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Evaluating the effects of environmental factors and a transfer fare discount policy on the performance of an urban metro system

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  • Wey, Wann-Ming
  • Kang, Chao-Chung
  • Khan, Haider A.

Abstract

This study presents a mixed network data envelopment analysis (MNDEA) model with shared resources, a two-stage network, and parallel structures integration developed through the application of directional distance function theory. Environmental factors and a transport policy are introduced into the model to assess the effects on the efficiency and effectiveness of an urban metro system and associated subsystems. Using data from a metro system between 2005 and 2015, a case study is conducted. Following the inclusion of subsystem area population density data and transfer ridership constraints, indications from the MNDEA model suggest that a service technology change could lead to improvements to the metro system and associated subsystems. By contrast, the inclusion of a car ownership variable does not appear to influence the production technology of the metro system and associated subsystems over the same analysis period. The results lend support to the notion that the proposed model could be used to determine the efficiency and effectiveness of urban metro systems and associated subsystems simultaneously. The model also enables the determination of the ratios of shared inputs across production and service processes. The proposed model includes the non-storable services, multi-product, and multi-capacity system features of the metro system. The MNDEA model could enable operators to gain valuable insight into the performance of metro systems and associated subsystems, which in turn could enable the development of improvements. The proposed model could also be applied to analyze the efficiency and effectiveness of the “route-based” or multi-modal aspects of public transport.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:trapol:v:97:y:2020:i:c:p:172-185
    DOI: 10.1016/j.tranpol.2020.05.004
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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, July-Dece.
    2. Lawrence W. Lan & Erwin T. J. Lin, 2006. "Performance Measurement for Railway Transport: Stochastic Distance Functions with Inefficiency and Ineffectiveness Effects," Journal of Transport Economics and Policy, University of Bath, vol. 40(3), pages 383-408, September.
    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. Graham, Daniel J. & Couto, Antonio & Adeney, William E. & Glaister, Stephen, 2003. "Economies of scale and density in urban rail transport: effects on productivity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(6), pages 443-458, November.
    7. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    8. 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.
    9. Chen, Yao & Cook, Wade D. & Kao, Chiang & Zhu, Joe, 2013. "Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures," European Journal of Operational Research, Elsevier, vol. 226(3), pages 507-515.
    10. Daraio, Cinzia & Diana, Marco & Di Costa, Flavia & Leporelli, Claudio & Matteucci, Giorgio & Nastasi, Alberto, 2016. "Efficiency and effectiveness in the urban public transport sector: A critical review with directions for future research," European Journal of Operational Research, Elsevier, vol. 248(1), pages 1-20.
    11. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    12. Zhang, Chunqin & Juan, Zhicai & Luo, Qingyu & Xiao, Guangnian, 2016. "Performance evaluation of public transit systems using a combined evaluation method," Transport Policy, Elsevier, vol. 45(C), pages 156-167.
    13. Graham, Daniel J., 2008. "Productivity and efficiency in urban railways: Parametric and non-parametric estimates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(1), pages 84-99, January.
    14. Kao, Chiang, 2009. "Efficiency measurement for parallel production systems," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1107-1112, August.
    15. Schakenbos, Rik & Paix, Lissy La & Nijenstein, Sandra & Geurs, Karst T., 2016. "Valuation of a transfer in a multimodal public transport trip," Transport Policy, Elsevier, vol. 46(C), pages 72-81.
    16. Zhang, Chunqin & Xiao, Guangnian & Liu, Yong & Yu, Feng, 2018. "The relationship between organizational forms and the comprehensive effectiveness for public transport services in China?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 783-802.
    17. 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.
    18. Henry-Jean GATHON, 1989. "Indicators Of Partial Productivity And Technical Efficiency In The European Urban Transit Sector," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 60(1), pages 43-60, January.
    19. Lorenzo Castelli & Raffaele Pesenti, 2014. "Network, Shared Flow and Multi-level DEA Models: A Critical Review," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 329-376, Springer.
    20. 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.
    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.
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