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Analysis of ride-sharing with service time and detour guarantees

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  • Daganzo, Carlos F.
  • Ouyang, Yanfeng
  • Yang, Haolin

Abstract

This paper explores whether upper bound guarantees to detour distances can be introduced in ride sharing services. By ride sharing we mean taxi ride aggregation services such as Uber-Pool. The paper develops an analytical model that for a given demand relates the guarantee levels to (i) the percent of rides that can be matched, (ii) the expected vehicle distance traveled; (iii) the expected passenger distance traveled; (iv) the fleet size required, and (v) the average passenger trip time including waiting and riding. The formulas developed reveal that for the full range of feasible fleet sizes, ridesharing with detour distance guarantees outperforms both ordinary ride-sharing and ordinary taxi. This suggests that there is a business opportunity that is not currently being exploited.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:140:y:2020:i:c:p:130-150
    DOI: 10.1016/j.trb.2020.07.005
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    References listed on IDEAS

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    Cited by:

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    2. Yining Liu & Yanfeng Ouyang, 2022. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Papers 2208.02219, arXiv.org, revised Jun 2023.
    3. 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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    5. Liu, Yining & Ouyang, Yanfeng, 2023. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    6. 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.
    7. Wang, Jun & Wang, Xiaolei & Yang, Shan & Yang, Hai & Zhang, Xiaoning & Gao, Ziyou, 2021. "Predicting the matching probability and the expected ride/shared distance for each dynamic ridepooling order: A mathematical modeling approach," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 125-146.
    8. Liu, Yining & Ouyang, Yanfeng, 2021. "Mobility service design via joint optimization of transit networks and demand-responsive services," Transportation Research Part B: Methodological, Elsevier, vol. 151(C), pages 22-41.
    9. Atour Taghipour & Mohammad Ramezani & Moein Khazaei & Vahid Roohparvar & Erfan Hassannayebi, 2023. "Smart Transportation Behavior through the COVID-19 Pandemic: A Ride-Hailing System in Iran," Sustainability, MDPI, vol. 15(5), pages 1-23, February.
    10. Fayed, Lynn & Nilsson, Gustav & Geroliminis, Nikolas, 2023. "On the utilization of dedicated bus lanes for pooled ride-hailing services," Transportation Research Part B: Methodological, Elsevier, vol. 169(C), pages 29-52.
    11. Ouyang, Yanfeng & Yang, Haolin & Daganzo, Carlos F., 2021. "Performance of reservation-based carpooling services under detour and waiting time restrictions," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 370-385.

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