IDEAS home Printed from https://ideas.repec.org/a/eee/transb/v189y2024ics0191261524001164.html
   My bibliography  Save this article

Optimal operation strategies of an urban crowdshipping platform in asset-light, asset-medium, or asset-heavy business format

Author

Listed:
  • Zhang, Zhuoye
  • Zhang, Fangni

Abstract

This paper investigates the operation strategies of an urban crowdshipping platform, which utilizes the latent capacity of the traveling ‘crowd’ in the transportation system to facilitate parcel delivery. We develop an analytical model to characterize the decision-making and operation strategies of a crowdshipping operator in alternative business formats (asset-light/medium/heavy). Asset-light platforms connect customers with potential carriers in the crowd without involving delivery assets, whereas asset-medium and asset-heavy operators integrate crowd carriers with outsourced or owned delivery fleets, respectively. In particular, we firstly formulate the two-sided market equilibrium of crowdshipping system on account of customers’ willingness to use and crowds’ willingness to serve. Based on the market equilibrium, the crowdshipping operator’s optimal strategies in terms of pricing and/or fleet sizing are identified for profit-maximization or social welfare-maximization in alternative business formats. We show that the introduction of crowdshipping can simultaneously improve the benefits of logistics customers, the crowd, and the crowdshipping platform operator, leading to a win-win-win outcome. Furthermore, we establish analytical conditions for one business format being superior to another. We find that if the externality (or marginal social cost) of an unmatched order is smaller in a particular business format, it will result in larger consumer surplus for customers, greater net benefit for crowd carriers, and more profit for crowdshipping operator. Under mild conditions, the crowdshipping operator adopting the asset-light or asset-medium format can earn a positive profit at the social optimum.

Suggested Citation

  • Zhang, Zhuoye & Zhang, Fangni, 2024. "Optimal operation strategies of an urban crowdshipping platform in asset-light, asset-medium, or asset-heavy business format," Transportation Research Part B: Methodological, Elsevier, vol. 189(C).
  • Handle: RePEc:eee:transb:v:189:y:2024:i:c:s0191261524001164
    DOI: 10.1016/j.trb.2024.102992
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0191261524001164
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.trb.2024.102992?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fuente,Angel de la, 2000. "Mathematical Methods and Models for Economists," Cambridge Books, Cambridge University Press, number 9780521585293, January.
    2. Jiaru Bai & Kut C. So & Christopher S. Tang & Xiqun (Michael) Chen & Hai Wang, 2019. "Coordinating Supply and Demand on an On-Demand Service Platform with Impatient Customers," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 556-570, July.
    3. Ke, Jintao & Yang, Hai & Zheng, Zhengfei, 2020. "On ride-pooling and traffic congestion," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 213-231.
    4. Xu, Zhengtian & Yin, Yafeng & Ye, Jieping, 2020. "On the supply curve of ride-hailing systems," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 29-43.
    5. Yang, Hai & Yang, Teng, 2011. "Equilibrium properties of taxi markets with search frictions," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 696-713, May.
    6. Li, Jia & Chen, Di & Zhang, Michael, 2022. "Equilibrium modeling of mixed autonomy traffic flow based on game theory," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 110-127.
    7. Zhang, Kenan & Nie, Yu (Marco), 2021. "Inter-platform competition in a regulated ride-hail market with pooling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    8. Arnott, Richard, 2007. "Congestion tolling with agglomeration externalities," Journal of Urban Economics, Elsevier, vol. 62(2), pages 187-203, September.
    9. Amirmahdi Tafreshian & Neda Masoud & Yafeng Yin, 2020. "Frontiers in Service Science: Ride Matching for Peer-to-Peer Ride Sharing: A Review and Future Directions," Service Science, INFORMS, vol. 12(2-3), pages 44-60, June.
    10. Ma, Mingyou & Zhang, Fangni & Liu, Wei & Dixit, Vinayak, 2022. "A game theoretical analysis of metro-integrated city logistics systems," Transportation Research Part B: Methodological, Elsevier, vol. 156(C), pages 14-27.
    11. Tho V. Le & Satish V. Ukkusuri, 2019. "Influencing factors that determine the usage of the crowd-shipping services," Papers 1902.08681, arXiv.org.
    12. Ke, Jintao & Yang, Hai & Li, Xinwei & Wang, Hai & Ye, Jieping, 2020. "Pricing and equilibrium in on-demand ride-pooling markets," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 411-431.
    13. Wei Qi & Lefei Li & Sheng Liu & Zuo-Jun Max Shen, 2018. "Shared Mobility for Last-Mile Delivery: Design, Operational Prescriptions, and Environmental Impact," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 737-751, October.
    14. Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    15. Yang, Hai & Qin, Xiaoran & Ke, Jintao & Ye, Jieping, 2020. "Optimizing matching time interval and matching radius in on-demand ride-sourcing markets," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 84-105.
    16. Arnott, Richard & Inci, Eren, 2006. "An integrated model of downtown parking and traffic congestion," Journal of Urban Economics, Elsevier, vol. 60(3), pages 418-442, November.
    17. Chenglong Zhang & Jianqing Chen & Srinivasan Raghunathan, 2022. "Two-Sided Platform Competition in a Sharing Economy," Management Science, INFORMS, vol. 68(12), pages 8909-8932, December.
    18. Li, Manzi & Jiang, Gege & Lo, Hong K., 2022. "Pricing strategy of ride-sourcing services under travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    19. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.
    20. Arnott, Richard & Hochman, Oded & Rausser, Gordon C., 2008. "Pollution and land use: Optimum and decentralization," Journal of Urban Economics, Elsevier, vol. 64(2), pages 390-407, September.
    21. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2020. "Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1031-1042.
    22. Tafreshian, Amirmahdi & Masoud, Neda, 2022. "A truthful subsidy scheme for a peer-to-peer ridesharing market with incomplete information," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 130-161.
    23. Wang, Xiaolei & He, Fang & Yang, Hai & Oliver Gao, H., 2016. "Pricing strategies for a taxi-hailing platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 212-231.
    24. Zhang, Fangni & Lindsey, Robin & Yang, Hai & Shao, Chaoyi & Liu, Wei, 2022. "Two-sided pricing strategies for a parking sharing platform: Reselling or commissioning?," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 40-63.
    25. Inci, Eren & Lindsey, Robin, 2015. "Garage and curbside parking competition with search congestion," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 49-59.
    26. Li, Baicheng & Szeto, W.Y., 2021. "Modeling and analyzing a taxi market with a monopsony taxi owner and multiple rentee-drivers," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 1-22.
    27. Ghilas, Veaceslav & Demir, Emrah & Woensel, Tom Van, 2016. "A scenario-based planning for the pickup and delivery problem with time windows, scheduled lines and stochastic demands," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 34-51.
    28. Rey, David & Dixit, Vinayak V. & Ygnace, Jean-Luc & Waller, S. Travis, 2016. "An endogenous lottery-based incentive mechanism to promote off-peak usage in congested transit systems," Transport Policy, Elsevier, vol. 46(C), pages 46-55.
    29. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    30. Fatnassi, Ezzeddine & Chaouachi, Jouhaina & Klibi, Walid, 2015. "Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 440-460.
    31. Zoë Cullen & Chiara Farronato, 2021. "Outsourcing Tasks Online: Matching Supply and Demand on Peer-to-Peer Internet Platforms," Management Science, INFORMS, vol. 67(7), pages 3985-4003, July.
    32. Xiao, Haohan & Xu, Min & Wang, Shuaian, 2023. "A game-theoretic model for crowd-shipping operations with profit improvement strategies," International Journal of Production Economics, Elsevier, vol. 262(C).
    33. Cebeci, Merve Seher & Tapia, Rodrigo Javier & Kroesen, Maarten & de Bok, Michiel & Tavasszy, Lóránt, 2023. "The effect of trust on the choice for crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    34. Archetti, Claudia & Savelsbergh, Martin & Speranza, M. Grazia, 2016. "The Vehicle Routing Problem with Occasional Drivers," European Journal of Operational Research, Elsevier, vol. 254(2), pages 472-480.
    35. Kung, Ling-Chieh & Zhong, Guan-Yu, 2017. "The optimal pricing strategy for two-sided platform delivery in the sharing economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 1-12.
    36. Kafle, Nabin & Zou, Bo & Lin, Jane, 2017. "Design and modeling of a crowdsource-enabled system for urban parcel relay and delivery," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 62-82.
    37. Alireza Ermagun & Ali Shamshiripour & Amanda Stathopoulos, 2020. "Performance analysis of crowd-shipping in urban and suburban areas," Transportation, Springer, vol. 47(4), pages 1955-1985, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Xinwei & Ke, Jintao & Yang, Hai & Wang, Hai & Zhou, Yaqian, 2024. "An aggregate matching and pick-up model for mobility-on-demand services," Transportation Research Part B: Methodological, Elsevier, vol. 190(C).
    2. Ke, Jintao & Chen, Xiqun (Michael) & Yang, Hai & Li, Sen, 2022. "Coordinating supply and demand in ride-sourcing markets with pre-assigned pooling service and traffic congestion externality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    3. Beojone, Caio Vitor & Geroliminis, Nikolas, 2023. "A dynamic multi-region MFD model for ride-sourcing with ridesplitting," Transportation Research Part B: Methodological, Elsevier, vol. 177(C).
    4. Ke, Jintao & Wang, Ce & Li, Xinwei & Tian, Qiong & Huang, Hai-Jun, 2024. "Equilibrium analysis for on-demand food delivery markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    5. He, Shan & Dai, Ying & Ma, Zu-Jun, 2023. "To offer or not to offer? The optimal value-insured strategy for crowdsourced delivery platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    6. Zhou, Yaqian & Ke, Jintao & Yang, Hai & Guo, Pengfei, 2024. "Platform integration in ride-sourcing markets with heterogeneous passengers," Transportation Research Part B: Methodological, Elsevier, vol. 188(C).
    7. Zhu, Zheng & Xu, Ailing & He, Qiao-Chu & Yang, Hai, 2021. "Competition between the transportation network company and the government with subsidies to public transit riders," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    8. Li, Manzi & Jiang, Gege & Lo, Hong K., 2022. "Pricing strategy of ride-sourcing services under travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    9. Ji, Yuxiong & Zhou, Minhang & Zheng, Yujing & Shen, Yu & Du, Yuchuan, 2024. "Urban passenger-and-package sharing transportation by e-hailing taxis: A simulation-based pricing analysis in shanghai," Transport Policy, Elsevier, vol. 156(C), pages 138-151.
    10. Zhang, Kenan & Nie, Yu (Marco), 2022. "Mitigating traffic congestion induced by transportation network companies: A policy analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 96-118.
    11. Li, Manzi & Jiang, Gege & Lo, Hong K., 2023. "Optimal cancellation penalty for competing ride-sourcing platforms under waiting time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    12. Li, Xiaonan & Li, Xiangyong & Wang, Hai & Shi, Junxin & Aneja, Y.P., 2022. "Supply regulation under the exclusion policy in a ride-sourcing market," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 69-94.
    13. Sun, Luoyi & Teunter, Ruud H. & Hua, Guowei & Wu, Tian, 2020. "Taxi-hailing platforms: Inform or Assign drivers?," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 197-212.
    14. Ye, Anke & Zhang, Kenan & Chen, Xiqun (Michael) & Bell, Michael G.H. & Lee, Der-Horng & Hu, Simon, 2024. "Modeling and managing an on-demand meal delivery system with order bundling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    15. Yang, Dingtong & Hyland, Michael F. & Jayakrishnan, R., 2024. "Tackling the crowdsourced shared-trip delivery problem at scale with a novel decomposition heuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    16. Ke, Jintao & Li, Xinwei & Yang, Hai & Yin, Yafeng, 2021. "Pareto-efficient solutions and regulations of congested ride-sourcing markets with heterogeneous demand and supply," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    17. Meijian Yang & Enjun Xia, 2021. "A Systematic Literature Review on Pricing Strategies in the Sharing Economy," Sustainability, MDPI, vol. 13(17), pages 1-28, August.
    18. Yang, Jie & Zhao, Daozhi & Wang, Zeyu & Xu, Chunqiu, 2022. "Impact of regulation on on-demand ride-sharing service: Profit-based target vs demand-based target," Research in Transportation Economics, Elsevier, vol. 92(C).
    19. Huang, Guan & Liang, Yuebing & Zhao, Zhan, 2023. "Understanding market competition between transportation network companies using big data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    20. Bahrami, Sina & Nourinejad, Mehdi & Yin, Yafeng & Wang, Hai, 2023. "The three-sided market of on-demand delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transb:v:189:y:2024:i:c:s0191261524001164. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/548/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.