Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand
Cheng Cheng,
Takanori Sakai,
André Alho,
Lynette Cheah and
Moshe Ben-Akiva
Additional contact information
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
Logistics, 2021, vol. 5, issue 2, 1-13
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.
Keywords: parcel delivery; spatial analysis; online shopping; urban freight; demand model (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:5:y:2021:i:2:p:29-:d:555893
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