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Evaluation of the Operational Efficiency and Energy Efficiency of Rail Transit in China’s Megacities Using a DEA Model

Author

Listed:
  • Hao Zhang

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Xinyue Wang

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Letao Chen

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)

  • Yujia Luo

    (School for Business and Society, University of York, York YO10 5GD, UK)

  • Sujie Peng

    (Faculty of Business and Management, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai 519087, China)

Abstract

To date, along with the rapid development of urban rail transit (URT) in China, the evaluation of operational efficiency and energy efficiency has become one of the most important topics. However, the extant literature regarding the efficiency of URT at the line level and considering carbon emissions is limited. To fill the gap, an evaluation model based on slacks-based measure (SBM) data envelopment analysis (DEA) is proposed to measure the efficiencies, which is applied to 61 URT lines in China’s four megacities. The findings are summarized as follows: (1) The average operational efficiency and energy efficiency of URT lines are low, and both have great room for improvement. (2) There are significant disparities in the efficiency of URT lines in the case cities. For instance, the average operational efficiency of URT lines in Guangzhou is higher than that of other cities, while the average energy efficiency of URT lines in Shanghai is higher than that of other cities. (3) The URT lines operated by state-owned enterprises have higher average operational efficiency, while the lines operated by joint ventures have higher average energy efficiency. Finally, some suggestions are provided to improve the efficiencies.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7758-:d:948110
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    References listed on IDEAS

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    1. Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    2. Karlaftis, Matthew G., 2004. "A DEA approach for evaluating the efficiency and effectiveness of urban transit systems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 354-364, January.
    3. Jain, Priyanka & Cullinane, Sharon & Cullinane, Kevin, 2008. "The impact of governance development models on urban rail efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1238-1250, November.
    4. Yu, Ming-Miin, 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, Elsevier, vol. 42(10), pages 1283-1294, December.
    5. Yu, Ming-Miin & Lin, Erwin T.J., 2008. "Efficiency and effectiveness in railway performance using a multi-activity network DEA model," Omega, Elsevier, vol. 36(6), pages 1005-1017, December.
    6. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    7. William Roy & Anne Yvrande-Billon, 2007. "Ownership, Contractual Practices and Technical Efficiency: The Case of Urban Public Transport in France," Journal of Transport Economics and Policy, University of Bath, vol. 41(2), pages 257-282, May.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Li, Tao & Yang, Wenyue & Zhang, Haoran & Cao, Xiaoshu, 2016. "Evaluating the impact of transport investment on the efficiency of regional integrated transport systems in China," Transport Policy, Elsevier, vol. 45(C), pages 66-76.
    10. Sebastián Lozano & Ester Gutiérrez, 2014. "A slacks-based network DEA efficiency analysis of European airlines," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(7), pages 623-637, October.
    11. 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.
    12. Chi-Hong (Patrick) Tsai & Corinne Mulley & Rico Merkert, 2015. "Measuring the Cost Efficiency of Urban Rail Systems An International Comparison Using DEA and Tobit Models," Journal of Transport Economics and Policy, University of Bath, vol. 49(1), pages 17-34, January.
    13. Álvaro Costa & Carlos Oliveira Cruz & Joaquim Miranda Sarmento & Vitor Faria Sousa, 2021. "Empirical Analysis of the Effects of Ownership Model (Public vs. Private) on the Efficiency of Urban Rail Firms," Sustainability, MDPI, vol. 13(23), pages 1-14, December.
    14. Elisabetta Ottoz & Graziella Fornengo & Marina Di Giacomo, 2009. "The impact of ownership on the cost of bus service provision: an example from Italy," Applied Economics, Taylor & Francis Journals, vol. 41(3), pages 337-349.
    15. William Roy & Anne Yvrande-Billon, 2007. "Ownership, Contractual Practices and Technical Efficiency: The Case of Urban Public Transport in France," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00107375, HAL.
    16. Georgiadis, Georgios & Politis, Ioannis & Papaioannou, Panagiotis, 2014. "Measuring and improving the efficiency and effectiveness of bus public transport systems," Research in Transportation Economics, Elsevier, vol. 48(C), pages 84-91.
    17. Xiaowei Song & Yongpei Hao & Xiaodong Zhu, 2015. "Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
    18. Jun-Fei Chu & Jie Wu & Ma-Lin Song, 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, Springer, vol. 270(1), pages 105-124, November.
    19. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    20. William Roy & Anne Yvrande-Billon, 2007. "Ownership, Contractual Practices and Technical Efficiency: The Case of Urban Public Transport in France," Post-Print halshs-00107375, HAL.
    21. Barnum, Darold T. & Karlaftis, Matthew G. & Tandon, Sonali, 2011. "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1160-1176.
    22. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
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