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Assessing the technical efficiency, service effectiveness, and technical effectiveness of the world's railways through NDEA analysis

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  1. Brida, Juan Gabriel & Deidda, Manuela & Pulina, Manuela, 2014. "Tourism and transport systems in mountain environments: analysis of the economic efficiency of cableways in South Tyrol," Journal of Transport Geography, Elsevier, vol. 36(C), pages 1-11.
  2. 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, Elsevier, vol. 91(C), pages 105-119.
  3. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
  4. lo Storto, Corrado, 2018. "The analysis of the cost-revenue production cycle efficiency of the Italian airports: A NSBM DEA approach," Journal of Air Transport Management, Elsevier, vol. 72(C), pages 77-85.
  5. Marchetti, Dalmo & Wanke, Peter F., 2019. "Efficiency in rail transport: Evaluation of the main drivers through meta-analysis with resampling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 83-100.
  6. Chiou, Yu-Chiun & Lan, Lawrence W. & Yen, Barbara T.H., 2010. "A joint measurement of efficiency and effectiveness for non-storable commodities: Integrated data envelopment analysis approaches," European Journal of Operational Research, Elsevier, vol. 201(2), pages 477-489, March.
  7. Le, Yiping & Oka, Minami & Kato, Hironori, 2022. "Efficiencies of the urban railway lines incorporating financial performance and in-vehicle congestion in the Tokyo Metropolitan Area," Transport Policy, Elsevier, vol. 116(C), pages 343-354.
  8. Mohsen Khodakarami & Amir Shabani & Reza Farzipoor Saen, 2016. "Concurrent estimation of efficiency, effectiveness and returns to scale," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(5), pages 1202-1220, April.
  9. Karlaftis, Matthew G. & Tsamboulas, Dimitrios, 2012. "Efficiency measurement in public transport: Are findings specification sensitive?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 392-402.
  10. Mallikarjun, Sreekanth & Lewis, Herbert F. & Sexton, Thomas R., 2014. "Operational performance of U.S. public rail transit and implications for public policy," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 74-88.
  11. Bo Hsiao & LihChyun Shu & Ming-Miin Yu & Li-Kang Shen & Ding-Jiun Wang, 2017. "Performance evaluation of the Taiwan railway administration," Annals of Operations Research, Springer, vol. 259(1), pages 119-156, December.
  12. Aziz Kutlar & Ali Kabasakal & Murat Sarikaya, 2013. "Determination of the efficiency of the world railway companies by method of DEA and comparison of their efficiency by Tobit analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3575-3602, October.
  13. Finger, Matthias, 2014. "Governance of competition and performance in European railways: An analysis of five cases," Utilities Policy, Elsevier, vol. 31(C), pages 278-288.
  14. Esther Jose & Puneet Agarwal & Jun Zhuang & Jose Swaminathan, 2023. "A multi-criteria decision making approach to evaluating the performance of Indian railway zones," Annals of Operations Research, Springer, vol. 325(2), pages 1133-1168, June.
  15. Cavaignac, Laurent & Petiot, Romain, 2017. "A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 84-96.
  16. Ali Kabasakal & Aziz Kutlar & Murat Sarikaya, 2015. "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, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 69-88, March.
  17. Azadi, Majid & Shabani, Amir & Khodakarami, Mohsen & Farzipoor Saen, Reza, 2015. "Reprint of “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, Elsevier, vol. 74(C), pages 22-36.
  18. Førsund, Finn R., 2017. "Measuring effectiveness of production in the public sector," Omega, Elsevier, vol. 73(C), pages 93-103.
  19. Ching-Chin Chern & Tzi-Yuan Chou & Bo Hsiao, 2016. "Assessing the efficiency of supply chain scheduling algorithms using data envelopment analysis," Information Systems and e-Business Management, Springer, vol. 14(4), pages 823-856, November.
  20. Huang, Wencheng & Shuai, Bin & Sun, Yan & Wang, Yang & Antwi, Eric, 2018. "Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 292-303.
  21. Lu, Wen-Min & Wang, Wei-Kang & Hung, Shiu-Wan & Lu, En-Tzu, 2012. "The effects of corporate governance on airline performance: Production and marketing efficiency perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 529-544.
  22. Wanke, Peter & Barros, C.P. & Figueiredo, Otávio, 2016. "Efficiency and productive slacks in urban transportation modes: A two-stage SDEA-Beta Regression approach," Utilities Policy, Elsevier, vol. 41(C), pages 31-39.
  23. Di Yao & Liqun Xu & Jinpei Li, 2019. "Evaluating the Performance of Public Transit Systems: A Case Study of Eleven Cities in China," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
  24. Daniel (Jian) Sun & Shukai Chen & Chun Zhang & Suwan Shen, 2016. "A bus route evaluation model based on GIS and super-efficient data envelopment analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(4), pages 407-423, June.
  25. Marc Laperrouza, 2011. "Reforming Railways," Chapters, in: Matthias Finger & Rolf W. Künneke (ed.), International Handbook of Network Industries, chapter 13, Edward Elgar Publishing.
  26. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
  27. Aleksandra Górecka & Joanna Baran & Helga Pavlic Skender & Mirjana Grcic Fabic, 2018. "Correlation Between Inland Transport Efficiency, Gdp And Environmental Aspects In Eu Countries," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 453-470.
  28. Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
  29. Prashant Premkumar & P. N. Ram Kumar, 2019. "Literature Review of Locomotive Assignment Problem from Service Operations Perspective: The Case of Indian Railways," IIM Kozhikode Society & Management Review, , vol. 8(1), pages 74-86, January.
  30. Lu, Wen-Min & Kweh, Qian Long & Nourani, Mohammad & Huang, Feng-Wen, 2016. "Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives," Omega, Elsevier, vol. 62(C), pages 82-92.
  31. Ming-Miin Yu & Li-Hsueh Chen, 2020. "A meta-frontier network data envelopment analysis approach for the measurement of technological bias with network production structure," Annals of Operations Research, Springer, vol. 287(1), pages 495-514, April.
  32. Changhee Kim & Soo Wook Kim & Hee Jay Kang & Seung-Min Song, 2017. "What Makes Urban Transportation Efficient? Evidence from Subway Transfer Stations in Korea," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
  33. Niu, Yanliang & Li, Xin & Zhang, Jiangxue & Deng, Xiaopeng & Chang, Yuan, 2023. "Efficiency of railway transport: A comparative analysis for 16 countries," Transport Policy, Elsevier, vol. 141(C), pages 42-53.
  34. Qin, Feifei & Zhang, Xiaoning & Zhou, Qiang, 2014. "Evaluating the impact of organizational patterns on the efficiency of urban rail transit systems in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 89-99.
  35. Hao Zhang & Xinyue Wang & Letao Chen & Yujia Luo & Sujie Peng, 2022. "Evaluation of the Operational Efficiency and Energy Efficiency of Rail Transit in China’s Megacities Using a DEA Model," Energies, MDPI, vol. 15(20), pages 1-16, October.
  36. Omer Faruk Gorcun, 2019. "A Hybrid Mcdm Model For Evaluation Of Rail Freight Transportation Efficiencies Of Balkan States," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 13(1), pages 324-340.
  37. Wey, Wann-Ming & Kang, Chao-Chung & Khan, Haider A., 2020. "Evaluating the effects of environmental factors and a transfer fare discount policy on the performance of an urban metro system," Transport Policy, Elsevier, vol. 97(C), pages 172-185.
  38. Thiago Victorino & Carlos Rosano Peña, 2023. "The Development of Efficiency Analysis in Transportation Systems: A Bibliometric and Systematic Review," Sustainability, MDPI, vol. 15(13), pages 1-32, June.
  39. Li, Nan & Liu, Cengceng & Zha, Donglan, 2016. "Performance evaluation of Chinese photovoltaic companies with the input-oriented dynamic SBM model," Renewable Energy, Elsevier, vol. 89(C), pages 489-497.
  40. Jorge Antunes & Goodness C. Aye & Rangan Gupta & Peter Wanke & Yong Tan, 2020. "Endogenous Long-Term Productivity Performance in Advanced Countries: A Novel Two-Dimensional Fuzzy-Monte Carlo Approach," Working Papers 2020111, University of Pretoria, Department of Economics.
  41. Tianbo Tang & Jianxin You & Hui Sun & Hao Zhang, 2019. "Transportation Efficiency Evaluation Considering the Environmental Impact for China’s Freight Sector: A Parallel Data Envelopment Analysis," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
  42. Mahdiloo, Mahdi & Toloo, Mehdi & Duong, Thach-Thao & Farzipoor Saen, Reza & Tatham, Peter, 2018. "Integrated data envelopment analysis: Linear vs. nonlinear model," European Journal of Operational Research, Elsevier, vol. 268(1), pages 255-267.
  43. Bhatia, Vinod & Sharma, Seema, 2021. "Expense based performance analysis and resource rationalization: Case of Indian Railways," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
  44. Kao, Chiang, 2017. "Efficiency measurement and frontier projection identification for general two-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 261(2), pages 679-689.
  45. Azadi, Majid & Shabani, Amir & Khodakarami, Mohsen & Farzipoor Saen, Reza, 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, Elsevier, vol. 70(C), pages 324-338.
  46. Bai, Xuejie & Jin, Zeng & Chiu, Yung-Ho, 2021. "Performance evaluation of China's railway passenger transportation sector," Research in Transportation Economics, Elsevier, vol. 90(C).
  47. Ming-Miin Yu & Po-Chi Chen, 2011. "Measuring air routes performance using a fractional network data envelopment analysis model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(1), pages 81-98, March.
  48. Álvarez, Inmaculada C. & Blázquez, Reyes, 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, Elsevier, vol. 65(C), pages 33-43.
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