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Impacts of management practices and advanced technologies on demand responsive transit systems

Author

Listed:
  • Palmer, Kurt
  • Dessouky, Maged
  • Abdelmaguid, Tamer

Abstract

Over the past 10 years, operating expenses for demand responsive transit (DRT) have more than doubled as demand for this mandated service has expanded. The DRT systems that we studied consist of dial-a-ride programs that transit agencies use for point-to-point pick-up and delivery of the elderly and handicapped. Many advanced technologies and management practices have been proposed and implemented to improve the efficiency of the service; but, evidence for the effectiveness of these actions has been based upon projections or small pilot studies. We present the results of a nationwide study involving 62 transit agencies. Our analysis indicates that the use of paratransit computer aided dispatching (CAD) system and agency service delivery provide a productivity benefit while the use of financial incentives has a detrimental impact on productivity. Also, the use of advanced communication technology has a beneficial impact on operating cost while the use of financial incentives has a detrimental impact.

Suggested Citation

  • Palmer, Kurt & Dessouky, Maged & Abdelmaguid, Tamer, 2004. "Impacts of management practices and advanced technologies on demand responsive transit systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(7), pages 495-509, August.
    • Handle: RePEc:eee:transa:v:38:y:2004:i:7:p:495-509
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    Cited by:

    1. Velaga, Nagendra R. & Beecroft, Mark & Nelson, John D. & Corsar, David & Edwards, Peter, 2012. "Transport poverty meets the digital divide: accessibility and connectivity in rural communities," Journal of Transport Geography, Elsevier, vol. 21(C), pages 102-112.
    2. Palmer, Kurt & Dessouky, Maged & Zhou, Zhiqiang, 2008. "Factors Influencing Productivity and Operating Cost of Demand Responsive Transit," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt86k0b795, Institute of Transportation Studies, UC Berkeley.
    3. Perera, Supun & Ho, Chinh & Hensher, David, 2020. "Resurgence of demand responsive transit services – Insights from BRIDJ trials in Inner West of Sydney, Australia," Research in Transportation Economics, Elsevier, vol. 83(C).
    4. Lu, Quan & Dessouky, Maged M., 2006. "A new insertion-based construction heuristic for solving the pickup and delivery problem with time windows," European Journal of Operational Research, Elsevier, vol. 175(2), pages 672-687, December.
    5. Nguyen-Hoang, Phuong & Yeung, Ryan, 2010. "What is paratransit worth?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 841-853, December.
    6. Palmer, Kurt & Dessouky, Maged & Zhou, Zhiqiang, 2008. "Factors influencing productivity and operating cost of demand responsive transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 503-523, March.
    7. Yang Pan & LiangFei Qiu, 2018. "Is Uber Helping or Hurting Mass Transit? An Empirical Investigation," Working Papers 18-11, NET Institute.
    8. Quadrifoglio, Luca & Dessouky, Maged M. & Ordóñez, Fernando, 2008. "A simulation study of demand responsive transit system design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 718-737, May.
    9. Qiu, Feng & Shen, Jinxing & Zhang, Xuechi & An, Chengchuan, 2015. "Demi-flexible operating policies to promote the performance of public transit in low-demand areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 215-230.
    10. Behrens, Roger & McCormick, Dorothy & Orero, Risper & Ommeh, Marilyn, 2017. "Improving paratransit service: Lessons from inter-city matatu cooperatives in Kenya," Transport Policy, Elsevier, vol. 53(C), pages 79-88.
    11. Bonner, Taylor & Miller-Hooks, Elise, 2023. "Achieving equitable outcomes through optimal design in the development of microtransit zones," Journal of Transport Geography, Elsevier, vol. 112(C).
    12. Konstantinos Zografos & Konstantinos Androutsopoulos & Teemu Sihvola, 2008. "A methodological approach for developing and assessing business models for flexible transport systems," Transportation, Springer, vol. 35(6), pages 777-795, November.
    13. Brake, Jenny & Mulley, Corinne & Nelson, John D. & Wright, Steve, 2007. "Key lessons learned from recent experience with Flexible Transport Services," Transport Policy, Elsevier, vol. 14(6), pages 458-466, November.
    14. Feitelson, Eran & Cohen-Blankshtain, Galit, 2018. "Public transport planning in a spatially segmented city: The case of Jerusalem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 65-74.
    15. Babak Mehran & Yongzhe Yang & Sushreeta Mishra, 2020. "Analytical models for comparing operational costs of regular bus and semi-flexible transit services," Public Transport, Springer, vol. 12(1), pages 147-169, March.
    16. Mercado, Ruben & Páez, Antonio & Newbold, K. Bruce, 2010. "Transport policy and the provision of mobility options in an aging society: a case study of Ontario, Canada," Journal of Transport Geography, Elsevier, vol. 18(5), pages 649-661.
    17. Dessouky, Maged M. & Ordóñez, Fernando & Quadrifoglio, Luca, 2005. "Productivity and Cost-Effectiveness of Demand Responsive Transit Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9qj1d5s0, Institute of Transportation Studies, UC Berkeley.
    18. Deka, Devajyoti, 2014. "An exploration of the environmental and rider characteristics associated with disability paratransit trip delay," Journal of Transport Geography, Elsevier, vol. 38(C), pages 75-87.
    19. Marković, Nikola & Kim, Myungseob (Edward) & Schonfeld, Paul, 2016. "Statistical and machine learning approach for planning dial-a-ride systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 41-55.
    20. Zahra Navidi & Nicole Ronald & Stephan Winter, 2018. "Comparison between ad-hoc demand responsive and conventional transit: a simulation study," Public Transport, Springer, vol. 10(1), pages 147-167, May.
    21. Zhao, Jiamin & Dessouky, Maged, 2008. "Service capacity design problems for mobility allowance shuttle transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 42(2), pages 135-146, February.
    22. Hai Wang, 2019. "Routing and Scheduling for a Last-Mile Transportation System," Service Science, INFORMS, vol. 53(1), pages 131-147, February.
    23. Diana, Marco & Dessouky, Maged M. & Xia, Nan, 2006. "A model for the fleet sizing of demand responsive transportation services with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 651-666, September.
    24. Yang Pan & Liangfei Qiu, 2022. "How Ride‐Sharing Is Shaping Public Transit System: A Counterfactual Estimator Approach," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 906-927, March.

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