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A multi-dimensional framework for evaluating the transit service performance

Author

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  • Hassan, Mohammad Nurul
  • Hawas, Yaser E.
  • Ahmed, Kamran

Abstract

This paper presents a multi-level framework to measure public transit service performance. This framework uses a combination of subjective and objective measures to assess the service quality. It allows for the opinions of the various stakeholders of public transit services (users, operators, and service providers) to be incorporated in a multi-criteria evaluation process. The framework can evaluate the public transit service performance at different levels of details (system level and route level). It can be used to assess the performance at the route level, which can then be used to provide specific recommendations to enhance the operation for specific routes, and also it can be used at a more macroscopic level to identify the operational deficiencies or areas of improvement at the system level. The route analysis level is based on a multi-criteria evaluation procedure that involves weighted scoring techniques. A case study on a transit system of 12 operating routes in Abu Dhabi city is conducted to illustrate the framework.

Suggested Citation

  • Hassan, Mohammad Nurul & Hawas, Yaser E. & Ahmed, Kamran, 2013. "A multi-dimensional framework for evaluating the transit service performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 47-61.
  • Handle: RePEc:eee:transa:v:50:y:2013:i:c:p:47-61
    DOI: 10.1016/j.tra.2013.01.041
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    1. 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.
    2. Badami, Madhav G. & Haider, Murtaza, 2007. "An analysis of public bus transit performance in Indian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 961-981, December.
    3. Nathanail, Eftihia, 2008. "Measuring the quality of service for passengers on the hellenic railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 48-66, January.
    4. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, September.
    5. Eboli, Laura & Mazzulla, Gabriella, 2011. "A methodology for evaluating transit service quality based on subjective and objective measures from the passenger's point of view," Transport Policy, Elsevier, vol. 18(1), pages 172-181, January.
    6. Lem, Lewison L. & Li, Jian-Ling & Wachs, Martin, 1994. "Comprehensive Transit Performance Indicators," University of California Transportation Center, Working Papers qt8m272447, University of California Transportation Center.
    7. 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.
    8. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    9. Nakanishi, Yuko J & Falcocchio, John C, 2004. "Performance Assessment Of Intelligent Transportation Systems Using Data Envelopment Analysis," Research in Transportation Economics, Elsevier, vol. 8(1), pages 181-197, January.
    10. Sheth, Chintan & Triantis, Konstantinos & Teodorovic, Dusan, 2007. "Performance evaluation of bus routes: A provider and passenger perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 453-478, July.
    11. 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.
    12. Chu, Xuehao & Fielding, Gordon J. & Lamar, Bruce W., 1992. "Measuring transit performance using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 26(3), pages 223-230, May.
    13. Thomas L. Saaty, 2005. "The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making," International Series in Operations Research & Management Science, in: Multiple Criteria Decision Analysis: State of the Art Surveys, chapter 0, pages 345-405, Springer.
    14. Bertrand Mareschal & Jean Pierre Brans & Philippe Vincke, 1986. "How to select and how to rank projects: the Prométhée method," ULB Institutional Repository 2013/9307, ULB -- Universite Libre de Bruxelles.
    15. Chen, Xumei & Yu, Lei & Zhang, Yushi & Guo, Jifu, 2009. "Analyzing urban bus service reliability at the stop, route, and network levels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 722-734, October.
    16. Brans, J. P. & Vincke, Ph. & Mareschal, B., 1986. "How to select and how to rank projects: The method," European Journal of Operational Research, Elsevier, vol. 24(2), pages 228-238, February.
    17. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    18. 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, Elsevier, vol. 47(6), pages 1140-1159.
    19. Yu, Ming-Miin & Fan, Chih-Ku, 2009. "Measuring the performance of multimode bus transit: A mixed structure network DEA model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(3), pages 501-515, May.
    20. Yeh, Chung-Hsing & Deng, Hepu & Chang, Yu-Hern, 2000. "Fuzzy multicriteria analysis for performance evaluation of bus companies," European Journal of Operational Research, Elsevier, vol. 126(3), pages 459-473, November.
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