IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01300487.html
   My bibliography  Save this paper

Using taxis to collect citywide E-commerce reverse flows: a crowdsourcing solution

Author

Listed:
  • Chao Chen
  • Shenle Pan

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Zhu Wang
  • Ray Y. Zhong

Abstract

The popularity of round-the-clock online shopping urges the rapid growth of e-commerce, which substantially generates additional parcels for the distribution on the forward side. On the other hand, collecting the returned goods on the revere side is also increasingly becoming a preoccupation, particularly in the crowd and dense metropolitan areas. Inspired by the concepts of Crowdsourcing and Physical Internet,we propose an innovative solution to collect the e-commerce returned goods from final consumption points back to retailers.As an alternative to traditional ways, this solution delivers the returned goods and passengers in an integrated way by leveraging the extra loading capacity and constant mobility provided by taxis that are already reserved to transport passengers. Thus, it could simultaneously migrate the negative economical, environmental and social impacts of reverse flows management. To address the issue of the returned goods collection, we first conduct the qualitative and quantitative study, and further investigate the feasibility and viability of the solution based on three real-world datasets, which consist of locations of shops, a road network and a large-scale trajectory data generated by over 7000 taxis in a month in the city of Hangzhou, China. Three collection strategies are proposed and evaluated. Experimental results generate several useful insights into the implementability and managerial issues of the proposed solution.

Suggested Citation

  • Chao Chen & Shenle Pan & Zhu Wang & Ray Y. Zhong, 2017. "Using taxis to collect citywide E-commerce reverse flows: a crowdsourcing solution," Post-Print hal-01300487, HAL.
  • Handle: RePEc:hal:journl:hal-01300487
    DOI: 10.1080/00207543.2016.1173258
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Xin & Huang, George Q., 2021. "When and how to share first-mile parcel collection service," European Journal of Operational Research, Elsevier, vol. 288(1), pages 153-169.
    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. Lin Zhou & Yanping Chen & Yi Jing & Youwei Jiang, 2021. "Evolutionary Game Analysis on Last Mile Delivery Resource Integration—Exploring the Behavioral Strategies between Logistics Service Providers, Property Service Companies and Customers," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    4. Wenjie Wang & Lei Xie, 2022. "Optimal pricing of crowdsourcing logistics services with social delivery capacity," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1447-1469, July.
    5. Nieto-Isaza, Santiago & Fontaine, Pirmin & Minner, Stefan, 2022. "The value of stochastic crowd resources and strategic location of mini-depots for last-mile delivery: A Benders decomposition approach," Transportation Research Part B: Methodological, Elsevier, vol. 157(C), pages 62-79.
    6. Xiao Lin & Yoshinari Nishiki & Lóránt A. Tavasszy, 2020. "Performance and Intrusiveness of Crowdshipping Systems: An Experiment with Commuting Cyclists in The Netherlands," Sustainability, MDPI, vol. 12(17), pages 1-14, September.
    7. Lafkihi, Mariam & Pan, Shenle & Ballot, Eric, 2019. "Freight transportation service procurement: A literature review and future research opportunities in omnichannel E-commerce," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 348-365.
    8. Seghezzi, Arianna & Siragusa, Chiara & Tumino, Angela & Mangiaracina, Riccardo, 2021. "Investigating the return cost for B2C e-commerce," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 169-192, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    9. Mashalah, Heider Al & Hassini, Elkafi & Gunasekaran, Angappa & Bhatt (Mishra), Deepa, 2022. "The impact of digital transformation on supply chains through e-commerce: Literature review and a conceptual framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    10. Yıldız, Barış, 2021. "Package routing problem with registered couriers and stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    11. Orenstein, Ido & Raviv, Tal, 2022. "Parcel delivery using the hyperconnected service network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(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:hal:journl:hal-01300487. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.