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A general model of demand-responsive transportation services: From taxi to ridesharing to dial-a-ride

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  • Daganzo, Carlos F.
  • Ouyang, Yanfeng

Abstract

The paper presents a general analytic framework to model transit systems that provide door-to-door service. The model includes as special cases non-shared taxi and demand responsive transportation (DRT). In the latter we include both, paratransit services such as dial-a-ride (DAR), and the form of ridesharing (shared taxi) currently being used by crowd-sourced taxi companies like Lyft and Uber. The framework yields somewhat optimistic results because, among other things, it is deterministic and does not track vehicles across space. By virtue of its simplicity, however, the framework yields approximate closed form formulas for many cases of interest.

Suggested Citation

  • Daganzo, Carlos F. & Ouyang, Yanfeng, 2019. "A general model of demand-responsive transportation services: From taxi to ridesharing to dial-a-ride," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 213-224.
    • Handle: RePEc:eee:transb:v:126:y:2019:i:c:p:213-224
    DOI: 10.1016/j.trb.2019.06.001
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    Cited by:

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    5. Rich, Jeppe & Seshadri, Ravi & Jomeh, Ali Jamal & Clausen, Sofus Rasmus, 2023. "Fixed routing or demand-responsive? Agent-based modelling of autonomous first and last mile services in light-rail systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
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    9. (Edward) Kim, Myungseob & Levy, Joshua & Schonfeld, Paul, 2019. "Optimal zone sizes and headways for flexible-route bus services," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 67-81.
    10. Ouyang, Yanfeng & Yang, Haolin, 2023. "Measurement and mitigation of the “wild goose chase” phenomenon in taxi services," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 217-234.
    11. Yi Cao & Shan Wang & Jinyang Li, 2021. "The Optimization Model of Ride-Sharing Route for Ride Hailing Considering Both System Optimization and User Fairness," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    12. Obiora A. Nnene & Johan W. Joubert & Mark H. P. Zuidgeest, 2023. "A simulation-based optimization approach for designing transit networks," Public Transport, Springer, vol. 15(2), pages 377-409, June.
    13. Bahrami, Sina & Nourinejad, Mehdi & Nesheli, Mahmood Mahmoodi & Yin, Yafeng, 2022. "Optimal composition of solo and pool services for on-demand ride-hailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    14. Li, Shukai & Luo, Qi & Hampshire, Robert Cornelius, 2021. "Optimizing large on-demand transportation systems through stochastic conic programming," European Journal of Operational Research, Elsevier, vol. 295(2), pages 427-442.
    15. Daganzo, Carlos F. & Ouyang, Yanfeng & Yang, Haolin, 2020. "Analysis of ride-sharing with service time and detour guarantees," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 130-150.
    16. Rath, Srushti & Liu, Bingqing & Yoon, Gyugeun & Chow, Joseph Y.J., 2023. "Microtransit deployment portfolio management using simulation-based scenario data upscaling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    17. Bürstlein, Johanna & López, David & Farooq, Bilal, 2021. "Exploring first-mile on-demand transit solutions for North American suburbia: A case study of Markham, Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 261-283.
    18. Xiaoyan Wang & Xi Lin & Meng Li, 2021. "Aggregate Modeling and Equilibrium Analysis of the Crowdsourcing Market for Autonomous Vehicles," Papers 2102.07147, arXiv.org.
    19. Xin Li & Wanying Liu & Jingyuan Qiao & Yanhao Li & Jia Hu, 2023. "An Enhanced Semi-Flexible Transit Service with Introducing Meeting Points," Networks and Spatial Economics, Springer, vol. 23(3), pages 487-527, September.
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    21. Andres Fielbaum & Alejandro Tirachini & Javier Alonso-Mora, 2021. "New sources of economies and diseconomies of scale in on-demand ridepooling systems and comparison with public transport," Papers 2106.15270, arXiv.org, revised Jul 2021.

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