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Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand

Author

Listed:
  • Cheng Cheng

    (Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore)

  • Takanori Sakai

    (Department of Logistics and Information Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan)

  • André Alho

    (Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA)

  • Lynette Cheah

    (Engineering Systems and Design, Singapore University of Technology and Design, Singapore 487372, Singapore)

  • Moshe Ben-Akiva

    (Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA)

Abstract

The rapid growth in online shopping and associated parcel deliveries prompts investigation of the factors that contribute to parcel delivery demand. In this study, we evaluated the influence of locational and household characteristics on e-commerce home delivery demand. While past research has largely focused on the impacts of the adoption of online shopping using individual/household survey data, we made use of data from an e-commerce carrier. A linear regression model was estimated considering factors such as degree of urbanization, transit and shopping accessibility, and household attributes. The results both confirm and contradict prior research findings, highlighting the potential for a non-negligible influence of the local context on demand for parcel deliveries.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:2:p:29-:d:555893
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    References listed on IDEAS

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    1. Snežana Tadić & Mladen Krstić & Željko Stević & Miloš Veljović, 2023. "Locating Collection and Delivery Points Using the p -Median Location Problem," Logistics, MDPI, vol. 7(1), pages 1-17, February.
    2. Balbontin, Camila & Hensher, David A. & Ho, Chinh, 2023. "Light commercial vehicles destination choice: Understanding preferences relative to the number of stop and tour-based trip type," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).

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