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Agent-based model of last-mile parcel deliveries and travel demand incorporating online shopping behavior

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  • Reiffer, Anna S.
  • Kübler, Jelle
  • Kagerbauer, Martin
  • Vortisch, Peter

Abstract

In this paper, we present an extension of the agent-based travel demand model mobiTopp with a last-mile parcel delivery module called logiTopp, in which online shopping choice is modeled explicitly. Online shopping behavior is modeled using logistic and Poisson regression models, which consider both the socio-demographic characteristics of the customer and aspects of their travel behavior. As mobiTopp is a framework that simulates travel demand over one week, we are able to capture interactions between travel behavior and online shopping that do not become apparent in single-day simulations.

Suggested Citation

  • Reiffer, Anna S. & Kübler, Jelle & Kagerbauer, Martin & Vortisch, Peter, 2023. "Agent-based model of last-mile parcel deliveries and travel demand incorporating online shopping behavior," Research in Transportation Economics, Elsevier, vol. 102(C).
    • Handle: RePEc:eee:retrec:v:102:y:2023:i:c:s0739885923001087
    DOI: 10.1016/j.retrec.2023.101368
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    1. Cheng Cheng & Takanori Sakai & André Alho & Lynette Cheah & Moshe Ben-Akiva, 2021. "Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand," Logistics, MDPI, vol. 5(2), pages 1-13, May.
    2. Roorda, Matthew J. & Cavalcante, Rinaldo & McCabe, Stephanie & Kwan, Helen, 2010. "A conceptual framework for agent-based modelling of logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 18-31, January.
    3. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
    4. Yu Ding & Huapu Lu, 2017. "The interactions between online shopping and personal activity travel behavior: an analysis with a GPS-based activity travel diary," Transportation, Springer, vol. 44(2), pages 311-324, March.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    6. Yael Deutsch & Boaz Golany, 2018. "A parcel locker network as a solution to the logistics last mile problem," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 251-261, January.
    7. Esra Suel & John W. Polak, 2018. "Incorporating online shopping into travel demand modelling: challenges, progress, and opportunities," Transport Reviews, Taylor & Francis Journals, vol. 38(5), pages 576-601, September.
    8. Farag, Sendy & Schwanen, Tim & Dijst, Martin & Faber, Jan, 2007. "Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 125-141, February.
    9. Holguín-Veras, José & Aros-Vera, Felipe & Browne, Michael, 2015. "Agent interactions and the response of supply chains to pricing and incentives," Economics of Transportation, Elsevier, vol. 4(3), pages 147-155.
    10. Takanori Sakai & Yusuke Hara & Ravi Seshadri & André Romano Alho & Md Sami Hasnine & Peiyu Jing & ZhiYuan Chua & Moshe Ben-Akiva, 2022. "Household-based E-commerce demand modeling for an agent-based urban transportation simulation platform," Transportation Planning and Technology, Taylor & Francis Journals, vol. 45(2), pages 179-201, February.
    11. Sakai, Takanori & Romano Alho, André & Bhavathrathan, B.K. & Chiara, Giacomo Dalla & Gopalakrishnan, Raja & Jing, Peiyu & Hyodo, Tetsuro & Cheah, Lynette & Ben-Akiva, Moshe, 2020. "SimMobility Freight: An agent-based urban freight simulator for evaluating logistics solutions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    12. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    13. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    14. Zhou, Yiwei & Wang, Xiaokun (Cara), 2014. "Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 1-9.
    15. Cao, Xinyu (Jason), 2012. "The relationships between e-shopping and store shopping in the shopping process of search goods," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 993-1002.
    16. Vakulenko, Yulia & Hellström, Daniel & Hjort, Klas, 2018. "What's in the parcel locker? Exploring customer value in e-commerce last mile delivery," Journal of Business Research, Elsevier, vol. 88(C), pages 421-427.
    17. Roberta Alves & Renato da Silva Lima & David Custódio de Sena & Alexandre Ferreira de Pinho & José Holguín-Veras, 2019. "Agent-Based Simulation Model for Evaluating Urban Freight Policy to E-Commerce," Sustainability, MDPI, vol. 11(15), pages 1-19, July.
    18. Alexander Rossolov & Halyna Rossolova & José Holguín-Veras, 2021. "Online and in-store purchase behavior: shopping channel choice in a developing economy," Transportation, Springer, vol. 48(6), pages 3143-3179, December.
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    More about this item

    Keywords

    Agent-based; E-commerce; Urban freight; Travel demand; Last-mile delivery;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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