, pp. 9-23.
  158. Hantziagelis, S. & McCabe, B. 2006, “Benchmarking airport reconstruction projects”, Canadian Journal of Civil Engineering, vol. 33, no. 12, pp. 1571-1584.
  159. Hong, S. & Zhang, A. 2010, “An efficiency study of airlines and air cargo/passenger divisions: A DEA approach”, World Review of Intermodal Transportation Research, vol. 3, no. 1-2, pp. 137-149.
  160. Hu, J.-., Li, Y. & Tung, H.-. 2017, “Operational efficiency of ASEAN airlines: based on DEA and bootstrapping approaches”, Management Decision, vol. 55, no. 5, pp. 957-986.
  161. Hu, J.-., Shieh, H.-., Huang, C.-. & Chiu, C.-. 2009, “Cost efficiency of International tourist hotels in Taiwan: A data envelopment analysis application”, Asia Pacific Journal of Tourism Research, vol. 14, no. 4, pp. 371-384.
  162. Jahangoshai Rezaee, M. & Yousefi, S. 2018, “An intelligent decision making approach for identifying and analyzing airport risks”, Journal of Air Transport Management, vol. 68, pp. 14-27.
  163. Jain, R.K. & Natarajan, R. 2015, “A DEA study of airlines in India”, Asia Pacific Management Review, vol. 20, no. 4, pp. 285-292.
  164. Jang, S., Choi, K. & Lee, K. 2011, “External shocks and efficiency changes in the US airline industry”, Service Industries Journal, vol. 31, no. 14, pp. 2411-2435.
  165. Jaržemskiene, I. 2012, “Applying the method of measuring airport productivity in the Baltic region”, Transport, vol. 27, no. 2, pp. 178-186.
  166. Jaržemskis, A. & Jaržemskienė, I. 2018, “Upgraded data envelopment analysis model application for total productivity comparison in major airports of the European Union”, Economic Research-Ekonomska Istrazivanja, vol. 31, no. 1, pp. 1273-1288.
  167. Joo, S.-. & Fowler, K.L. 2014, “Exploring comparative efficiency and determinants of efficiency for major world airlines”, Benchmarking, vol. 21, no. 4, pp. 675-687.
  168. Kadziński, M., Labijak, A. & Napieraj, M. 2017, “Integrated framework for robustness analysis using ratio-based efficiency model with application to evaluation of Polish airports”, Omega (United Kingdom), vol. 67, pp. 1-18.
  169. Kan Tsui, W.H., Balli, H.O., Gilbey, A. & Gow, H. 2014, “Operational efficiency of Asia-Pacific airports”, Journal of Air Transport Management, vol. 40, pp. 16-24.
  170. Khezrimotlagh, D., Salleh, S. & Mohsenpour, Z. 2013, “A new robust mixed integer-valued model in DEA”, Applied Mathematical Modelling, vol. 37, no. 24, pp. 9885-9897.
  171. Kim, H.-., Choi, C.-., Woo, J.-., Choi, Y., Kim, K. & Wu, D.D. 2011, “Efficiency of the modal shift and environmental policy on the Korean railroad”, Stochastic Environmental Research and Risk Assessment, vol. 25, no. 3, pp. 305-322.
  172. Kim, J.-. & Prater, E. 2011, “Service marketing productivity and firm profit: Evidence from U.S. domestic airline companies”, Services Marketing Quarterly, vol. 32, no. 3, pp. 181-198.
  173. Kottas, A.T. & Madas, M.A. 2018, “Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants”, Journal of Air Transport Management, vol. 70, pp. 1-17.
  174. Lai, P., Potter, A., Beynon, M. & Beresford, A. 2015, “Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique”, Transport Policy, vol. 42, pp. 75-85.
  175. Lai, P.-., Potter, A. & Beynon, M. 2012, “The development of benchmarking techniques in airport performance evaluation research”, Transportation Journal, vol. 51, no. 3, pp. 305-337.
  176. Lam, S.W., Low, J.M.W. & Tang, L.C. 2009, “Operational efficiencies across Asia Pacific airports”, Transportation Research Part E: Logistics and Transportation Review, vol. 45, no. 4, pp. 654-665.
  177. Lee, B.L. & Worthington, A.C. 2014, “Technical efficiency of mainstream airlines and low-cost carriers: New evidence using bootstrap data envelopment analysis truncated regression”, Journal of Air Transport Management, vol. 38, pp. 15-20.
  178. Lee, C.-. & Johnson, A.L. 2012, “Two-dimensional efficiency decomposition to measure the demand effect in productivity analysis”, European Journal of Operational Research, vol. 216, no. 3, pp. 584-593.
  179. Li, S.-. 2014, “The cost allocation approach of airport service activities”, Journal of Air Transport Management, vol. 38, pp. 48-53.
  180. Li, Y. & Cui, Q. 2018, “Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model”, Energy, vol. 161, pp. 725-736.
  181. Li, Y. & Cui, Q. 2017, “Carbon neutral growth from 2020 strategy and airline environmental inefficiency: A Network Range Adjusted Environmental Data Envelopment Analysis”, Applied Energy, vol. 199, pp. 13-24.
  182. Lin, E.T.J. 2008, “Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis: A comment”, Transportation Research Part E: Logistics and Transportation Review, vol. 44, no. 5, pp. 894-899.
  183. Lin, L.C. & Hong, C.H. 2006, “Operational performance evaluation of international major airports: An application of data envelopment analysis”, Journal of Air Transport Management, vol. 12, no. 6, pp. 342-351.
  184. Lin, W.-. 2012, “Financial performance and customer service: An examination using activity-based costing of 38 international airlines”, Journal of Air Transport Management, vol. 19, no. 1, pp. 13-15.
  185. Liu, D. 2017, “Evaluating the multi-period efficiency of East Asia airport companies”, Journal of Air Transport Management, vol. 59, pp. 71-82.
  186. Liu, D. 2016, “Measuring aeronautical service efficiency and commercial service efficiency of East Asia airport companies: An application of Network Data Envelopment Analysis”, Journal of Air Transport Management, vol. 52, pp. 11-22.
  187. lo Storto, C. 2018, “Ownership structure and the technical, cost, and revenue efficiency of Italian airports”, Utilities Policy, vol. 50, pp. 175-193.
  188. lo Storto, C. 2018, “The analysis of the cost-revenue production cycle efficiency of the Italian airports: A NSBM DEA approach”, Journal of Air Transport Management, vol. 72, pp. 77-85.
  189. lo Storto, C. 2017, “Product benchmarking in the air cargo industry: Non-parametric measurement of an aircraft value for money”, Benchmarking, vol. 24, no. 4, pp. 857-881.
  190. Loos, M.J., Taboada Rodriguez, C.M., Petri, S.M. & Matos, L.S. 2016, “Mapping the state of the art of airport performance measurement”, Espacios, vol. 37, no. 26.
  191. Lozano, S. & Gutiérrez, E. 2014, “A slacks-based network DEA efficiency analysis of European airlines”, Transportation Planning and Technology, vol. 37, no. 7, pp. 623-637.
  192. Lozano, S. & Gutiérrez, E. 2011, “Efficiency Analysis and Target Setting of Spanish Airports”, Networks and Spatial Economics, vol. 11, no. 1, pp. 139-157.
  193. Lu, W.-., Wang, W.-., Hung, S.-. & Lu, E.-. 2012, “The effects of corporate governance on airline performance: Production and marketing efficiency perspectives”, Transportation Research Part E: Logistics and Transportation Review, vol. 48, no. 2, pp. 529-544.
  194. Mallikarjun, S. 2015, “Efficiency of US airlines: A strategic operating model”, Journal of Air Transport Management, vol. 43, pp. 46-56.
  195. Marti, L., Puertas, R. & Calafat, C. 2015, “Efficiency of airlines: Hub and spoke versus point-to-point”, Journal of Economic Studies, vol. 42, no. 1, pp. 157-166.
  196. Martín, J.C. & Román, C. 2010, “Evaluating the service quality of major air carriers: A DEA approach”, International Journal of Applied Management Science, vol. 2, no. 4, pp. 351-371.
  197. Martín, J.C. & Román, C. 2006, “A benchmarking analysis of Spanish commercial airports. A comparison between SMOP and DEA ranking methods”, Networks and Spatial Economics, vol. 6, no. 2, pp. 111-134.
  198. Martín, J.C. & Román, C. 2001, “An application of DEA to measure the efficieny of Spanish airports prior to privatization”, Journal of Air Transport Management, vol. 7, no. 3, pp. 149-157.
  199. Merkert, R. & Assaf, A.G. 2015, “Using DEA models to jointly estimate service quality perception and profitability – Evidence from international airports”, Transportation Research Part A: Policy and Practice, vol. 75, pp. 42-50.
  200. Merkert, R. & Hensher, D.A. 2011, “The impact of strategic management and fleet planning on airline efficiency – a random effects tobit model based on dea efficiency scores”, Transportation Research Part A: Policy and Practice, vol. 45, no. 7, pp. 686-695.
  201. Merkert, R. & Mangia, L. 2014, “Efficiency of Italian and Norwegian airports: A matter of management or of the level of competition in remote regions?”, Transportation Research Part A: Policy and Practice, vol. 62, pp. 30-38.
  202. Merkert, R. & Morrell, P.S. 2012, “Mergers and acquisitions in aviation – Management and economic perspectives on the size of airlines”, Transportation Research Part E: Logistics and Transportation Review, vol. 48, no. 4, pp. 853-862.
  203. Merkert, R. & Pearson, J. 2015, “A non-parametric efficiency measure incorporating perceived airline service levels and profitability”, Journal of Transport Economics and Policy, vol. 49, pp. 261-275.
  204. Merkert, R. & Williams, G. 2013, “Determinants of European PSO airline efficiency – Evidence from a semi-parametric approach”, Journal of Air Transport Management, vol. 29, pp. 11-16.
  205. Mhlanga, O. 2018, “Factors impacting airline efficiency in southern Africa: a data envelopment analysis”, GeoJournal, , pp. 1-12.
  206. Mhlanga, O., Steyn, J. & Spencer, J. 2018, “The airline industry in South Africa: drivers of operational efficiency and impacts”, Tourism Review, vol. 73, no. 3, pp. 389-400.
  207. Michaelides, P.G., Belegri-Roboli, A., Karlaftis, M. & Marinos, T. 2009, “International air transportation carriers: Evidence from SFA and DEA technical efficiency results (1991-2000)”, European Journal of Transport and Infrastructure Research, vol. 9, no. 4, pp. 347-362.
  208. Min, H. & Joo, S.-. 2016, “A comparative performance analysis of airline strategic alliances using data envelopment analysis”, Journal of Air Transport Management, vol. 52, pp. 99-110.
  209. Mohammad Zarandini, H. 2013, “Designing the productivity system with the aid of the dynamic complex models of the data envelopment analysis for the administrative discipline of the Mehrabad International Airport through focusing on the airport operation department”, Life Science Journal, vol. 10, no. 1, pp. 731-738.
  210. Murillo-Melchor, C. 1999, “An analysis of technical efficiency and productivity changes in Spanish airports using the Malmquist index”, International Journal of Transport Economics, vol. 26, no. 2, pp. 271-292.
  211. Olfat, L. & Pishdar, M. 2017, “Interval type-2 fuzzy dynamic network data envelopment analysis with undesirable outputs considering double frontiers: An application to Iran Airports sustainability evaluation”, International Journal of Industrial Engineering : Theory Applications and Practice, vol. 24, no. 6, pp. 635-662.
  212. Omrani, H. & Soltanzadeh, E. 2016, “Dynamic DEA models with network structure: An application for Iranian airlines”, Journal of Air Transport Management, vol. 57, pp. 52-61.
  213. Örkcü, H.H., Balikçi, C., Dogan, M.I. & Genç, A. 2016, “An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009-2014 case”, Transport Policy, vol. 48, pp. 92-104.
  214. Ouellette, P., Petit, P., Tessier-Parent, L.-. & Vigeant, S. 2010, “Introducing regulation in the measurement of efficiency, with an application to the Canadian air carriers industry”, European Journal of Operational Research, vol. 200, no. 1, pp. 216-226.
  215. Öztürk, E. & Bal, H. 2017, “Ranking the airports with data envelopment analysis and canonical correlation analysis”, Gazi University Journal of Science, vol. 30, no. 2, pp. 237-245.
  216. Pacheco, R.R. & Fernandes, E. 2003, “Managerial efficiency of Brazilian airports”, Transportation Research Part A: Policy and Practice, vol. 37, no. 8, pp. 667-680.
  217. Pacheco, R.R., Fernandes, E. & de Sequeira Santos, M.P. 2006, “Management style and airport performance in Brazil”, Journal of Air Transport Management, vol. 12, no. 6, pp. 324-330.
  218. Pandey, M.M. 2016, “Evaluating operational efficiency of airports in Thailand with special reference to low cost traffic”, Journal of Applied Economic Sciences, vol. 11, no. 2, pp. 321-323.
  219. Parker, D. 1999, “The performance of BAA before and after privatisation a DE a study”, Journal of Transport Economics and Policy, vol. 33, no. 2, pp. 133-146.
  220. Peck Jr., M.W., Scheraga, C.A. & Boisjoly, R.P. 1998, “Assessing the relative efficiency of aircraft maintenance technologies: An application of data envelopment analysis”, Transportation Research Part A: Policy and Practice, vol. 32, no. 4, pp. 261-269.
  221. Pegels, C.C. & Yang, B. 2000, “The impact of managerial characteristics on strategic assets management capabilities”, Team Performance Management: An International Journal, vol. 6, pp. 97-107.
  222. Pegels, C.C. & Yang, B. 2000, “Top management team impact on strategic assets accumulation capabilities”, Management Decision, vol. 38, no. 10, pp. 694-710.
  223. Pels, E., Nijkamp, P. & Rietveld, P. 2003, “Inefficiencies and scale economies of European airport operations”, Transportation Research Part E: Logistics and Transportation Review, vol. 39, no. 5, pp. 341-361.
  224. Pels, E., Nijkamp, P. & Rietveld, P. 2001, “Relative efficiency of European airports”, Transport Policy, vol. 8, no. 3, pp. 183-192.
  225. Perelman, S. & Serebrisky, T. 2012, “Measuring the technical efficiency of airports in Latin America”, Utilities Policy, vol. 22, pp. 1-7.
  226. Périco, A.E., Santana, N.B. & Do Nascimento Rebelatto, D.A. 2017, “Efficiency of Brazilian international airports: Applying the bootstrap data envelopment analysis”, Gestao e Producao, vol. 24, no. 2, pp. 370-381.
  227. Pestana Barros, C. & Dieke, P.U.C. 2007, “Performance evaluation of Italian airports: A data envelopment analysis”, Journal of Air Transport Management, vol. 13, no. 4, pp. 184-191.
  228. Rai, A. 2013, “Measurement of efficiency in the airline industry using data envelopment analysis”, Investment Management and Financial Innovations, vol. 10, no. 1, pp. 38-45.
  229. Ray, S.C. 2008, “The directional distance function and measurement of super-efficiency: An application to airlines data”, Journal of the Operational Research Society, vol. 59, no. 6, pp. 788-797.
  230. Roghanian, E. & Foroughi, A. 2010, “An empirical study of iranian regional airports using robust data envelopment analysis”, International Journal of Industrial Engineering Computations, vol. 1, no. 1, pp. 65-72.
  231. Rouse, P., Putterill, M. & Ryan, D. 2002, “Integrated performance measurement design: Insights from an application in aircraft maintenance”, Management Accounting Research, vol. 13, no. 2, pp. 229-248.
  232. Rubem, A.P.S., Soares de Mello, J.C.C.B., Angulo Meza, L. & Gomes, S.F. 2017, “An analysis of airlines efficiency using a DEA model and dynamic clusters”, Espacios, vol. 38, no. 37.
  233. Sakthidharan, V. & Sivaraman, S. 2018, “Impact of operating cost components on airline efficiency in India: A DEA approach”, Asia Pacific Management Review.
  234. Salazar De La Cruz, F. 1999, “A DEA approach to the airport production function”, International Journal of Transport Economics, vol. 26, no. 2, pp. 255-270.
  235. Saranga, H. & Nagpal, R. 2016, “Drivers of operational efficiency and its impact on market performance in the Indian Airline industry”, Journal of Air Transport Management, vol. 53, pp. 165-176.
  236. Sarkis, J. 2000, “Analysis of the operational efficiency of major airports in the United States”, Journal of Operations Management, vol. 18, no. 3, pp. 335-351.
  237. Sarkis, J. & Talluri, S. 2004, “Performance based clustering for benchmarking of US airports”, Transportation Research Part A: Policy and Practice, vol. 38, no. 5, pp. 329-346.
  238. Savolainen, V.-. & Hilmola, O.-. 2009, “The relative technical efficiency of European transportation systems concerning air transport and railways”, International Journal of Business Performance Management, vol. 11, no. 1-2, pp. 19-42.
  239. Savolainen, V.-. & Hilmola, O.-. 2008, “Does privatisation matter in the efficiency of airline freight transports? Evidence from the European market”, World Review of Intermodal Transportation Research, vol. 2, no. 1, pp. 9-29.
  240. Schefczyk, M. 1993, “Operational performance of airlines: An extension of traditional measurement paradigms”, Strategic Management Journal, vol. 14, no. 4, pp. 301-317.
  241. Scheraga, C.A. 2004, “Operational efficiency versus financial mobility in the global airline industry: A data envelopment and Tobit analysis”, Transportation Research Part A: Policy and Practice, vol. 38, no. 5, pp. 383-404.
  242. Scheraga, C.A. 2004, “The relationship between operational efficiency and customer service: A global study of thirty-eight large international airlines”, Transportation Journal, vol. 43, no. 3, pp. 48-58.
  243. Semenick Alam, I.M. & Sickles, R.C. 1998, “The Relationship between Stock Market Returns and Technical Efficiency Innovations: Evidence from the US Airline Industry”, Journal of Productivity Analysis, vol. 9, no. 1, pp. 35-51.
  244. Seufert, J.H., Arjomandi, A. & Dakpo, K.H. 2017, “Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator”, Transportation Research Part E: Logistics and Transportation Review, vol. 104, pp. 52-68.
  245. Shao, Y. & Sun, C. 2016, “Performance evaluation of China’s air routes based on network data envelopment analysis approach”, Journal of Air Transport Management, vol. 55, pp. 67-75.
  246. Sickles, R.C., Good, D.H. & Getachew, L. 2002, “Specification of distance functions using semi- and nonparametric methods with an application to the dynamic performance of Eastern and Western European air carriers”, Journal of Productivity Analysis, vol. 17, no. 1-2, pp. 133-155.
  247. Soltanzadeh, E. & Omrani, H. 2018, “Dynamic network data envelopment analysis model with fuzzy inputs and outputs: An application for Iranian Airlines”, Applied Soft Computing Journal, vol. 63, pp. 268-288.
  248. Suzuki, S., Nijkamp, P., Pels, E. & Rietveld, P. 2014, “Comparative performance analysis of European airports by means of extended data envelopment analysis”, Journal of Advanced Transportation, vol. 48, no. 3, pp. 185-202.
  249. Suzuki, S., Nijkamp, P., Rietveld, P. & Pels, E. 2010, “A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency”, European Journal of Operational Research, vol. 207, no. 2, pp. 1104-1115.
  250. Tapiador, F.J., Mateos, A. & Martí-Henneberg, J. 2008, “The geographical efficiency of Spain’s regional airports: A quantitative analysis”, Journal of Air Transport Management, vol. 14, no. 4, pp. 205-212.
  251. Tavassoli, M., Faramarzi, G.R. & Farzipoor Saen, R. 2014, “Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input”, Journal of Air Transport Management, vol. 34, pp. 146-153.
  252. Tofallis, C. 1997, “Input efficiency profiling: An application to airlines”, Computers and Operations Research, vol. 24, no. 3, pp. 253-258.
  253. Tsekeris, T. 2011, “Greek airports: Efficiency measurement and analysis of determinants”, Journal of Air Transport Management, vol. 17, no. 2, pp. 139-141.
  254. Tseng, K.-., Ho, J.-. & Liu, Y.-. 2008, “A study on the performance evaluation of major international airports in the world”, Journal of Modelling in Management, vol. 3, no. 1, pp. 71-81.
  255. Ülkü, T. 2015, “A comparative efficiency analysis of Spanish and Turkish airports”, Journal of Air Transport Management, vol. 46, pp. 56-68.
  256. Wang, Q., Liu, Z. & Zhang, Y. 2017, “A Novel Weighting Method for Finding Common Weights in DEA”, Asia-Pacific Journal of Operational Research, vol. 34, no. 5.
  257. Wang, W.-., Lin, F., Ting, I.W.K., Kweh, Q.L., Lu, W.-. & Chiu, T.-. 2017, “Does asset-light strategy contribute to the dynamic efficiency of global airlines?”, Journal of Air Transport Management, vol. 62, pp. 99-108.
  258. Wang, W.-., Lu, W.-. & Tsai, C.-. 2011, “The relationship between airline performance and corporate governance amongst US Listed companies”, Journal of Air Transport Management, vol. 17, no. 2, pp. 147-151.
  259. Wang, Y. & Chou, C.-. 2018, “Analysis on criteria influencing air cargo efficiency”, Journal of Quality, vol. 25, no. 4, pp. 258-270.
  260. Wanke, P. & Barros, C.P. 2017, “Efficiency thresholds and cost structure in Senegal airports”, Journal of Air Transport Management, vol. 58, pp. 100-112.
  261. Wanke, P. & Barros, C.P. 2016, “Efficiency in Latin American airlines: A two-stage approach combining Virtual Frontier Dynamic DEA and Simplex Regression”, Journal of Air Transport Management, vol. 54, pp. 93-103.
  262. Wanke, P.F. 2013, “Physical infrastructure and flight consolidation efficiency drivers in Brazilian airports: A two-stage network-DEA approach”, Journal of Air Transport Management, vol. 31, pp. 1-5.
  263. Wanke, P.F. 2012, “Capacity shortfall and efficiency determinants in Brazilian airports: Evidence from bootstrapped DEA estimates”, Socio-economic planning sciences, vol. 46, no. 3, pp. 216-229.
  264. Widener, S., Erkoc, M. & Sharit, J. 2011, “Assessment of airport air side performability from the perspective of the consumer”, International Journal of Performability Engineering, vol. 7, no. 2, pp. 121-136.
  265. Wu, C., Wang, X., Zhang, X., Li, Y. & O’Brien, B. 2013, “Chinese airline competitiveness evaluation based on extended binary relative evaluation(BRE) model”, Journal of Business Economics and Management, vol. 14, no. SUPPL1, pp. S227-S256.
  266. Wu, W.-. & Liao, Y.-. 2014, “A balanced scorecard envelopment approach to assess airlines’ performance”, Industrial Management and Data Systems, vol. 114, no. 1, pp. 123-143.
  267. Wu, Y., He, C. & Cao, X. 2013, “The impact of environmental variables on the efficiency of Chinese and other non-Chinese airlines”, Journal of Air Transport Management, vol. 29, pp. 35-38.
  268. Yang, H.-. 2010, “Efficiency and productivity evidence from international airports in the Asia-Pacific region”, Journal of the Chinese Institute of Industrial Engineers, vol. 27, no. 2, pp. 157-168.
  269. Yang, H.-. 2010, “Measuring the efficiencies of Asia-Pacific international airports – Parametric and non-parametric evidence”, Computers and Industrial Engineering, vol. 59, no. 4, pp. 697-702.
  270. Yoshimoto, D., Alves, C.J.P. & Caetano, M. 2018, “Airport economic efficient frontier”, Journal of Operations and Supply Chain Management, vol. 11, no. 1, pp. 26-36.
  271. Yu, M.-. 2012, “Performance assessment of transport services with the ERM-NDEA model: Evidence from a domestic airline in Taiwan”, Transportation Planning and Technology, vol. 35, no. 7, pp. 697-714.
  272. Yu, M.-. 2010, “Assessment of airport performance using the SBM-NDEA model”, Omega, vol. 38, no. 6, pp. 440-452.
  273. Yu, M.-. 2010, “Capacity efficiency measurement using a three-stage DEA approach: Evidence from domestic airports in Taiwan”, Transportation Planning and Technology, vol. 33, no. 2, pp. 221-235.
  274. Yu, M.-. 2004, “Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors”, Journal of Air Transport Management, vol. 10, no. 5, pp. 295-303.
  275. Yu, M.-., Chang, Y.-. & Chen, L.-. 2016, “Measurement of airlines’ capacity utilization and cost gap: Evidence from low-cost carriers”, Journal of Air Transport Management, vol. 53, pp. 186-198.
  276. Yu, M.-., Chen, L.-. & Chiang, H. 2017, “The effects of alliances and size on airlines’ dynamic operational performance”, Transportation Research Part A: Policy and Practice, vol. 106, pp. 197-214.
  277. Yu, M.-. & Chen, P.-. 2011, “Measuring air routes performance using a fractional network data envelopment analysis model”, Central European Journal of Operations Research, vol. 19, no. 1, pp. 81-98.
  278. Yu, M.-., Chern, C.-. & Hsiao, B. 2013, “Human resource rightsizing using centralized data envelopment analysis: Evidence from Taiwan’s Airports”, Omega (United Kingdom), vol. 41, no. 1, pp. 119-130.
  279. Zandieh, M., Azadeh, A., Hadadi, B. & Saberi, M. 2009, “Application of artificial neural networks for airline number of passenger estimation in time series state”, Journal of Applied Sciences, vol. 9, no. 6, pp. 1001-1013.
  280. Zhang, B., Wang, J., Meng, L., Zhu, C. & Nie, R. 2014, “Estimating returns to scale of Chinese airport airside activities using the CCR-0-objective RTS method”, Journal of the Operational Research Society, vol. 65, no. 5, pp. 755-762.
  281. Zhu, D.-., Lin, C.-., Yang, C.-. & Chang, K.-. 2012, “Managing airline productivity using data envelopment analysis”, International Journal of Business Performance Management, vol. 13, no. 3-4, pp. 294-311.
  282. Zou, B., Kafle, N., Chang, Y.-. & Park, K. 2015, “US airport financial reform and its implications for airport efficiency: An exploratory investigation”, Journal of Air Transport Management, vol. 47, pp. 66-78.

  DEA publications: maritime transportation system

  283. Abid, C. & Tadj, L. 2012, “Using data envelopment analysis to measure ports efficiency”, International Journal of Business Performance Management, vol. 13, no. 3-4, pp. 257-273.
  284. Ablanedo-Rosas, J.H., Gao, H., Zheng, X., Alidaee, B. & Wang, H. 2010, “A study of the relative efficiency of Chinese ports: A financial ratio-based data envelopment analysis approach”, Expert Systems, vol. 27, no. 5, pp. 349-362.
  285. Affuso, A., Ferrarese, C. & Nannariello, G. 2013, “Spending review: A port authorities efficiency analysis”, Scienze Regionali, vol. 12, no. 3, pp. 111-143.
  286. Al-Eraqi, A.S., Mustafa, A., Khader, A.T. & Barros, C.P. 2008, “Efficiency of middle eastern and East African seaports: Application of DEA using window analysis”, European Journal of Scientific Research, vol. 23, no. 4, pp. 597-612.
  287. Asić, A. 2011, “Analysis of passenger port efficiency in the Republic of Croatia”, Pomorstvo, vol. 25, no. 1, pp. 71-86.
  288. Badau, F. 2015, “Ranking trade resistance variables using data envelopment analysis”, European Journal of Operational Research, vol. 247, no. 3, pp. 978-986.
  289. Barros, C.P. 2003, “The measurement of efficiency of Portuguese sea port authorities with DEA”, International Journal of Transport Economics, vol. 30, no. 3, pp. 335-354.
  290. Barros, C.P. & Athanassiou, M. 2004, “Efficiency in European seaports with DEA: Evidence from Greece and Portugal”, Maritime Economics and Logistics, vol. 6, no. 2, pp. 122-140.
  291. Barros, C.P. & Peypoch, N. 2012, “Productivity assessment of African seaports with biased technological change”, Transportation Planning and Technology, vol. 35, no. 6, pp. 663-675.
  292. Bergantino, A.S. & Musso, E. 2011, “The role of external factors versus managerial ability in determining seaports relative efficiency: An input-by-input analysis through a multi-step approach on a panel of Southern European ports”, Maritime Economics and Logistics, vol. 13, no. 2, pp. 121-141.
  293. Bergantino, A.S., Musso, E. & Porcelli, F. 2013, “Port management performance and contextual variables: Which relationship? Methodological and empirical issues”, Research in Transportation Business and Management, vol. 8, pp. 39-49.
  294. Beuren, M.M., Andriotti, R., Vieira, G.B.B., Ribeiro, J.L.D. & Neto, F.J.K. 2018, “On measuring the efficiency of Brazilian ports and their management models oa”, Maritime Economics and Logistics, vol. 20, no. 1, pp. 149-168.
  295. Bichou, K. 2013, “An empirical study of the impacts of operating and market conditions on container-port efficiency and benchmarking”, Research in Transportation Economics, vol. 42, no. 1, pp. 28-37.
  296. Bichou, K. 2011, “A two-stage supply chain DEA model for measuring container-terminal efficiency”, International Journal of Shipping and Transport Logistics, vol. 3, no. 1, pp. 6-26.
  297. Bichou, K. 2011, “Assessing the impact of procedural security on container port efficiency”, Maritime Economics and Logistics, vol. 13, no. 1, pp. 1-28.
  298. Birgun, S. & Akten, N. 2005, “Relative efficiencies of seaport container terminals: a DEA perspective”, International Journal of Integrated Supply Management, vol. 1, no. 4, pp. 442-456.
  299. Bonilla, M., Casasús, T., Medal, A. & Sala, R. 2004, “An efficiency analysis with tolerance of the Spanish port system”, International Journal of Transport Economics, vol. 31, no. 3, pp. 379-400.
  300. Bonilla, M., Medal, A., Casaus, T. & Sala, R. 2002, “The traffic in Spanish ports: An efficiency analysis”, International Journal of Transport Economics, vol. 29, no. 2, pp. 215-230.
  301. Caillaux, M.A., Sant’Anna, A.P., Meza, L.A. & Soares De Mello, J.C.C.B. 2011, “Container logistics in Mercosur: Choice of a transhipment port using the ordinal Copeland method, data envelopment analysis and probabilistic composition”, Maritime Economics and Logistics, vol. 13, no. 4, pp. 355-370.
  302. Carvalho, P., Marques, R.C., Fonseca, Á. & Simões, P. 2010, “Governance and comparative performance of Iberian Peninsula seaports. An application of non-parametric techniques”, International Journal of Transport Economics, vol. 37, no. 1, pp. 31-51.
  303. Cavaignac, L. & Petiot, R. 2017, “A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis”, Socio-economic planning sciences, vol. 57, pp. 84-96.
  304. Chang, S.-., Wang, J.-., Yu, M.-., Shang, K.-., Lin, S.-. & Hsiao, B. 2015, “An application of centralized data envelopment analysis in resource allocation in container terminal operations”, Maritime Policy and Management, vol. 42, no. 8, pp. 776-788.
  305. Chang, V. & Tovar, B. 2017, “Metafrontier analysis on productivity for West Coast of South Pacific terminals”, Transportation Research Part A: Policy and Practice, vol. 103, pp. 118-134.
  306. Chang, Y.-. 2013, “Environmental efficiency of ports: A Data Envelopment Analysis approach”, Maritime Policy and Management, vol. 40, no. 5, pp. 467-478.
  307. Chang, Y.-., Park, H.K., Lee, S. & Kim, E. 2018, “Have Emission Control Areas (ECAs) harmed port efficiency in Europe?”, Transportation Research Part D: Transport and Environment, vol. 58, pp. 39-53.
  308. Chang, Z., Yang, D., Wan, Y. & Han, T. 2018, “Analysis on the features of Chinese dry ports: Ownership, customs service, rail service and regional competition”, Transport Policy, .
  309. Chao, S. 2017, “Integrating multi-stage data envelopment analysis and a fuzzy analytical hierarchical process to evaluate the efficiency of major global liner shipping companies”, Maritime Policy and Management, vol. 44, no. 4, pp. 496-511.
  310. Chen, C. & Lam, J.S.L. 2018, “Sustainability and interactivity between cities and ports: a two-stage data envelopment analysis (DEA) approach”, Maritime Policy and Management, vol. 45, no. 7, pp. 944-961.
  311. Chen, J., Wan, Z., Zhang, F., Park, N.-., He, X. & Yin, W. 2016, “Operational Efficiency Evaluation of Iron Ore Logistics at the Ports of Bohai Bay in China: Based on the PCA-DEA Model”, Mathematical Problems in Engineering, vol. 2016.
  312. Cheon, S., Maltz, A. & Dooley, K. 2017, “The link between economic and environmental performance of the top 10 U.S. ports”, Maritime Policy and Management, vol. 44, no. 2, pp. 227-247.
  313. Costa, E.F., Meza, L.A. & Roboredo, M.C. 2018, “A DEA model to evaluate Brazilian container terminals”, RAIRO – Operations Research, vol. 52, no. 3, pp. 743-754.
  314. Cullinane, K., Ji, P. & Wang, T.-. 2005, “The relationship between privatization and DEA estimates of efficiency in the container port industry”, Journal of economics and business, vol. 57, no. 5, pp. 433-462.
  315. Cullinane, K., Song, D.-. & Wang, T. 2005, “The application of mathematical programming approaches to estimating container port production efficiency”, Journal of Productivity Analysis, vol. 24, no. 1, pp. 73-92.
  316. Cullinane, K. & Wang, T. 2010, “The efficiency analysis of container port production using DEA panel data approaches”, OR Spectrum, vol. 32, no. 3, pp. 717-738.
  317. Cullinane, K., Wang, T.-., Song, D.-. & Ji, P. 2006, “The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis”, Transportation Research Part A: Policy and Practice, vol. 40, no. 4, pp. 354-374.
  318. Cunha Marques, R. & Luz Carvalho, M. 2009, “Governance and performance evaluation of the Portuguese seaports in the European context”, International Journal of Services, Economics and Management, vol. 1, no. 4, pp. 340-357.
  319. da Cruz, M.R.P. & de Matos Ferreira, J.J. 2016, “Evaluating Iberian seaport competitiveness using an alternative DEA approach”, European Transport Research Review, vol. 8, no. 1, pp. 1-9.
  320. de Koster, M.B.M., Balk, B.M. & van Nus, W.T.I. 2009, “On using DEA for benchmarking container terminals”, International Journal of Operations and Production Management, vol. 29, no. 11, pp. 1140-1155.
  321. de Oliveira, G.F. & Cariou, P. 2011, “A DEA study of the efficiency of 122 iron ore and coal ports and of 15/17 countries in 2005”, Maritime Policy and Management, vol. 38, no. 7, pp. 727-743.
  322. Díaz-Hernández, J.J., Martínez-Budría, E. & Salazar-González, J.J. 2014, “Measuring cost efficiency in the presence of quasi-fixed inputs using dynamic data envelopment analysis: The case of port infrastructure”, Maritime Economics and Logistics, vol. 16, no. 2, pp. 111-126.
  323. Díaz-Hernández, J.J., Nez-Budría, E.M. & Jara-Díaz, S. 2012, “The economic efficiency in stevedoring determinants industry”, International Journal of Transport Economics, vol. 39, no. 3, pp. 369-396.
  324. Ensslin, L., Dezem, V., Dutra, A., Ensslin, S.R. & Somensi, K. 2017, “Seaport-performance tools: an analysis of the international literature”, Maritime Economics and Logistics, , pp. 1-16.
  325. Espino, D.C., Del Hoyo, J.J.G. & Sharp, B.M.H. 2005, “Capacity and capacity utilization of the “voracera” fleet in the strait of gibraltar”, Marine Resource Economics, vol. 20, no. 4, pp. 367-384.
  326. Faed, A., Chang, E., Saberi, M., Hussain, O.K. & Azadeh, A. 2016, “Intelligent customer complaint handling utilising principal component and data envelopment analysis (PDA)”, Applied Soft Computing Journal, vol. 47, pp. 614-630.
  327. Ferrari, C. & Basta, M. 2009, “Port concession fees based on the price-cap regulation: A DEA approach”, Maritime Economics and Logistics, vol. 11, no. 1, pp. 121-135.
  328. Figueiredo De Oliveira, G. & Cariou, P. 2015, “The impact of competition on container port (in)efficiency”, Transportation Research Part A: Policy and Practice, vol. 78, pp. 124-133.
  329. Fu, B.-., Song, X.-. & Guo, Z.-. 2009, “DEA-based malmquist productivity index measure of operating efficiencies: New insights with an application to container ports”, Journal of Shanghai Jiaotong University (Science), vol. 14 E, no. 4, pp. 490-496.
  330. Gan, G.-., Lee, H.-., Chung, C.-. & Chen, S.-. 2017, “Performance evaluation of the security management of Changjiang maritime safety administrations: Application with undesirable outputs in data envelopment analysis”, Journal of Marine Science and Technology (Taiwan), vol. 25, no. 2, pp. 213-219.
  331. Gil-Ropero, A., Cerban, M. & Turias, I.J. 2015, “Analysis of the global and technical efficiencies of major Spanish container ports”, International Journal of Transport Economics, vol. 42, no. 3, pp. 377-407.
  332. Gil-Ropero, A., Turias, I.J. & Cerban, M. 2018, “Efficiency evolution of largest Iberian peninsula container ports: An application of malmquist productivity index”, International Journal of Transport Economics, vol. 45, no. 1, pp. 53-81.
  333. Güner, S. 2017, “Incorporating value judgments into port efficiency measurement models: insights from Turkish ports”, Maritime Economics and Logistics, , pp. 1-18.
  334. Güner, S. 2015, “Investigating infrastructure, superstructure, operating and financial efficiency in the management of Turkish seaports using data envelopment analysis”, Transport Policy, vol. 40, pp. 36-48.
  335. Gurpinar, N. & Balcioglu, H.B. 2018, “Impact of famagusta port efficiency on North Cyprus economic development”, Revista de Cercetare si Interventie Sociala, vol. 60, no. March, pp. 143-156.
  336. Gutiérrez, E., Lozano, S., Adenso-Díaz, B. & González-Torre, P. 2015, “Efficiency assessment of container operations of shipping agents in Spanish ports”, Maritime Policy and Management, vol. 42, no. 6, pp. 591-607.
  337. Haralambides, H. & Gujar, G. 2012, “On balancing supply chain efficiency and environmental impacts: An eco-DEA model applied to the dry port sector of India”, Maritime Economics and Logistics, vol. 14, no. 1, pp. 122-137.
  338. He, D., Gao, P., Sun, Z. & Lau, Y.-. 2017, “Measuring water transport efficiency in the Yangtze River Economic Zone, China”, Sustainability (Switzerland), vol. 9, no. 12.
  339. Humberto Ablanedo-Rosas, J. & Ruiz-Torres, A.J. 2009, “Benchmarking of Mexican ports with data envelopment analysis”, International Journal of Shipping and Transport Logistics, vol. 1, no. 3, pp. 276-294.
  340. Hung, S.-., Lu, W.-. & Wang, T.-. 2010, “Benchmarking the operating efficiency of Asia container ports”, European Journal of Operational Research, vol. 203, no. 3, pp. 706-713.
  341. Itoh, H. 2002, “Efficiency changes at major container ports in Japan: A window application of data envelopment analysis”, Review of Urban and Regional Development Studies, vol. 14, no. 2, pp. 133-152.
  342. Jang, H.M., Park, H. & Kim, S.Y. 2016, “Efficiency analysis of major container ports in Asia: Using DEA and Shannon’s entropy”, International Journal of Supply Chain Management, vol. 5, no. 2, pp. 1-6.
  343. Jiang, B. & Li, J. 2009, “DEA-based performance measurement of seaports in northeast Asia: Radial and non-radial approach”, Asian Journal of Shipping and Logistics, vol. 25, no. 2, pp. 219-236.
  344. Jiang, J.L., Chew, E.P., Lee, L.H. & Sun, Z. 2012, “DEA based on strongly efficient and inefficient frontiers and its application on port efficiency measurement”, OR Spectrum, vol. 34, no. 4, pp. 943-969.
  345. Jiang, Z., Zhu, H. & Cao, Y. 2017, “Efficiency pattern and spatial strategy of ports in Yangtze River Delta Region”, Chinese Geographical Science, vol. 27, no. 2, pp. 298-310.
  346. Ju, S.-. & Liu, N. 2015, “Efficiency and its influencing factors in port enterprises: empirical evidence from Chinese port-listed companies”, Maritime Policy and Management, vol. 42, no. 6, pp. 571-590.
  347. Kamble, S.S., Raoot, A.D. & Khanapuri, V.B. 2010, “Improving port efficiency: A comparative study of selected ports in India”, International Journal of Shipping and Transport Logistics, vol. 2, no. 4, pp. 444-470.
  348. Kang, H.-. & Kim, Y.-. 2017, “Measuring the efficiency of maritime transport companies”, Journal of Distribution Science, vol. 15, no. 11, pp. 59-72.
  349. Kengpol, A., Tuammee, S. & Tuominen, M. 2014, “The development of a framework for route selection in multimodal transportation”, International Journal of Logistics Management, vol. 25, no. 3, pp. 581-610.
  350. Kutin, N., Nguyen, T.T. & Vallée, T. 2017, “Relative Efficiencies of ASEAN Container Ports based on Data Envelopment Analysis”, Asian Journal of Shipping and Logistics, vol. 33, no. 2, pp. 67-77.
  351. Lee, T., Yeo, G.-. & Thai, V.V. 2014, “Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach”, Transport Policy, vol. 33, pp. 82-88.
  352. Leem, B.-. & Chun, H. 2015, “Measuring the influence of efficient ports using social Network Metrics”, International Journal of Engineering Business Management, vol. 7, no. 1, pp. 1-8.
  353. Li, D., Luan, W. & Pian, F. 2013, “The efficiency measurement of coastal container terminals in China”, Journal of Transportation Systems Engineering and Information Technology, vol. 13, no. 5, pp. 10-15.
  354. Li, X., Li, F., Zhao, N. & Zhu, Q. 2018, “Measuring environmental sustainability performance of freight transportation seaports in China: A data envelopment analysis approach based on the closest targets”, Expert Systems, .
  355. Li, X. & Zheng, L. 2010, “Investment efficiency evaluation of china ports based on DEA”, ICIC Express Letters, vol. 4, no. 4, pp. 1195-1201.
  356. Lin, L.C. & Tseng, C.C. 2007, “Operational performance evaluation of major container ports in the Asia-Pacific region”, Maritime Policy and Management, vol. 34, no. 6, pp. 535-551.
  357. Liu, C.-. 2008, “Evaluating the operational efficiency of major ports in the Asia-Pacific region using data envelopment analysis”, Applied Economics, vol. 40, no. 13, pp. 1737-1743.
  358. Liu, Q. & Hoon Lim, S. 2017, “Toxic air pollution and container port efficiency in the USA oa”, Maritime Economics and Logistics, vol. 19, no. 1, pp. 94-105.
  359. Low, J.M.W. 2010, “Capacity investment and efficiency cost estimations in major East Asian ports”, Maritime Economics and Logistics, vol. 12, no. 4, pp. 370-391.
  360. Lozano, S. 2009, “Estimating productivity growth of Spanish ports using a non-radial, non-oriented Malmquist index”, International Journal of Shipping and Transport Logistics, vol. 1, no. 3, pp. 227-248.
  361. Lozano, S. & Villa, G. 2009, “Multiobjective target setting in data envelopment analysis using AHP”, Computers and Operations Research, vol. 36, no. 2, pp. 549-564.
  362. Lozano, S., Villa, G. & Canca, D. 2011, “Application of centralised DEA approach to capital budgeting in Spanish ports”, Computers and Industrial Engineering, vol. 60, no. 3, pp. 455-465.
  363. Lu, B. & Park, N.K. 2013, “Sensitivity analysis for identifying the critical productivity factors of container terminals”, Strojniski Vestnik/Journal of Mechanical Engineering, vol. 59, no. 9, pp. 536-546.
  364. Lu, B., Park, N.K. & Huo, Y. 2015, “The evaluation of operational efficiency of the world’s leading container seaports”, Journal of Coastal Research, , pp. 248-254.
  365. Lu, B. & Wang, X.L. 2012, “Comparative studies on efficiency evaluation of chinese and Korean major container terminals”, Advances in Information Sciences and Service Sciences, vol. 4, no. 23, pp. 434-442.
  366. Luna, J.H., Mar-Ortiz, J., Gracia, M.D. & Morales-Ramírez, D. 2018, “An efficiency analysis of cargo-handling operations at container terminals”, Maritime Economics and Logistics, vol. 20, no. 2, pp. 190-210.
  367. Markovits-Somogyi, R. 2011, “Measuring efficiency in transport: The state of the art of applying Data Envelopment Analysis”, Transport, vol. 26, no. 1, pp. 11-19.
  368. Martinez-Budria, E., Diaz-Armas, R., Navarro-Ibanez, M. & Ravelo-Mesa, T. 1999, “A study of the efficiency of Spanish Port Authorities using Data Envelopment Analysis”, International Journal of Transport Economics, vol. 26, no. 2, pp. 237-253.
  369. Medal, A. & Sala, R. 2011, “An efficiency ranking of Spanish seaports using FDH methodology”, International Journal of Transport Economics, vol. 38, no. 2, pp. 201-226.
  370. Medal-Bartual, A., Molinos-Senante, M. & Sala-Garrido, R. 2016, “Assessment of the total factor productivity change in the Spanish ports: Hicks-Moorsteen productivity index approach”, Journal of Waterway, Port, Coastal and Ocean Engineering, vol. 142, no. 1.
  371. Medal-Bartual, A., Molinos-Senante, M. & Sala-Garrido, R. 2012, “Benchmarking in Spanish seaports: A tool for Specialization”, International Journal of Transport Economics, vol. 39, no. 3, pp. 329-348.
  372. Merkel, A. & Holmgren, J. 2017, “Dredging the depths of knowledge: Efficiency analysis in the maritime port sector”, Transport Policy, vol. 60, pp. 63-74.
  373. Min, H. & Park, B.-. 2005, “Evaluating the inter-temporal efficiency trends of international container terminals using data envelopment analysis”, International Journal of Integrated Supply Management, vol. 1, no. 3, pp. 258-277.
  374. Monteiro, J.G.R. 2010, “Measuring productivity and efficiency of major ports of India”, Economic and Political Weekly, vol. 45, no. 26-27, pp. 325-331.
  375. Mousavizadeh, R. & Khalili-Damghani, K. 2017, “Cooperative mechanism based on data envelopment analysis and artificial neural network to measure efficiency: Case study of Iranian ports”, International Journal of Applied Decision Sciences, vol. 10, no. 1, pp. 52-68.
  376. Ng, A.S.-., Lim, A.L.C., Leong, C.H. & Cheng, C.H. 2010, “A competitiveness measurement framework for regional container hub ports: A case study in East Asia”, International Journal of Logistics Systems and Management, vol. 7, no. 3, pp. 368-392.
  377. Nguyen, H.-., Nghiem, H.-. & Chang, Y.-. 2018, “A regional perspective of port performance using metafrontier analysis: The case study of Vietnamese ports”, Maritime Economics and Logistics, vol. 20, no. 1, pp. 112-130.
  378. Nguyen, H.-., Nguyen, H.-., Chang, Y.-., Chin, A.T.H. & Tongzon, J. 2016, “Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports”, Maritime Policy and Management, vol. 43, no. 5, pp. 644-659.
  379. Nguyen, N.-. & Tran, T.-. 2018, “Raising opportunities in strategic alliance by evaluating efficiency of logistics companies in Vietnam: a case of Cat Lai Port”, Neural Computing and Applications, .
  380. Niavis, S. & Tsekeris, T. 2012, “Ranking and causes of inefficiency of container seaports in South-Eastern Europe”, European Transport Research Review, vol. 4, no. 4, pp. 235-244.
  381. Odeck, J. & Bråthen, S. 2012, “A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models”, Transportation Research Part A: Policy and Practice, vol. 46, no. 10, pp. 1574-1585.
  382. Panayides, P.M., Maxoulis, C.N., Wang, T.-. & Ng, K.Y.A. 2009, “A critical analysis of DEA applications to seaport economic efficiency measurement”, Transport Reviews, vol. 29, no. 2, pp. 183-206.
  383. Pantouvakis, A. & Dimas, A. 2010, “Does ISO 9000 series certification matter for the financial performance of ports? Some preliminary findings from Europe”, Maritime Policy and Management, vol. 37, no. 5, pp. 505-522.
  384. Park, J., Lim, S. & Bae, H. 2012, “DEA-based port efficiency improvement and stepwise benchmarking target selection”, Information (Japan), vol. 15, no. 12 C, pp. 6155-6171.
  385. Park, J. & Sung, S.-. 2016, “Integrated approach to construction of benchmarking network in DEA-based stepwise benchmark target selection”, Sustainability (Switzerland), vol. 8, no. 7, pp. 1-15.
  386. Park, R.-. & De Prabir, P. 2004, “An alternative approach to efficiency measurement of seaports”, Maritime Economics and Logistics, vol. 6, no. 1, pp. 53-69.
  387. Paul, J.A. & MacDonald, L. 2017, “An empirical analysis of US vessel-related port accidents (2002-2012): Impact of union membership and port efficiency on accident incidence and economic damage oa”, Maritime Economics and Logistics, vol. 19, no. 4, pp. 723-748.
  388. Pestana Barros, C. 2012, “Productivity Assessment of African Seaports”, African Development Review, vol. 24, no. 1, pp. 67-78.
  389. Pjevcevic, D., Nikolic, M., Vidic, N. & Vukadinovic, K. 2017, “Data envelopment analysis of AGV fleet sizing at a port container terminal”, International Journal of Production Research, vol. 55, no. 14, pp. 4021-4034.
  390. Pjevčević, D., Radonjić, A., Hrle, Z. & Čolić, V. 2012, “Dea window analysis for measuring port efficiencies in Serbia”, Promet – Traffic – Traffico, vol. 24, no. 1, pp. 63-72.
  391. Quaresma Dias, J.C., Garrido Azevedo, S., Ferreira, J. & Palma, S.F. 2009, “A comparative benchmarking analysis of main Iberian container terminals: a DEA approach”, International Journal of Shipping and Transport Logistics, vol. 1, no. 3, pp. 260-275.
  392. Radonjić, A., Pjevčević, D., Hrle, Z. & Čolić, V. 2011, “Application of DEA method to intermodal container transport”, Transport, vol. 26, no. 3, pp. 233-239.
  393. Rios, L.R. & Maçada, A.C.G. 2006, “Analysing the relative efficiency of container terminals of mercosur using DEA”, Maritime Economics and Logistics, vol. 8, no. 4, pp. 331-346.
  394. Roll, Y. & Hayuth, Y. 1993, “Port performance comparison applying data envelopment analysis (DEA)”, Maritime Policy and Management, vol. 20, no. 2, pp. 153-161.
  395. Russo, F. & Rindone, C. 2011, “Container maritime transport on an international scale: Data envelopment analysis for transhipment port”, WIT Transactions on Ecology and the Environment, vol. 150, pp. 831-846.
  396. Sabri, H.T., Ha, M.-. & Kim, G.-. 2013, “Measuring “energy use efficiency”of container terminals”, Journal of Korea Trade, vol. 17, no. 4, pp. 53-70.
  397. Schøyen, H., Bjorbæk, C.T., Steger-Jensen, K., Bouhmala, N., Burki, U., Jensen, T.E. & Berg, Ø. 2018, “Measuring the contribution of logistics service delivery performance outcomes and deep-sea container liner connectivity on port efficiency”, Research in Transportation Business and Management, .
  398. Schøyen, H. & Odeck, J. 2017, “Comparing the productivity of Norwegian and some Nordic and UK container ports – An application of Malmquist productivity index”, International Journal of Shipping and Transport Logistics, vol. 9, no. 2, pp. 234-256.
  399. Schøyen, H. & Odeck, J. 2013, “The technical efficiency of Norwegian container ports: A comparison to some Nordic and UK container ports using Data Envelopment Analysis (DEA)”, Maritime Economics and Logistics, vol. 15, no. 2, pp. 197-221.
  400. Sharma, M.J. & Yu, S.J. 2010, “Benchmark optimization and attribute identification for improvement of container terminals”, European Journal of Operational Research, vol. 201, no. 2, pp. 568-580.
  401. Sharma, M.J. & Yu, S.J. 2009, “Performance based stratification and clustering for benchmarking of container terminals”, Expert Systems with Applications, vol. 36, no. 3 PART 1, pp. 5016-5022.
  402. Simões, P. & Marques, R.C. 2010, “Influence of congestion efficiency on the european seaports performance: Does it matter?”, Transport Reviews, vol. 30, no. 4, pp. 517-539.
  403. Simões, P. & Marques, R.C. 2010, “Seaport performance analysis using robust non-parametric efficiency estimators”, Transportation Planning and Technology, vol. 33, no. 5, pp. 435-451.
  404. Sislioglu, M., Celik, M. & Ozkaynak, S. 2018, “A simulation model proposal to improve the productivity of container terminal operations through investment alternatives”, Maritime Policy and Management, , pp. 1-22.
  405. Suárez-Alemán, A., Trujillo, L. & Cullinane, K.P.B. 2014, “Time at ports in short sea shipping: When timing is crucial”, Maritime Economics and Logistics, vol. 16, no. 4, pp. 399-417.
  406. Sun, J., Yuan, Y., Yang, R., Ji, X. & Wu, J. 2017, “Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis”, Transport Policy, vol. 60, pp. 75-86.
  407. Taliani, E.C., Escobar, S.G. & Silva Da Rosa, F. 2017, “Environmental disclosure and economic efficiency: A correlational evaluation of Spanish ports authorities”, Intangible Capital, vol. 13, no. 4, pp. 745-780.
  408. Tetteh, E.A., Yang, H. & Gomina Mama, F. 2016, “Container ports throughput analysis: A comparative evaluation of China and five west african countries seaports efficiencies”, International Journal of Engineering Research in Africa, vol. 22, pp. 162-173.
  409. Tongzon, J. 2001, “Efficiency measurement of selected Australian and other international ports using data envelopment analysis”, Transportation Research Part A: Policy and Practice, vol. 35, no. 2, pp. 107-122.
  410. Tovar, B. & Wall, A. 2017, “Specialisation, diversification, size and technical efficiency in ports: An empirical analysis using frontier techniques”, European Journal of Transport and Infrastructure Research, vol. 17, no. 2, pp. 279-303.
  411. Turner, H., Windle, R. & Dresner, M. 2004, “North American containerport productivity: 1984-1997”, Transportation Research Part E: Logistics and Transportation Review, vol. 40, no. 4, pp. 339-356.
  412. Vázquez-Rowe, I. & Tyedmers, P. 2013, “Identifying the importance of the “skipper effect” within sources of measured inefficiency in fisheries through data envelopment analysis (DEA)”, Marine Policy, vol. 38, pp. 387-396.
  413. Venkatasubbaiah, K., Rao, K.N., Rao, M.M. & Challa, S. 2018, “Performance Evaluation and Modelling of Container Terminals”, Journal of The Institution of Engineers (India): Series C, vol. 99, no. 1, pp. 87-96.
  414. Wang, T.F. & Cullinane, K. 2006, “The efficiency of European container terminals and implications for supply chain management”, Maritime Economics and Logistics, vol. 8, no. 1, pp. 82-99.
  415. Wang, Y.-. & Han, T.-. 2018, “Efficiency measurement for international container ports of Taiwan and surrounding areas by fuzzy data envelopment analysis”, Journal of Marine Science and Technology (Taiwan), vol. 26, no. 2, pp. 185-193.
  416. Wanke, P. & Barros, C.P. 2016, “New evidence on the determinants of efficiency at Brazilian ports: A bootstrapped DEA analysis”, International Journal of Shipping and Transport Logistics, vol. 8, no. 3, pp. 250-272.
  417. Wanke, P., Chen, Z., Moreira Antunes, J.J. & Barros, C. 2018, “Malmquist productivity indexes in Chinese ports: A fuzzy GMSS DEA approach”, International Journal of Shipping and Transport Logistics, vol. 10, no. 2, pp. 202-236.
  418. Wanke, P., Nwaogbe, O.R. & Chen, Z. 2018, “Efficiency in Nigerian ports: handling imprecise data with a two-stage fuzzy approach”, Maritime Policy and Management, vol. 45, no. 5, pp. 699-715.
  419. Wanke, P.F. 2013, “Physical infrastructure and shipment consolidation efficiency drivers in Brazilian ports: A two-stage network-DEA approach”, Transport Policy, vol. 29, pp. 145-153.
  420. Wanke, P.F., Barbastefano, R.G. & Hijjar, M.F. 2011, “Determinants of efficiency at major Brazilian port terminals”, Transport Reviews, vol. 31, no. 5, pp. 653-677.
  421. Wanke, P.F. & Barros, C.P. 2015, “Public-private partnerships and scale efficiency in Brazilian ports: Evidence from two-stage DEA analysis”, Socio-economic planning sciences, vol. 51, pp. 13-22.
  422. Wiegmans, B. & Dekker, S. 2016, “Benchmarking deep-sea port performance in the Hamburg-Le Havre range”, Benchmarking, vol. 23, no. 1, pp. 96-112.
  423. Wiegmans, B. & Witte, P. 2017, “Efficiency of inland waterway container terminals: Stochastic frontier and data envelopment analysis to analyze the capacity design- and throughput efficiency”, Transportation Research Part A: Policy and Practice, vol. 106, pp. 12-21.
  424. Wilmsmeier, G., Tovar, B. & Sanchez, R.J. 2013, “The evolution of container terminal productivity and efficiency under changing economic environments”, Research in Transportation Business and Management, vol. 8, pp. 50-66.
  425. Wu, H., Wu, J., Liang, L. & Li, Y. 2012, “Efficiency assessment of Chinese logistics firms using DEA”, International Journal of Shipping and Transport Logistics, vol. 4, no. 3, pp. 212-234.
  426. Wu, J. & Liang, L. 2009, “Performances and benchmarks of container ports using data envelopment analysis”, International Journal of Shipping and Transport Logistics, vol. 1, no. 3, pp. 295-310.
  427. Wu, J., Liang, L. & Song, M. 2010, “Performance based clustering for benchmarking of container ports: An application of dea and cluster analysis technique”, International Journal of Computational Intelligence Systems, vol. 3, no. 6, pp. 709-722.
  428. Wu, J., Yan, H. & Liu, J. 2010, “DEA models for identifying sensitive performance measures in container port evaluation”, Maritime Economics and Logistics, vol. 12, no. 3, pp. 215-236.
  429. Wu, Y.C.J. & Goh, M. 2010, “Container port efficiency in emerging and more advanced markets”, Transportation Research Part E: Logistics and Transportation Review, vol. 46, no. 6, pp. 1030-1042.
  430. Wu, Y.-.J. & Lin, C.-. 2008, “National port competitiveness: Implications for India”, Management Decision, vol. 46, no. 10, pp. 1482-1507.
  431. Yang, C.-. 2013, “A dea-based approach for evaluating the opportunity cost of environmental regulations”, Asia-Pacific Journal of Operational Research, vol. 30, no. 2.
  432. Yang, C.-. 2012, “Productivity changes in Taiwan’s port industry incorporating environmental regulations on harbor water quality”, Transportation Planning and Technology, vol. 35, no. 8, pp. 769-789.
  433. Yu, Y.-. 2017, “Evaluation of development efficiency of Ningbo port logistics and its synergy with urban economy”, Journal of Discrete Mathematical Sciences and Cryptography, vol. 20, no. 6-7, pp. 1369-1373.
  434. Yuen, A.C.-., Zhang, A. & Cheung, W. 2013, “Foreign participation and competition: A way to improve the container port efficiency in China?”, Transportation Research Part A: Policy and Practice, vol. 49, pp. 220-231.
  435. Zahran, S.Z., Alam, J.B., Al-Zahrani, A.H., Smirlis, Y., Papadimitriou, S. & Tsioumas, V. 2017, “Analysis of port authority efficiency using data envelopment analysis oa”, Maritime Economics and Logistics, vol. 19, no. 3, pp. 518-537.
  436. Zahran, S.Z., Alam, J.B., Al-Zahrani, A.H., Smirlis, Y., Papadimitriou, S. & Tsioumas, V. 2017, “Analysis of port efficiency using imprecise and incomplete data”, Operational Research, , pp. 1-28.
  437. Zheng, X.B. & Park, N.K. 2016, “A Study on the Efficiency of Container Terminals in Korea and China”, Asian Journal of Shipping and Logistics, vol. 32, no. 4, pp. 213-220.
  438. Zhou, G., Chung, W. & Zhang, Y. 2014, “Measuring energy efficiency performance of China’s transport sector: A data envelopment analysis approach”, Expert Systems with Applications, vol. 41, no. 2, pp. 709-722.
  439. Zhou, G., Min, H., xu, C. & Cao, Z. 2008, “Evaluating the comparative efficiency of Chinese third-party logistics providers using data envelopment analysis”, International Journal of Physical Distribution & Logistics Management, vol. 38, no. 4, pp. 262-279.

  DEA publications: railway transportation system

   

  440. Abate, M., Lijesen, M., Pels, E. & Roelevelt, A. 2013, “The impact of reliability on the productivity of railroad companies”, Transportation Research Part E: Logistics and Transportation Review, vol. 51, no. 1, pp. 41-49.
  441. Azadeh, A., Ghaderi, S.F. & Izadbakhsh, H. 2008, “Integration of DEA and AHP with computer simulation for railway system improvement and optimization”, Applied Mathematics and Computation, vol. 195, no. 2, pp. 775-785.
  442. Azadeh, A., Salehi, V. & Kianpour, M. 2018, “Performance evaluation of rail transportation systems by considering resilience engineering factors: Tehran railway electrification system”, Transportation Letters, vol. 10, no. 1, pp. 12-25.
  443. Baležentis, A. & Baležentis, T. 2011, “Assessing the efficiency of Lithuanian transport sector by applying the methods of multimoora and data envelopment analysis”, Transport, vol. 26, no. 3, pp. 263-270.
  444. Bhanot, N. & Singh, H. 2014, “Benchmarking the performance indicators of Indian Railway container business using data envelopment analysis”, Benchmarking, vol. 21, no. 1, pp. 101-120.
  445. Bian, Y., Hu, M. & Xu, H. 2015, “Measuring efficiencies of parallel systems with shared inputs/outputs using data envelopment analysis”, Kybernetes, vol. 44, no. 3, pp. 336-352.
  446. Cavone, G., Dotoli, M., Epicoco, N. & Seatzu, C. 2017, “A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis”, Applied Mathematical Modelling, vol. 52, pp. 255-273.
  447. Chapin, A. & Schmidt, S. 1999, “Do mergers improve efficiency? Evidence from deregulated rail freight”, Journal of Transport Economics and Policy, vol. 33, no. 2, pp. 147-162.
  448. Chen, C.C. 2014, “The operation of new transportation infrastructure and regional economic efficiency: A case study of taiwan high speed rail on regions in western Taiwan”, Regional and Sectoral Economic Studies, vol. 14, no. 1, pp. 179-194.
  449. Coelli, T. & Perelman, S. 1999, “Comparison of parametric and non-parametric distance functions: With application to European railways”, European Journal of Operational Research, vol. 117, no. 2, pp. 326-339.
  450. Cowie, J. 1999, “The technical efficiency of public and private ownership in the rail industry: The case of Swiss private railways”, Journal of Transport Economics and Policy, vol. 33, no. 3, pp. 241-252.
  451. Cowie, J. & Riddington, G. 1996, “Measuring the efficiency of European railways”, Applied Economics, vol. 28, no. 8, pp. 1027-1035.
  452. Cullinane, K., Bergqvist, R., Cullinane, S., Zhu, S. & Wang, L. 2017, “Improving the quality of Sweden’s rail freight rolling stock: The use of date envelopment analysis in benchmarking and pricing”, Benchmarking, vol. 24, no. 6, pp. 1552-1570.
  453. Djordjević, B., Krmac, E. & Mlinarić, T.J. 2018, “Non-radial DEA model: A new approach to evaluation of safety at railway level crossings”, Safety Science, vol. 103, pp. 234-246.
  454. Eguchi, S. 2017, “Understanding productivity declines of resource accumulation in the prefectures of Japan”, Environmental Economics and Policy Studies, vol. 19, no. 2, pp. 337-357.
  455. George, S.A. & Rangaraj, N. 2008, “A performance benchmarking study of Indian Railway zones”, Benchmarking, vol. 15, no. 5, pp. 599-617.
  456. Graham, D.J. 2008, “Productivity and efficiency in urban railways: Parametric and non-parametric estimates”, Transportation Research Part E: Logistics and Transportation Review, vol. 44, no. 1, pp. 84-99.
  457. Growitsch, C. & Wetzel, H. 2009, “Testing for economies of scope in European railways”, Journal of Transport Economics and Policy, vol. 43, no. 1, pp. 1-24.
  458. Guo, J., Nakamura, F., Li, Q. & Zhou, Y. 2018, “Efficiency Assessment of Transit-Oriented Development by Data Envelopment Analysis: Case Study on the Den-en Toshi Line in Japan”, Journal of Advanced Transportation, vol. 2018.
  459. Hilmola, O. 2007, “European railway freight transportation and adaptation to demand decline: Efficiency and partial productivity analysis from period of 1980-2003”, International Journal of Productivity and Performance Management, vol. 56, no. 3, pp. 205-225.
  460. Hilmola, O.-. 2011, “Role of location in railway sector efficiency”, International Journal of Logistics Systems and Management, vol. 10, no. 4, pp. 478-494.
  461. Hilmola, O.-. 2010, “Analysing global railway passenger transport through two-staged efficiency model”, International Journal of Information and Decision Sciences, vol. 2, no. 3, pp. 273-284.
  462. Hilmola, O.-. 2010, “Revenue vs. technical efficiency in railways”, International Journal of Value Chain Management, vol. 4, no. 4, pp. 305-318.
  463. Hilmola, O.-. 2009, “Benchmarking global railway freight transportation efficiency during the period of 1980-2004”, International Journal of Shipping and Transport Logistics, vol. 1, no. 4, pp. 311-328.
  464. Hilmola, O.-. 2008, “Railway efficiency analysis from larger Europe during the period 1994-2003”, International Journal of Operational Research, vol. 3, no. 3, pp. 255-280.
  465. Hilmola, O.-., Lorentz, H. & Rhoades, D.L. 2015, “New environmental demands and the future of the Helsinki-Tallinn freight route”, Maritime Economics and Logistics, vol. 17, no. 2, pp. 198-220.
  466. Hsiao, B., Shu, L.C., Yu, M.-., Shen, L.-. & Wang, D.-. 2017, “Performance evaluation of the Taiwan railway administration”, Annals of Operations Research, vol. 259, no. 1-2, pp. 119-156.
  467. Jafarian-Moghaddam, A.R. & Ghoseiri, K. 2012, “Multi-objective data envelopment analysis model in fuzzy dynamic environment with missing values”, International Journal of Advanced Manufacturing Technology, vol. 61, no. 5-8, pp. 771-785.
  468. Jafarian-Moghaddam, A.R. & Ghoseiri, K. 2011, “Fuzzy dynamic multi-objective Data Envelopment Analysis model”, Expert Systems with Applications, vol. 38, no. 1, pp. 850-855.
  469. Jain, P., Cullinane, S. & Cullinane, K. 2008, “The impact of governance development models on urban rail efficiency”, Transportation Research Part A: Policy and Practice, vol. 42, no. 9, pp. 1238-1250.
  470. Jitsuzumi, T. & Nakamura, A. 2010, “Causes of inefficiency in Japanese railways: Application of DEA for managers and policymakers”, Socio-economic planning sciences, vol. 44, no. 3, pp. 161-173.
  471. Kabasakal, A., Kutlar, A. & Sarikaya, M. 2013, “Efficiency determinations of the worldwide railway companies via DEA and contributions of the outputs to the efficiency and TFP by panel regression”, Central European Journal of Operations Research, vol. 23, no. 1, pp. 69-88.
  472. Khadem Sameni, M., Preston, J. & Khadem Sameni, M. 2016, “Evaluating efficiency of passenger railway stations: A DEA approach”, Research in Transportation Business and Management, vol. 20, pp. 33-38.
  473. Kim, H.-., Choi, C.-., Woo, J.-., Choi, Y., Kim, K. & Wu, D.D. 2011, “Efficiency of the modal shift and environmental policy on the Korean railroad”, Stochastic Environmental Research and Risk Assessment, vol. 25, no. 3, pp. 305-322.
  474. Kleinová, E. 2016, “Does liberalization of the railway industry lead to higher technical effectiveness?”, Journal of Rail Transport Planning and Management, vol. 6, no. 1, pp. 67-76.
  475. Krmac, E. & Djordjević, B. 2018, “Evaluation of the levels of safety at railway level crossings using data envelopment analysis (DEA) method: A case study on slovenian railways”, European Transport – Trasporti Europei, , no. 67.
  476. Kuang, X. 2018, “Evaluation of railway transportation efficiency based on super-cross efficiency”, IOP Conference Series: Earth and Environmental Science.
  477. Kutlar, A., Kabasakal, A. & Sarikaya, M. 2013, “Determination of the efficiency of the world railway companies by method of DEA and comparison of their efficiency by Tobit analysis”, Quality and Quantity, vol. 47, no. 6, pp. 3575-3602.
  478. Lan, L.W. & Lin, E.T.J. 2005, “Measuring railway performance with adjustment of environmental effects, data noise and slacks”, Transportmetrica, vol. 1, no. 2, pp. 161-189.
  479. Li, Y., Li, X. & Khalid, M.A. 2018, “Measuring technical efficiency of Chinese railway administrations by DEA method”, Journal of Interdisciplinary Mathematics, vol. 21, no. 4, pp. 825-836.
  480. Lin, E. 2016, “Measuring firms’ input congestion with consideration of environmental factors: The case of European railway transport”, Acta Oeconomica, vol. 66, no. 1, pp. 153-171.
  481. Liu, H., Zhang, Y., Zhu, Q. & Chu, J. 2017, “Environmental efficiency of land transportation in China: A parallel slack-based measure for regional and temporal analysis”, Journal of Cleaner Production, vol. 142, pp. 867-876.
  482. Liu, Z., Qin, C.-. & Zhang, Y.-. 2016, “The energy-environment efficiency of road and railway sectors in China: Evidence from the provincial level”, Ecological Indicators, vol. 69, pp. 559-570.
  483. Mapapa, A.M. 2004, “Management of railways in Sub-Saharan Africa”, Rail International, vol. 35, no. OCT./DEC., pp. P13-P21.
  484. Marchetti, D. & Wanke, P. 2017, “Brazil’s rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies”, Socio-economic planning sciences, vol. 59, pp. 26-42.
  485. Markovits-Somogyi, R. 2011, “Measuring efficiency in transport: The state of the art of applying Data Envelopment Analysis”, Transport, vol. 26, no. 1, pp. 11-19.
  486. Martín, J.C. & Reggiani, A. 2007, “Recent methodological developments to measure spatial interaction: Synthetic accessibility indices applied to high-speed train investments”, Transport Reviews, vol. 27, no. 5, pp. 551-571.
  487. Merkert, R., Smith, A.S.J. & Nash, C.A. 2010, “Benchmarking of train operating firms – A transaction cost efficiency analysis”, Transportation Planning and Technology, vol. 33, no. 1, pp. 35-53.
  488. Moesen, W.A. 1994, “The need for performance auditing in the public sector and the best-practice frontier”, European Journal of Law and Economics, vol. 1, no. 4, pp. 263-274.
  489. Mohajeri, N. & Amin, G.R. 2010, “Railway station site selection using analytical hierarchy process and data envelopment analysis”, Computers and Industrial Engineering, vol. 59, no. 1, pp. 107-114.
  490. Noroozzadeh, A. & Sadjadi, S.J. 2013, “A new approach to evaluate railways efficiency considering safety measures”, Decision Science Letters, vol. 2, no. 2, pp. 71-80.
  491. Rayeni, M.M. & Saljooghi, F.H. 2014, “Ranking and measuring efficiency using secondary goals of cross-efficiency evaluation – A study of railway efficiency in Iran”, International Journal of Services and Operations Management, vol. 17, no. 1, pp. 1-16.
  492. Roets, B. & Christiaens, J. 2015, “Evaluation of railway traffic control efficiency and its determinants”, European Journal of Transport and Infrastructure Research, vol. 15, no. 4, pp. 396-418.
  493. Roets, B., Verschelde, M. & Christiaens, J. 2018, “Multi-output efficiency and operational safety: An analysis of railway traffic control centre performance”, European Journal of Operational Research, vol. 271, no. 1, pp. 224-237.
  494. Rotoli, F., Navajas Cawood, E. & Christidis, P. 2015, “A Data Envelopment Analysis approach for accessibility measures: Simulating operational enhancement scenarios for railway across Europe”, European Transport Research Review, vol. 7, no. 2.
  495. Rotoli, F., Valeri, E., Ricci, S., Rizzetto, L. & Malavasi, G. 2018, “An analysis of the railway access charges regime in the Italian context”, Transport Policy, vol. 64, pp. 20-28.
  496. Salerian, J. & Chan, C. 2005, “Restricting multiple-output multiple-input DEA models by disaggregating the output-input vector”, Journal of Productivity Analysis, vol. 24, no. 1, pp. 5-29.
  497. Samà, M., Meloni, C., D’Ariano, A. & Corman, F. 2015, “A multi-criteria decision support methodology for real-time train scheduling”, Journal of Rail Transport Planning and Management, vol. 5, no. 3, pp. 146-162.
  498. Sameni, M.K. & Preston, J.M. 2012, Value for railway capacity.
  499. Savolainen, V.-. & Hilmola, O.-. 2009, “The relative technical efficiency of European transportation systems concerning air transport and railways”, International Journal of Business Performance Management, vol. 11, no. 1-2, pp. 19-42.
  500. Sharma, M.G., Debnath, R.M., Oloruntoba, R. & Sharma, S.M. 2016, “Benchmarking of rail transport service performance through DEA for Indian railways”, International Journal of Logistics Management, vol. 27, no. 3, pp. 629-649.
  501. Shi, F.X., Lim, S.H. & Chi, J. 2011, “Railroad productivity analysis: Case of the American Class I railroads”, International Journal of Productivity and Performance Management, vol. 60, no. 4, pp. 372-386.
  502. Sozen, A., Alp, I. & Kurt, B. 2012, “Total factor efficiency of Turkish state railways”, Energy Education Science and Technology Part A: Energy Science and Research, vol. 29, no. 1, pp. 663-678.
  503. Sozen, A. & Cipil, F. 2018, “Efficiency analysis of Turkey’s transportation system using decision support model: Data envelopment method” in Intelligent Transportation and Planning: Breakthroughs in Research and Practice, pp. 480-509.
  504. Tahir, N. 2013, “Efficiency analysis of Pakistan Railway in comparison with China and India”, International Journal of Transport Economics, vol. 40, no. 1, pp. 71-98.
  505. Tavassoli, M., Faramarzi, G.R. & Saen, R.F. 2015, “A joint measurement of efficiency and effectiveness using network data envelopment analysis approach in the presence of shared input”, OPSEARCH, vol. 52, no. 3, pp. 490-504.
  506. Vasco Correa, C.A. 2012, “Economic evaluation of current conditions of competition and efficiency of automotive and rail systems in Colombia”, Energy Policy, vol. 46, pp. 78-87.
  507. Wanke, P., Chen, Z., Liu, W., Antunes, J.J.M. & Azad, M.A.K. 2018, “Investigating the drivers of railway performance: Evidence from selected Asian countries”, Habitat International, vol. 80, pp. 49-69.
  508. Wanke, P. & Kalam Azad, M.A. 2018, “Efficiency in Asian railways: a comparison between data envelopment analysis approaches”, Transportation Planning and Technology, vol. 41, no. 6, pp. 573-599.
  509. Xiang, H., Li, Y., Chen, B. & Liao, H. 2014, “Protection effect of railway wind barrier on running safety of train under cross winds”, Advances in Structural Engineering, vol. 17, no. 8, pp. 1177-1187.
  510. Yu, M.-. 2008, “Assessing the technical efficiency, service effectiveness, and technical effectiveness of the world’s railways through NDEA analysis”, Transportation Research Part A: Policy and Practice, vol. 42, no. 10, pp. 1283-1294.
  511. Yu, M.-. & Lin, E.T.J. 2008, “Efficiency and effectiveness in railway performance using a multi-activity network DEA model”, Omega, vol. 36, no. 6, pp. 1005-1017.
  512. Zhou, H. & Hu, H. 2017, “Sustainability evaluation of railways in China using a two-stage network DEA model with undesirable outputs and shared resources”, Sustainability (Switzerland), vol. 9, no. 1.

  DEA publications: sustainability development and green issues in transportation

  513. Azadi, M., Mirhedayatian, S.M., Saen, R.F., Hatamzad, M. & Momeni, E. 2017, “Green supplier selection: A novel fuzzy double frontier data envelopment analysis model to deal with undesirable outputs and dual-role factors”, International Journal of Industrial and Systems Engineering, vol. 25, no. 2, pp. 160-181.
  514. Azadi, M., Shabani, A., Khodakarami, M. & Farzipoor Saen, R. 2014, “Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers”, Transportation Research Part E: Logistics and Transportation Review, vol. 70, no. 1, pp. 324-338.
  515. Baležentis, T., Li, T., Streimikiene, D. & Baležentis, A. 2016, “Is the Lithuanian economy approaching the goals of sustainable energy and climate change mitigation? Evidence from DEA-based environmental performance index”, Journal of Cleaner Production, vol. 116, pp. 23-31.
  516. Barnum, D.T., Gleason, J.M. & Hemily, B. 2008, “Using panel data analysis to estimate DEA confidence intervals adjusted for the environment”, Journal of Transportation Engineering, vol. 134, no. 5, pp. 215-223.
  517. Barnum, D.T., Tandon, S. & McNeil, S. 2008, “Comparing the performance of bus routes after adjusting for the environment using data envelopment analysis”, Journal of Transportation Engineering, vol. 134, no. 2, pp. 77-85.
  518. Beltrán-Esteve, M. & Picazo-Tadeo, A.J. 2015, “Assessing environmental performance trends in the transport industry: Eco-innovation or catching-up?”, Energy Economics, vol. 51, pp. 570-580.
  519. Bi, G., Wang, P., Yang, F. & Liang, L. 2014, “Energy and environmental efficiency of china’s transportation sector: A multidirectional analysis approach”, Mathematical Problems in Engineering, vol. 2014.
  520. Carlucci, F., Cirà, A. & Coccorese, P. 2018, “Measuring and explaining airport efficiency and sustainability: Evidence from Italy”, Sustainability (Switzerland), vol. 10, no. 2.
  521. Chan, P.S. & Sueyoshi, T. 1991, “Environmental change, competition, strategy, structure and firm performance: An application of data envelopment analysis in the airline industry”, International Journal of Systems Science, vol. 22, no. 9, pp. 1625-1636.
  522. Chang, Y.-., Yu, M.-. & Chen, P.-. 2013, “Evaluating the performance of Chinese airports”, Journal of Air Transport Management, vol. 31, pp. 19-21.
  523. Chang, Y.-., Park, H.K., Lee, S. & Kim, E. 2018, “Have Emission Control Areas (ECAs) harmed port efficiency in Europe?”, Transportation Research Part D: Transport and Environment, vol. 58, pp. 39-53.
  524. Chang, Y.-., Park, H.-., Jeong, J.-. & Lee, J.-. 2014, “Evaluating economic and environmental efficiency of global airlines: A SBM-DEA approach”, Transportation Research Part D: Transport and Environment, vol. 27, pp. 46-50.
  525. Chang, Y.-. & Zhang, N. 2017, “Environmental efficiency of transportation sectors in China and Korea oa”, Maritime Economics and Logistics, vol. 19, no. 1, pp. 68-93.
  526. Chang, Y.-., Zhang, N., Danao, D. & Zhang, N. 2013, “Environmental efficiency analysis of transportation system in China: A non-radial DEA approach”, Energy Policy, vol. 58, pp. 277-283.
  527. Chen, C., Achtari, G., Majkut, K. & Sheu, J.-. 2017, “Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: A case of Quinte West”, Transportation Research Part A: Policy and Practice, vol. 95, pp. 148-165.
  528. Chen, C. & Lam, J.S.L. 2018, “Sustainability and interactivity between cities and ports: a two-stage data envelopment analysis (DEA) approach”, Maritime Policy and Management, vol. 45, no. 7, pp. 944-961.
  529. Chen, L., He, F. & Wang, J. 2018, “Allocative efficiency of carbon emission allowances among sectors in China”, Polish Journal of Environmental Studies, vol. 27, no. 2, pp. 557-564.
  530. Chen, X., Gao, Y., An, Q., Wang, Z. & Neralić, L. 2018, “Energy efficiency measurement of Chinese Yangtze River Delta’s cities transportation: a DEA window analysis approach”, Energy Efficiency, pp. 1-13.
  531. Chen, Z., Wanke, P., Antunes, J.J.M. & Zhang, N. 2017, “Chinese airline efficiency under CO2emissions and flight delays: A stochastic network DEA model”, Energy Economics, vol. 68, pp. 89-108.
  532. Cheong, J.P., Kim, C. & Chang, J.-. 2011, “Evaluation of Green House Gases (GHGs) reduction plan in combination with air pollutants reduction in Busan Metropolitan City in Korea”, Asian Journal of Atmospheric Environment, vol. 5, no. 4, pp. 228-236.
  533. Chu, J.-., Wu, J. & Song, M.-. 2018, “An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: a transportation system application”, Annals of Operations Research, vol. 270, no. 1-2, pp. 105-124.
  534. Çipil, F. 2014, “Performance analysis of Turkey’s transport sector greenhouse gas emissions”, Energy and Environment, vol. 25, no. 2, pp. 357-368.
  535. Cui, Q., Li, Y. & Lin, J.-. 2018, “Pollution abatement costs change decomposition for airlines: An analysis from a dynamic perspective”, Transportation Research Part A: Policy and Practice, vol. 111, pp. 96-107.
  536. Curi, C., Gitto, S. & Mancuso, P. 2011, “New evidence on the efficiency of Italian airports: A bootstrapped DEA analysis”, Socio-economic planning sciences, vol. 45, no. 2, pp. 84-93.
  537. do Castelo Gouveia, M. & Clímaco, I. 2018, Assessment of fuel tax policies to tackle carbon emissions from road transport—an application of the value-based DEA method including robustness analysis.
  538. Egilmez, G., Kucukvar, M. & Park, Y.S. 2016, “Mode-specific eco-efficiency analysis of the freight transportation in the USA: An integrated life cycle assessment and linear programming approach”, World Review of Intermodal Transportation Research, vol. 6, no. 1, pp. 16-42.
  539. Egilmez, G. & Park, Y.S. 2014, “Transportation related carbon, energy and water footprint analysis of U.S. manufacturing: An eco-efficiency assessment”, Transportation Research Part D: Transport and Environment, vol. 32, pp. 143-159.
  540. Fathi, A. & Saen, R.F. 2018, “A novel bidirectional network data envelopment analysis model for evaluating sustainability of distributive supply chains of transport companies”, Journal of Cleaner Production, vol. 184, pp. 696-708.
  541. Gu, W. & Bordoloi, S. 2012, “Performance evaluation of metro stations in Shanghai: A service contact perspective”, International Journal of Services and Operations Management, vol. 11, no. 2, pp. 151-169.
  542. Guo, J., Nakamura, F., Li, Q. & Zhou, Y. 2018, “Efficiency Assessment of Transit-Oriented Development by Data Envelopment Analysis: Case Study on the Den-en Toshi Line in Japan”, Journal of Advanced Transportation, vol. 2018.
  543. Gupta, P., Mehlawat, M.K., Aggarwal, U. & Charles, V. 2018, “An integrated AHP-DEA multi-objective optimization model for sustainable transportation in mining industry”, Resources Policy.
  544. Ha, H.K., Kaneko, S., Yamamoto, M., Yoshida, Y. & Zhang, A. 2017, “On the discrepancy in the social efficiency measures between parametric and non-parametric production technology identification”, Journal of Air Transport Management, vol. 58, pp. 9-14.
  545. Hahn, J.-., Kim, D.-., Kim, H.-. & Lee, C. 2013, “Efficiency analysis on bus companies in Seoul city using a network DEA model”, KSCE Journal of Civil Engineering, vol. 17, no. 6, pp. 1480-1488.
  546. Hahn, J.-., Kim, H.-. & Kho, S.-. 2011, “Analysis of the efficiency of Seoul Arterial Bus routes and its determinant factors”, KSCE Journal of Civil Engineering, vol. 15, no. 6, pp. 1115-1123.
  547. Haralambides, H. & Gujar, G. 2012, “On balancing supply chain efficiency and environmental impacts: An eco-DEA model applied to the dry port sector of India”, Maritime Economics and Logistics, vol. 14, no. 1, pp. 122-137.
  548. He, Q., Han, J., Guan, D., Mi, Z., Zhao, H. & Zhang, Q. 2018, “The comprehensive environmental efficiency of socioeconomic sectors in China: An analysis based on a non-separable bad output SBM”, Journal of Cleaner Production, vol. 176, pp. 1091-1110.
  549. Hilmola, O.-., Lorentz, H. & Rhoades, D.L. 2015, “New environmental demands and the future of the Helsinki-Tallinn freight route”, Maritime Economics and Logistics, vol. 17, no. 2, pp. 198-220.
  550. Holden, R., Xu, B., Greening, P., Piecyk, M. & Dadhich, P. 2016, “Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis”, Transportation Research Part A: Policy and Practice, vol. 91, pp. 105-119.
  551. Hu, J.-., Lio, M.-., Yeh, F.-. & Lin, C.-. 2011, “Environment-adjusted regional energy efficiency in Taiwan”, Applied Energy, vol. 88, no. 8, pp. 2893-2899.
  552. Ji, X., Wu, J. & Zhu, Q. 2016, “Eco-design of transportation in sustainable supply chain management: A DEA-like method”, Transportation Research Part D: Transport and Environment, vol. 48, pp. 451-459.
  553. Jiang, J. 2017, “Transport energy consumption achievement based on indicator analysis”, IOP Conference Series: Earth and Environmental Science.
  554. Kengpol, A., Tuammee, S. & Tuominen, M. 2014, “The development of a framework for route selection in multimodal transportation”, International Journal of Logistics Management, vol. 25, no. 3, pp. 581-610.
  555. Kim, H.-., Choi, C.-., Woo, J.-., Choi, Y., Kim, K. & Wu, D.D. 2011, “Efficiency of the modal shift and environmental policy on the Korean railroad”, Stochastic Environmental Research and Risk Assessment, vol. 25, no. 3, pp. 305-322.
  556. Klumpp, M. 2017, “Do forwarders improve sustainability efficiency? Evidence from a European DEA Malmquist index calculation”, Sustainability (Switzerland), vol. 9, no. 5.
  557. Li, X., Li, F., Zhao, N. & Zhu, Q. 2018, “Measuring environmental sustainability performance of freight transportation seaports in China: A data envelopment analysis approach based on the closest targets”, Expert Systems.
  558. Li, Y. & Cui, Q. 2018, “Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model”, Energy, vol. 161, pp. 725-736.
  559. Li, Y. & Cui, Q. 2017, “Carbon neutral growth from 2020 strategy and airline environmental inefficiency: A Network Range Adjusted Environmental Data Envelopment Analysis”, Applied Energy, vol. 199, pp. 13-24.
  560. Lin, W., Chen, B., Xie, L. & Pan, H. 2015, “Estimating energy consumption of transport modes in China using DEA”, Sustainability (Switzerland), vol. 7, no. 4, pp. 4225-4239.
  561. Liu, H., Wu, J. & Chu, J. 2018, “Environmental efficiency and technological progress of transportation industry-based on large scale data”, Technological Forecasting and Social Change.
  562. Liu, H., Zhang, Y., Zhu, Q. & Chu, J. 2017, “Environmental efficiency of land transportation in China: A parallel slack-based measure for regional and temporal analysis”, Journal of Cleaner Production, vol. 142, pp. 867-876.
  563. Liu, X. & Wu, J. 2017, “Energy and environmental efficiency analysis of China’s regional transportation sectors: a slack-based DEA approach”, Energy Systems, vol. 8, no. 4, pp. 747-759.
  564. Liu, Z., Qin, C.-. & Zhang, Y.-. 2016, “The energy-environment efficiency of road and railway sectors in China: Evidence from the provincial level”, Ecological Indicators, vol. 69, pp. 559-570.
  565. lo Storto, C. 2018, “The analysis of the cost-revenue production cycle efficiency of the Italian airports: A NSBM DEA approach”, Journal of Air Transport Management, vol. 72, pp. 77-85.
  566. Ma, F., Li, X., Sun, Q., Liu, F., Wang, W. & Bai, L. 2018, “Regional differences and spatial aggregation of sustainable transport efficiency: A case study of China”, Sustainability (Switzerland), vol. 10, no. 7.
  567. Moutinho, V., Madaleno, M. & Robaina, M. 2017, “The economic and environmental efficiency assessment in EU cross-country: Evidence from DEA and quantile regression approach”, Ecological Indicators, vol. 78, pp. 85-97.
  568. Omrani, H., Shafaat, K. & Alizadeh, A. 2018, “Integrated data envelopment analysis and cooperative game for evaluating energy efficiency of transportation sector: a case of Iran”, Annals of Operations Research, pp. 1-29.
  569. Onat, N.C., Noori, M., Kucukvar, M., Zhao, Y., Tatari, O. & Chester, M. 2017, “Exploring the suitability of electric vehicles in the United States”, Energy, vol. 121, pp. 631-642.
  570. Ozbek, M.E., de la Garza, J.M. & Triantis, K. 2010, “Data and modeling issues faced during the efficiency measurement of road maintenance using data envelopment analysis”, Journal of Infrastructure Systems, vol. 16, no. 1, pp. 21-30.
  571. Ozbek, M.E., de la Garza, J.M. & Triantis, K. 2010, “Efficiency measurement of bridge maintenance using data envelopment analysis”, Journal of Infrastructure Systems, vol. 16, no. 1, pp. 31-39.
  572. Park, Y.S., Lim, S.H., Egilmez, G. & Szmerekovsky, J. 2016, “Environmental efficiency assessment of U.S. transport sector: A slack-based data envelopment analysis approach”, Transportation Research Part D: Transport and Environment, vol. 61, pp. 152-164.
  573. Ramanathan, R. 2005, “Estimating energy consumption of transport modes in India using DEA and application to energy and environmental policy”, Journal of the Operational Research Society, vol. 56, no. 6, pp. 732-737.
  574. Rassafi, A.A. & Vaziri, M. 2007, “Assessment of modal transportation sustainability: Application of data envelopment and concordance analyses”, Iranian Journal of Science and Technology, Transaction B: Engineering, vol. 31, no. 2, pp. 179-193.
  575. Rassafi, A.A. & Vaziri, M. 2005, “Application of data envelopment analysis in identifying milestones for passenger and freight transportation sustainability”, Scientia Iranica, vol. 12, no. 4, pp. 426-436.
  576. Raut, R., Kharat, M., Kamble, S. & Kumar, C.S. 2018, “Sustainable evaluation and selection of potential third-party logistics (3PL) providers: An integrated MCDM approach”, Benchmarking, vol. 25, no. 1, pp. 76-97.
  577. Rogers, M.M. & Weber, W.L. 2011, “Evaluating CO2 emissions and fatalities tradeoffs in truck transport”, International Journal of Physical Distribution and Logistics Management, vol. 41, no. 8, pp. 750-767.
  578. Rouse, P. & Chiu, T. 2009, “Towards optimal life cycle management in a road maintenance setting using DEA”, European Journal of Operational Research, vol. 196, no. 2, pp. 672-681.
  579. Sheth, C., Triantis, K. & Teodorović, D. 2007, “Performance evaluation of bus routes: A provider and passenger perspective”, Transportation Research Part E: Logistics and Transportation Review, vol. 43, no. 4, pp. 453-478.
  580. Shiau, T.-. & Jhang, J.-. 2010, “An integration model of DEA and RST for measuring transport sustainability”, International Journal of Sustainable Development and World Ecology, vol. 17, no. 1, pp. 76-83.
  581. Song, M., Zheng, W. & Wang, Z. 2016, “Environmental efficiency and energy consumption of highway transportation systems in China”, International Journal of Production Economics, vol. 181, pp. 441-449.
  582. Song, X., Hao, Y. & Zhu, X. 2015, “Analysis of the environmental efficiency of the Chinese transportation sector using an undesirable output slacks-based measure data envelopment analysis model”, Sustainability (Switzerland), vol. 7, no. 7, pp. 9187-9206.
  583. Starr McMullen, B. & Noh, D.-. 2007, “Accounting for emissions in the measurement of transit agency efficiency: A directional distance function approach”, Transportation Research Part D: Transport and Environment, vol. 12, no. 1, pp. 1-9.
  584. Su, J. & Rogers, M.M. 2012, “The role of economic variables and CO2emissions in examining the efficiency of national transportation systems”, International Journal of Sustainable Transportation, vol. 6, no. 1, pp. 48-66.
  585. Sun, Z., Luo, R. & Zhou, D. 2016, “Optimal path for controlling sectoral CO2emissions among China’s regions: A centralized dea approach”, Sustainability (Switzerland), vol. 8, no. 1, pp. 1-20.
  586. Tamaki, T., Nakamura, H., Fujii, H. & Managi, S. 2016, “Efficiency and emissions from urban transport: Application to world city-level public transportation”, Economic Analysis and Policy.
  587. Tatari, O., Egilmez, G. & Kurmapu, D. 2016, “Socio-eco-efficiency analysis of highways: a data envelopment analysis”, Journal of Civil Engineering and Management, vol. 22, no. 6, pp. 747-757.
  588. Wang, C.-., Ho, H.T., Luo, S.-. & Lin, T.-. 2017, “An integrated approach to evaluating and selecting green logistics providers for sustainable development”, Sustainability (Switzerland), vol. 9, no. 2.
  589. Wang, Z. & He, W. 2017, “CO2emissions efficiency and marginal abatement costs of the regional transportation sectors in China”, Transportation Research Part D: Transport and Environment, vol. 50, pp. 83-97.
  590. Wu, J., Chu, J., An, Q., Sun, J. & Yin, P. 2016, “Resource reallocation and target setting for improving environmental performance of DMUs: An application to regional highway transportation systems in China”, Transportation Research Part D: Transport and Environment, vol. 61, pp. 204-216.
  591. Wu, J., Zhu, Q., Chu, J., Liu, H. & Liang, L. 2016, “Measuring energy and environmental efficiency of transportation systems in China based on a parallel DEA approach”, Transportation Research Part D: Transport and Environment, vol. 48, pp. 460-472.
  592. Wu, Y., He, C. & Cao, X. 2013, “The impact of environmental variables on the efficiency of Chinese and other non-Chinese airlines”, Journal of Air Transport Management, vol. 29, pp. 35-38.
  593. Yang, C.-. 2012, “Productivity changes in Taiwan’s port industry incorporating environmental regulations on harbor water quality”, Transportation Planning and Technology, vol. 35, no. 8, pp. 769-789.
  594. Yu, M.-. 2004, “Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors”, Journal of Air Transport Management, vol. 10, no. 5, pp. 295-303.
  595. Zhang, J.Y., Sun, H., Li, P.F. & Li, C.C. 2017, “The Comprehensive Benefit Evaluation of Take Shared Bicycles as Connecting to Public Transit”, IOP Conference Series: Earth and Environmental Science.
  596. Zhang, M., Liu, L.B., Li, Y.H. & Shu, H.B. 2013, “Explore the influence of natural environment to highway traffic safety of mountainous area based on DEA theory”, International Journal of Applied Environmental Sciences, vol. 8, no. 23-24, pp. 2883-2891.
  597. Zhang, N. & Wei, X. 2015, “Dynamic total factor carbon emissions performance changes in the Chinese transportation industry”, Applied Energy, vol. 146, pp. 409-420.
  598. Zhang, N., Zhou, P. & Kung, C.-. 2015, “Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis”, Renewable and Sustainable Energy Reviews, vol. 41, pp. 584-593.
  599. Zhang, Q., Wang, H. & Zhou, Z. 2017, “A location decision for Chinese remanufacturing logistics network based on improved super-efficiency dea: Carbon emission constraints perspective”, ACM International Conference Proceeding Series, pp. 87.
  600. Zhou, G., Chung, W. & Zhang, X. 2013, “A study of carbon dioxide emissions performance of China’s transport sector”, Energy, vol. 50, no. 1, pp. 302-314.
  601. Zhou, H. & Hu, H. 2017, “Sustainability evaluation of railways in China using a two-stage network DEA model with undesirable outputs and shared resources”, Sustainability (Switzerland), vol. 9, no. 1.
  602. Zhu, W., Yang, X. & Preston, J. 2016, “Efficiency measurement of bus routes and exogenous operating environment effects on efficiency”, Transportation Planning and Technology, vol. 39, no. 5, pp. 464-483.

  DEA and other transportation researches

  603. Álvarez, I.C. & Blázquez, R. 2014, “The influence of the road network on private productivity measures using Data Envelopment Analysis: A case study from Spain”, Transportation Research Part A: Policy and Practice, vol. 65, pp. 33-43.
  604. Amelian, S., Shojaie, A.A. & Davoodi, S.M.R. 2017, “Road safety evaluation using data envelopment analysis case study: Roads in provinces in Iran”, International Journal of Vehicle Safety, vol. 9, no. 3, pp. 253-261.
  605. Amirteimoori, A. 2011, “An extended transportation problem: A DEA-based approach”, Central European Journal of Operations Research, vol. 19, no. 4, pp. 513-521.
  606. Andrejić, M., Bojović, N. & Kilibarda, M. 2016, “A framework for measuring transport efficiency in distribution centers”, Transport Policy, vol. 45, pp. 99-106.
  607. Azadeh, A., Pourebrahim Ahvazi, M., Motevali Haghighii, S. & Keramati, A. 2016, “Simulation optimization of an emergency department by modeling human errors”, Simulation Modelling Practice and Theory, vol. 67, pp. 117-136.
  608. Barnum, D.T., Karlaftis, M.G. & Tandon, S. 2011, “Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers”, Transportation Research Part E: Logistics and Transportation Review, vol. 47, no. 6, pp. 1160-1176.
  609. Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. & Ferraz, A.C.P. 2015, “Bootstrapping DEA scores for road safety strategic analysis in Brazil”, International Journal of Computational Intelligence Systems, vol. 8, pp. 29-38.
  610. Behnood, H.R. 2018, “Best practice analysis of action for road safety in Iran amongst the leading developing countries using an optimized success indicator”, Transport Policy, vol. 66, pp. 76-84.
  611. Behnood, H.R., Ayati, E., Hermans, E. & Neghab, M.A.P. 2014, “Road safety performance evaluation and policy making by data envelopment analysis: A case study of provincial data in Iran”, Scientia Iranica, vol. 21, no. 5, pp. 1515-1528.
  612. Boame, A.K. 2004, “The technical efficiency of Canadian urban transit systems”, Transportation Research Part E: Logistics and Transportation Review, vol. 40, no. 5, pp. 401-416.
  613. Boilé, M.P. 2001, “Estimating technical and scale inefficiencies of public transit systems”, Journal of Transportation Engineering, vol. 127, no. 3, pp. 187-194.
  614. Cesaroni, G. 2018, “Industry cost efficiency in data envelopment analysis”, Socio-economic planning sciences, vol. 61, pp. 37-43.
  615. Chen, C., Achtari, G., Majkut, K. & Sheu, J.-. 2017, “Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: A case of Quinte West”, Transportation Research Part A: Policy and Practice, vol. 95, pp. 148-165.
  616. Chen, C.-., Du, J., Huo, J. & Zhu, J. 2012, “Undesirable factors in integer-valued DEA: Evaluating the operational efficiencies of city bus systems considering safety records”, Decision Support Systems, vol. 54, no. 1, pp. 330-335.
  617. Chen, S.-., Mao, B.-., Liu, S., Sun, Q.-., Wei, W. & Zhan, L.-. 2013, “Computer-aided analysis and evaluation on ramp spacing along urban expressways”, Transportation Research Part C: Emerging Technologies, vol. 36, pp. 381-393.
  618. Chen, Y. & Han, B. 2012, “Regional public transportation scheduling model based on welfare economics and DEA”, International Journal of Modelling, Identification and Control, vol. 16, no. 3, pp. 272-276.
  619. Chen, Y.-., Lai, P.-. & Piboonrungroj, P. 2017, “The relationship between airport performance and privatisation policy: A nonparametric metafrontier approach”, Journal of Transport Geography, vol. 62, pp. 229-235.
  620. Costa, Á. & Markellos, R.N. 1997, “Evaluating public transport efficiency with neural network models”, Transportation Research Part C: Emerging Technologies, vol. 5, no. 5, pp. 301-312.
  621. Cowie, J. & Asenova, D. 1999, “Organisation form, scale effects and efficiency in the British bus industry”, Transportation, vol. 26, no. 3, pp. 231-248.
  622. Cruijssen, F., Dullaert, W. & Joro, T. 2010, “Freight transportation efficiency through horizontal cooperation in flanders”, International Journal of Logistics Research and Applications, vol. 13, no. 3, pp. 161-178.
  623. Dewita, Y., Yen, B.T.H. & Burke, M. 2018, “The effect of transport cost on housing affordability: Experiences from the Bandung Metropolitan Area, Indonesia”, Land Use Policy, vol. 79, pp. 507-519.
  624. Djordjević, B., Krmac, E. & Mlinarić, T.J. 2018, “Non-radial DEA model: A new approach to evaluation of safety at railway level crossings”, Safety Science, vol. 103, pp. 234-246.
  625. Fanou, E.H. & Wang, X. 2018, “Assessment of transit transport corridor efficiency of landlocked African countries using data envelopment analysis”, South African Journal of Science, vol. 114, no. 1-2.
  626. Fayyaz S, S.K., Cathy Liu, X. & Wei, R. 2018, Transit Vehicle Performance Analysis for Service Continuity/Termination: A Data Envelopment Analysis Approach.
  627. Fitzová, H., Matulová, M. & Tomeš, Z. 2018, “Determinants of urban public transport efficiency: case study of the Czech Republic”, European Transport Research Review, vol. 10, no. 2.
  628. García-Palomares, J.C., Gutiérrez, J., Martín, J.C. & Moya-Gómez, B. 2018, “An analysis of the Spanish high capacity road network criticality”, Transportation, vol. 45, no. 4, pp. 1139-1159.
  629. Gibson, E., van Blommestein, K., Kim, J., Daim, T. & Garces, E. 2017, “Forecasting the electric transformation in transportation: the role of battery technology performance”, Technology Analysis and Strategic Management, vol. 29, no. 10, pp. 1103-1120.
  630. Güner, S. & Coşkun, E. 2016, “Determining the best performing benchmarks for transit routes with a multi-objective model: the implementation and a critique of the two-model approach”, Public Transport, vol. 8, no. 2, pp. 205-224.
  631. Guo, W., Gong, D.Q. & Hu, J.Z. 2015, “Applying Data Envelopment Analysis (DEA) approach to analyse investment efficiency of transportation projects”, Advances in Transportation Studies, vol. 2, pp. 139-150.
  632. Hanauerová, E. 2018, “Assessing the technical efficiency of public procurements in the bus transportation sector in the Czech Republic”, Socio-economic planning sciences, .
  633. Hanumappa, D., Ramachandran, P., Sitharam, T.G. & Lakshmana, S. 2015, “Performance evaluation of Bangalore metropolitan transport corporation: An application of data envelopment analysis”, Journal of Public Transportation, vol. 18, no. 2, pp. 1-19.
  634. Holmgren, J. 2018, “The effects of using different output measures in efficiency analysis of public transport operations”, Research in Transportation Business and Management, .
  635. Jafari Songhori, M., Tavana, M., Azadeh, A. & Khakbaz, M.H. 2011, “A supplier selection and order allocation model with multiple transportation alternatives”, International Journal of Advanced Manufacturing Technology, vol. 52, no. 1-4, pp. 365-376.
  636. Jiang, C. 2010, “Research on logistics network infrastructure based on HCA and DEA-PCA approach”, Journal of Computers, vol. 5, no. 4, pp. 533-540.
  637. Juan, Z., Wu, J. & McDonald, M. 2006, “Socio-economic impact assessment of intelligent transport systems”, Tsinghua Science and Technology, vol. 11, no. 3, pp. 339-350.
  638. Juan, Z., Wu, J. & McDonald, M. 2003, “The socio-economic impacts assessment of advanced convoy driving on motorway”, Transportation Research Part A: Policy and Practice, vol. 37, no. 9, pp. 731-747.
  639. Karlaftis, M.G. 2003, “Investigating transit production and performance: A programming approach”, Transportation Research Part A: Policy and Practice, vol. 37, no. 3, pp. 225-240.
  640. Kawamoto, K. & Kim, K. 2016, “Social capital and efficiency of earthquake waste management in Japan”, International Journal of Disaster Risk Reduction, vol. 18, pp. 256-266.
  641. Kerstens, K. 1996, “Technical efficiency measurement and explanation of french urban transit companies”, Transportation Research Part A: Policy and Practice, vol. 30, no. 6 PART A, pp. 431-452.
  642. Lan, L.W., Chiou, Y.-. & Yen, B.T.H. 2014, “Integrated fuzzy data envelopment analysis to assess transport performance”, Transportmetrica A: Transport Science, vol. 10, no. 5, pp. 401-419.
  643. Lau, K.H. 2013, “Measuring distribution efficiency of a retail network through data envelopment analysis”, International Journal of Production Economics, vol. 146, no. 2, pp. 598-611.
  644. Lin, J., Wang, P. & Barnum, D.T. 2008, “A quality control framework for bus schedule reliability”, Transportation Research Part E: Logistics and Transportation Review, vol. 44, no. 6, pp. 1086-1098.
  645. Liu, H.-. 2014, “Evaluating knowledge outsourcing performance of public sectors with data envelopment analysis”, Revista Internacional de Sociologia, vol. 72, no. Extra 2, pp. 23-32.
  646. Matulová, M. & Fitzová, H. 2018, “Transformation of urban public transport financing and its effect on operators’ efficiency: evidence from the Czech Republic”, Central European Journal of Operations Research, pp. 1-17.
  647. Merkert, R., Mulley, C. & Hakim, M.M. 2017, “Determinants of bus rapid transit (BRT) system revenue and effectiveness – A global benchmarking exercise”, Transportation Research Part A: Policy and Practice, vol. 106, pp. 75-88.
  648. Min, H., Ahn, Y.-. & Lambert, T. 2017, “Benchmarking and improving mass transit systems in the United States based on best-in class practices: Policy implications”, International Journal of Logistics Management, vol. 28, no. 1, pp. 172-193.
  649. Zaid, Z.B., Shah, M.Z. & Rahim, A.B.A. 2016, “Modelling the road transport for efficiency analysis”, Trends in Bioinformatics, vol. 9, no. 2, pp. 65-69.
  650. Neumann, A., Nieswand, M. & Schubert, T. 2016, “Estimating alternative technology sets in nonparametric efficiency analysis: restriction tests for panel and clustered data”, Journal of Productivity Analysis, vol. 45, no. 1, pp. 35-51.
  651. Novaes, A.G.N., Silveira, S.F. & Medeiros, H.C. 2010, “Efficiency and productivity analysis of the interstate bus transportation industry in Brazil”, Pesquisa Operacional, vol. 30, no. 2, pp. 465-485.
  652. Noveiri, M.J.S., Kordrostami, S. & Amirteimoori, A. 2018, “Detecting the multi-period performance and efficiency changes of systems with undesirable outputs”, Discrete Mathematics, Algorithms and Applications, vol. 10, no. 3.
  653. Odeck, J. 2008, “The effect of mergers on efficiency and productivity of public transport services”, Transportation Research Part A: Policy and Practice, vol. 42, no. 4, pp. 696-708.
  654. Odeck, J. 2006, “Congestion, ownership, region of operation, and scale: Their impact on bus operator performance in Norway”, Socio-economic planning sciences, vol. 40, no. 1, pp. 52-69.
  655. Odeck, J. & Alkadi, A. 2001, “Evaluating efficiency in the Norwegian bus industry using data envelopment analysis”, Transportation, vol. 28, no. 3, pp. 211-232.
  656. Onat, N.C., Noori, M., Kucukvar, M., Zhao, Y., Tatari, O. & Chester, M. 2017, “Exploring the suitability of electric vehicles in the United States”, Energy, vol. 121, pp. 631-642.
  657. Ozbek, M.E., de la Garza, J.M. & Triantis, K. 2012, “Efficiency measurement of the maintenance of paved lanes using data envelopment analysis”, Construction Management and Economics, vol. 30, no. 11, pp. 995-1009.
  658. Ozbek, M.E., de la Garza, J.M. & Triantis, K. 2009, “Data envelopment analysis as a decision-making tool for transportation professionals”, Journal of Transportation Engineering, vol. 135, no. 11, pp. 822-831.
  659. Pal, D. & Mitra, S.K. 2016, “An application of the directional distance function with the number of accidents as an undesirable output to measure the technical efficiency of state road transport in India”, Transportation Research Part A: Policy and Practice, vol. 93, pp. 1-12.
  660. Panayides, P.M. & Lambertides, N. 2011, “The relative efficiency of maritime firms: Evidence from container lines”, Singapore Economic Review, vol. 56, no. 4, pp. 503-522.
  661. Panayides, P.M., Lambertides, N. & Savva, C.S. 2011, “The relative efficiency of shipping companies”, Transportation Research Part E: Logistics and Transportation Review, vol. 47, no. 5, pp. 681-694.
  662. Park, H.G. & Lee, Y.J. 2015, “The Efficiency and Productivity Analysis of Large Logistics Providers Services in Korea”, Asian Journal of Shipping and Logistics, vol. 31, no. 4, pp. 469-476.
  663. Pendar, P., Mokhatab-Rafiei, F. & Nilipour-Tabatabaei, S.A. 2018, “Performance evaluation of the public transportation system in Esfahan Steel Company from the production line employees’ perspective with data envelopment analysis approach”, International Journal of Productivity and Quality Management, vol. 23, no. 2, pp. 137-162.
  664. Rodrigues, M.M., Hein, N., Wilhelm, V.E. & Kroenke, A. 2015, “Impact of convergence to IFRS on the economic and financial performance of construction and transportation enterprises: A study conducted through data envelopment analysis”, Applied Mathematical Sciences, vol. 9, no. 89-92, pp. 4499-4521.
  665. Salehian, F., Razmi, J. & Jolai, F. 2018, “A hybrid ranking approach based on fuzzy analytical hierarchy process and data envelopment analysis: Road maintenance and transport organization of Iran”, Journal of Intelligent and Fuzzy Systems, vol. 34, no. 4, pp. 2373-2383.
  666. Saxena, M., Chotia, V. & Rao, N.V.M. 2018, “Estimating the Efficiency of Public Infrastructure Investment: A State-wise Analysis”, Global Business Review, vol. 19, no. 4, pp. 1037-1049.
  667. Saxena, P., Dewan, K.K. & Mustafa, M. 2006, “Data Envelopment Analysis: An application in the transport sector”, Journal of Interdisciplinary Mathematics, vol. 9, no. 2, pp. 385-395.
  668. Saxena, P. & Saxena, R.R. 2010, “Measuring efficiencies in Indian public road transit: A data envelopment analysis approach”, OPSEARCH, vol. 47, no. 3, pp. 195-204.
  669. Shabani, A., Torabipour, S.M.R. & Saen, R.F. 2015, “A new super-efficiency dual-role FDH procedure: An application in dairy cold chain for vehicle selection”, International Journal of Shipping and Transport Logistics, vol. 7, no. 4, pp. 426-456.
  670. Shah, S.A.R., Ahmad, N., Shen, Y., Pirdavani, A., Basheer, M.A. & Brijs, T. 2018, “Road safety risk assessment: An analysis of transport policy and management for low-, middle-, and high-income Asian countries”, Sustainability (Switzerland), vol. 10, no. 2.
  671. Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T. & Vanhoof, K. 2011, “A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation”, Expert Systems with Applications, vol. 38, no. 12, pp. 15262-15272.
  672. Singh, P., Singh, A.K., Singh, P., Kumari, S. & Sangaiah, A.K. 2018, “Multimodal data modeling for efficiency assessment of social priority based urban bus route transportation system using GIS and data envelopment analysis”, Multimedia Tools and Applications, , pp. 1-19.
  673. Sun, D., Chen, S., Zhang, C. & Shen, S. 2016, “A bus route evaluation model based on GIS and super-efficient data envelopment analysis”, Transportation Planning and Technology, vol. 39, no. 4, pp. 407-423.
  674. Sun, L., Rong, J. & Yao, L. 2010, “Measuring transfer efficiency of urban public transportation terminals by data envelopment analysis”, Journal of Urban Planning and Development, vol. 136, no. 4, pp. 314-319.
  675. Tešić, M., Hermans, E., Lipovac, K. & Pešić, D. 2018, “Identifying the most significant indicators of the total road safety performance index”, Accident Analysis and Prevention, vol. 113, pp. 263-278.
  676. Venkatesh, A. & Kushwaha, S. 2018, “Short and long-run cost efficiency in Indian public bus companies using Data Envelopment Analysis”, Socio-economic planning sciences, vol. 61, pp. 29-36.
  677. Wei, J. & Xia, W. 2014, “Evaluation of Industrial-Accidents Management Performance in China”, Human and Ecological Risk Assessment, vol. 20, no. 2, pp. 537-558.
  678. Wei, R., Liu, X., Mu, Y., Wang, L., Golub, A. & Farber, S. 2017, “Evaluating public transit services for operational efficiency and access equity”, Journal of Transport Geography, vol. 65, pp. 70-79.
  679. Welde, M. & Odeck, J. 2011, “The efficiency of Norwegian road toll companies”, Utilities Policy, vol. 19, no. 3, pp. 162-171.
  680. Wey, W.-. & Chang, Y.-. 2009, “A comparative location study for the joint development station of mass rapid transit system: A case in Taichung City in Taiwan”, Environment and Planning B: Planning and Design, vol. 36, no. 4, pp. 573-587.
  681. Wu, G., Miao, Z., Shao, S., Jiang, K., Geng, Y., Li, D. & Liu, H. 2018, “Evaluating the construction efficiencies of urban wastewater transportation and treatment capacity: Evidence from 70 megacities in China”, Resources, Conservation and Recycling, vol. 128, pp. 373-381.
  682. Xu, N. & Lu, W. 2015, “Super efficiency DEA evaluation model with entropy weight restriction for expressway transport effectiveness”, ICIC Express Letters, Part B: Applications, vol. 6, no. 8, pp. 2101-2105.
  683. Xu, X.-., Liu, J., Li, H.-. & Jiang, M. 2016, “Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study”, Transportation Research Part E: Logistics and Transportation Review, vol. 87, pp. 130-148.
  684. Yu, M.-., Chen, L.-. & Chiang, H. 2017, “The effects of alliances and size on airlines’ dynamic operational performance”, Transportation Research Part A: Policy and Practice, vol. 106, pp. 197-214.
  685. Yu, M.-. & Hsiao, B. 2016, “Measuring the technology gap and logistics performance of individual countries by using a meta-DEA–AR model”, Maritime Policy and Management, vol. 43, no. 1, pp. 98-120.
  686. Zhang, C., Juan, Z., Luo, Q. & Xiao, G. 2016, “Performance evaluation of public transit systems using a combined evaluation method”, Transport Policy, vol. 45, pp. 156-167.
  687. Zhang, K., Xu ME, Y. & Sun, D. 2018, “A mixed frontier model for urban bus performance evaluation”, Proceedings of the Institution of Civil Engineers: Transport, vol. 171, no. 2, pp. 65-74.
  688. Zhao, Y., Triantis, K., Murray-Tuite, P. & Edara, P. 2011, “Performance measurement of a transportation network with a downtown space reservation system: A network-DEA approach”, Transportation Research Part E: Logistics and Transportation Review, vol. 47, no. 6, pp. 1140-1159.