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Using the Crowd of Taxis to Last Mile Delivery in E-Commerce: a methodological research

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)

Abstract

Crowdsourcing is gathering increased attention in freight transport areas, mainly applied in internet-based services to city logistics. However, scientific research, especially methodology for application is still rare in the literature. This paper aims to fill this gap and proposes a methodological approach of applying crowdsourcing solution to Last Mile Delivery in E-commerce environment. The proposed solution is based on taxi fleet in city and a transport network composed by road network and customer self-pickup facilities that are 24/7 shops in city, named as TaxiCrowdShipping system. The system relies on a two-phase decision model, first offline taxi trajectory mining and second online package routing and taxi scheduling. Being the first stage of our study, this paper introduces the framework of the system and the decision model development. Some expected results and research perspectives are also discussed.

Suggested Citation

  • Chao Chen & Shenle Pan, 2016. "Using the Crowd of Taxis to Last Mile Delivery in E-Commerce: a methodological research," Post-Print hal-01480533, HAL.
    • Handle: RePEc:hal:journl:hal-01480533
    DOI: 10.1007/978-3-319-30337-6_6
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    Citations

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    Cited by:

    1. Nils Boysen & Stefan Fedtke & Stefan Schwerdfeger, 2021. "Last-mile delivery concepts: a survey from an operational research perspective," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 1-58, March.
    2. Juan Guillermo Urzúa-Morales & Juan Pedro Sepulveda-Rojas & Miguel Alfaro & Guillermo Fuertes & Rodrigo Ternero & Manuel Vargas, 2020. "Logistic Modeling of the Last Mile: Case Study Santiago, Chile," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    3. 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.
    4. Adriana Giret & Carlos Carrascosa & Vicente Julian & Miguel Rebollo & Vicente Botti, 2018. "A Crowdsourcing Approach for Sustainable Last Mile Delivery," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    5. Mario Binetti & Leonardo Caggiani & Rosalia Camporeale & Michele Ottomanelli, 2019. "A Sustainable Crowdsourced Delivery System to Foster Free-Floating Bike-Sharing," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    6. 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).
    7. Cleophas, Catherine & Cottrill, Caitlin & Ehmke, Jan Fabian & Tierney, Kevin, 2019. "Collaborative urban transportation: Recent advances in theory and practice," European Journal of Operational Research, Elsevier, vol. 273(3), pages 801-816.
    8. Malik, Leeza & Tiwari, Geetam & Biswas, Udayin & Woxenius, Johan, 2021. "Estimating urban freight flow using limited data: The case of Delhi, India," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    9. Le, Tho V. & Ukkusuri, Satish V. & Xue, Jiawei & Van Woensel, Tom, 2021. "Designing pricing and compensation schemes by integrating matching and routing models for crowd-shipping systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    10. Joel Serey & Luis Quezada & Miguel Alfaro & Guillermo Fuertes & Rodrigo Ternero & Gustavo Gatica & Sebastian Gutierrez & Manuel Vargas, 2020. "Methodological Proposals for the Development of Services in a Smart City: A Literature Review," Sustainability, MDPI, vol. 12(24), pages 1-28, December.
    11. 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).
    12. Zhangyuan He & Hans-Dietrich Haasis, 2019. "Integration of Urban Freight Innovations: Sustainable Inner-Urban Intermodal Transportation in the Retail/Postal Industry," Sustainability, MDPI, vol. 11(6), pages 1-25, March.

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