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Factors influencing productivity and operating cost of demand responsive transit

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  • Palmer, Kurt
  • Dessouky, Maged
  • Zhou, Zhiqiang

Abstract

Since the enactment of the Americans with Disabilities Act in 1991 operating expenses for demand responsive transit have more than doubled as demand for this mandated service has expanded. 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 67 large transit agencies. We evaluate the impact of implemented technologies and practices upon productivity and operating cost.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transa:v:42:y:2008:i:3:p:503-523
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    References listed on IDEAS

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    1. Dessouky, Maged & Palmer, Kurt & Abdelmaguid, Tamer, 2003. "Benchmarking Best Practices of Demand Responsive Transit Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3c77b9wd, Institute of Transportation Studies, UC Berkeley.
    2. 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.
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    Cited by:

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    2. 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.
    3. 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.
    4. 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.
    5. Mishra, Sushreeta & Mehran, Babak & Sahu, Prasanta K., 2020. "Assessment of delivery models for semi-flexible transit operation in low-demand conditions," Transport Policy, Elsevier, vol. 99(C), pages 275-287.

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