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Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris
[L'élaboration d'une solution collaborative de livraisons urbaines en vue d'améliorer la distribution des colis : un modèle à Paris]

Author

Listed:
  • Bruno Durand

    (CEROS - Centre d'Etudes et de Recherches sur les Organisations et la Stratégie - UPN - Université Paris Nanterre)

  • Hakim Akeb
  • Btissam Moncef

    (ESCE International Business School Paris - ESCE International Business School Paris)

Abstract

No abstract is available for this item.

Suggested Citation

  • Bruno Durand & Hakim Akeb & Btissam Moncef, 2018. "Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris [L'élaboration d'une solution collaborative de livraisons urbaines en vu," Post-Print hal-01781155, HAL.
    • Handle: RePEc:hal:journl:hal-01781155
    DOI: 10.1016/j.tre.2018.04.007
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    Citations

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    Cited by:

    1. Milioti, Christina & Pramatari, Katerina & Kelepouri, Ioanna, 2020. "Modelling consumers’ acceptance for the click and collect service," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    2. Guo, Chaojie & Thompson, Russell G. & Foliente, Greg & Kong, Xiang T.R., 2021. "An auction-enabled collaborative routing mechanism for omnichannel on-demand logistics through transshipment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    3. Yu, Yaoqin & Lian, Feng & Yang, Zhongzhen, 2021. "Pricing of parcel locker service in urban logistics by a TSP model of last-mile delivery," Transport Policy, Elsevier, vol. 114(C), pages 206-214.
    4. Laurence Saglietto, 2021. "Bibliometric analysis of sharing economy logistics and crowd logistics," Post-Print halshs-03562657, HAL.
    5. Yuen, Kum Fai & Wang, Xueqin & Ma, Fei & Wong, Yiik Diew, 2019. "The determinants of customers’ intention to use smart lockers for last-mile deliveries," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 316-326.
    6. Boysen, Nils & Emde, Simon & Schwerdfeger, Stefan, 2022. "Crowdshipping by employees of distribution centers: Optimization approaches for matching supply and demand," European Journal of Operational Research, Elsevier, vol. 296(2), pages 539-556.
    7. Chen, Cheng & Demir, Emrah & Huang, Yuan & Qiu, Rongzu, 2021. "The adoption of self-driving delivery robots in last mile logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    8. Mommens, Koen & Buldeo Rai, Heleen & van Lier, Tom & Macharis, Cathy, 2021. "Delivery to homes or collection points? A sustainability analysis for urban, urbanised and rural areas in Belgium," Journal of Transport Geography, Elsevier, vol. 94(C).
    9. Shao, Saijun & Xu, Gangyan & Li, Ming & Huang, George Q., 2019. "Synchronizing e-commerce city logistics with sliding time windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 17-28.
    10. Gläser, Sina, 2022. "A waste collection problem with service type option," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1216-1230.
    11. Yang, Fei & Dai, Ying & Ma, Zu-Jun, 2020. "A cooperative rich vehicle routing problem in the last-mile logistics industry in rural areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    12. Wang, Haibo & Alidaee, Bahram, 2023. "White-glove service delivery: A quantitative analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    13. Xiao, Fei & Wang, Haijun & Guo, Shuojia & Guan, Xu & Liu, Baoshan, 2021. "Efficient and truthful multi-attribute auctions for crowdsourced delivery," International Journal of Production Economics, Elsevier, vol. 240(C).
    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. Wang, Xueqin & Wong, Yiik Diew & Liu, Feng & Yuen, Kum Fai, 2023. "Consumers' paradoxical motives of co-creation: From self-service technology to crowd-sourcing platform," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    16. 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).
    17. 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).
    18. Verheyen, Wouter & Kołacz, Marta K., 2022. "Enhancing safety in B2C delivery chains," Transport Policy, Elsevier, vol. 117(C), pages 12-22.
    19. Chu, Xiang & Liu, Jun & Ren, Long & Gong, Daqing, 2020. "Optimal contract design with a common agency in last-mile logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 139(C).

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