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Crowdshipping in last mile deliveries: Operational challenges and research opportunities

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  • Pourrahmani, Elham
  • Jaller, Miguel

Abstract

This paper contributes to the emerging body of research on crowdshipping, which is a collaborative strategy that distributes delivery tasks to a mass of actors that act as ordinary couriers, aiming at reducing delivery costs and supporting sustainability. The study focuses on last mile delivery activities, where numerous app-based delivery platforms have recently emerged. The paper provides an overview of the operational characteristics of these platforms based on an in-depth study of a sample of major crowdshipping services (state-of-practice) and a comprehensive review of the state-of-research. After comparing platform services and characteristics, we identified four core (typological) factors that differentiate services: platform (service) type, delivery type, delivery mode, and pricing strategy; and six categories for service challenges and opportunities. Moreover, the review of the state-of-research synthesized their findings with respect to the identified practical challenges to discover opportunities for future work. Overall, the study found that there is a mismatch between practical challenges and scientific solutions. The literature has not addressed all challenges identified in practice, such as couriers’ work conditions and pricing, which are still unresolved issues. The majority of articles were exploratory in nature with their findings based on hypothetical random instances. More research is needed with empirical case studies to evaluate the service net effects on each actor (e.g., senders, receivers, couriers, and platforms) in particular, and on the society in general, in terms of traffic externalities, quality of life, cost and revenue. The paper ends with a discussion of promising areas for future research.

Suggested Citation

  • Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
  • Handle: RePEc:eee:soceps:v:78:y:2021:i:c:s0038012121000550
    DOI: 10.1016/j.seps.2021.101063
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    3. Lucie Letrouit & Martin Koning, 2023. "How large are the costs of local pollution emitted by freight vehicles? Insights from the COVID-19 lockdown in Paris," Working Papers hal-04106196, HAL.
    4. Changbing Jiang & Jiaming Xu & Shufang Li & Yulian Fei & Yao Wu, 2022. "Profit Allocation Problem and Algorithm of Network Freight Platform under Carbon Trading Background," IJERPH, MDPI, vol. 19(22), pages 1-23, November.
    5. Giacomo Lozzi & Gabriele Iannaccone & Ila Maltese & Valerio Gatta & Edoardo Marcucci & Riccardo Lozzi, 2022. "On-Demand Logistics: Solutions, Barriers, and Enablers," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    6. Ana Bricia Galindo-Muro & Riccardo Cespi & Stephany Isabel Vallarta-Serrano, 2023. "Applications of Electric Vehicles in Instant Deliveries," Energies, MDPI, vol. 16(4), pages 1-18, February.
    7. Di Puglia Pugliese, Luigi & Ferone, Daniele & Macrina, Giusy & Festa, Paola & Guerriero, Francesca, 2023. "The crowd-shipping with penalty cost function and uncertain travel times," Omega, Elsevier, vol. 115(C).
    8. Pahwa, Anmol & Jaller, Miguel, 2022. "A cost-based comparative analysis of different last-mile strategies for e-commerce delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    9. Pahwa, Anmol & Jaller, Miguel, 2023. "Assessing last-mile distribution resilience under demand disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    10. Jose Alejandro Cano & Abraham Londoño-Pineda & Maria Fanny Castro & Hugo Bécquer Paz & Carolina Rodas & Tatiana Arias, 2022. "A Bibliometric Analysis and Systematic Review on E-Marketplaces, Open Innovation, and Sustainability," Sustainability, MDPI, vol. 14(9), pages 1-42, May.
    11. Xiao, Haohan & Xu, Min & Wang, Shuaian, 2023. "Crowd-shipping as a Service: Game-based operating strategy design and analysis," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
    12. Jaller, Miguel & Pahwa, Anmol, 2023. "Coping with the Rise of E-commerce Generated Home Deliveries through Innovative Last-mile Technologies and Strategies," Institute of Transportation Studies, Working Paper Series qt5t76x0kh, Institute of Transportation Studies, UC Davis.

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