parcel delivery spatial analysis online shopping urban freight demand model
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.
Details
Title
Exploring the Relationship between Locational and Household Characteristics and E-Commerce Home Delivery Demand
Authors
Cheng Cheng (Corresponding Author) - Singapore-MIT Alliance for Research and Technology
Takanori Sakai - Tokyo University of Marine Science and Technology
Andre Alho - Massachusetts Institute of Technology
Lynette Cheah - Singapore University of Technology and Design
Moshe Ben-Akiva - Massachusetts Institute of Technology
Restrictions apply to the availability of these data. Data was obtained from freight carrier wishing to remain anonymous and was only available for the duration of the research project funded by SUTD-MIT International Design Centre, grant number IDG21800101.
Grant note
This research was funded by the SUTD-MIT International Design Centre, grant number IDG21800101.