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Optimization of demand-responsive transit systems using zonal strategy

Author

Listed:
  • Lin Wang
  • S. C. Wirasinghe
  • Lina Kattan
  • Saeid Saidi

Abstract

A mathematical model was developed and applied to optimize many to one demand-responsive transit (DRT) systems using a zonal strategy. Such a DRT system provides service between a residential area and a terminal. The model is used to design the transit system, with its terminal sitting within the service area, by minimizing costs that are separately generated in service zones. The decision variables are area of service zone and bus headway. Also stepwise procedures are derived to geographically and sequentially divide the service area into a number of service zones with optimal areas. A case study is conducted for a presumptive demand-responsive transit system operating in northwest Calgary, showing that the model can successfully assist in designing demand-responsive transit systems.

Suggested Citation

  • Lin Wang & S. C. Wirasinghe & Lina Kattan & Saeid Saidi, 2018. "Optimization of demand-responsive transit systems using zonal strategy," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 22(3), pages 366-381, July.
    • Handle: RePEc:taf:rjusxx:v:22:y:2018:i:3:p:366-381
    DOI: 10.1080/12265934.2018.1431144
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    Citations

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    Cited by:

    1. 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.
    2. András Lakatos & János Tóth & Péter Mándoki, 2020. "Demand Responsive Transport Service of ‘Dead-End Villages’ in Interurban Traffic," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    3. Xudong Li & Zhongzhen Yang & Feng Lian, 2023. "Optimizing On-Demand Bus Services for Remote Areas," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    4. GALARZA MONTENEGRO, Bryan David & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter, 2023. "A demand-responsive feeder service with a maximum headway at mandatory stops," Working Papers 2023001, University of Antwerp, Faculty of Business and Economics.
    5. Militão, Aitan M. & Tirachini, Alejandro, 2021. "Optimal fleet size for a shared demand-responsive transport system with human-driven vs automated vehicles: A total cost minimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 52-80.

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