Abstract
This study analyzed a last-mile fresh food delivery system for individuals in underserved communities. Five alternative delivery networks with various modes were considered: conventional trucks, electric cargo bikes, third-party deliveries by personal car, personalized ride transportation services, and parcel lockers. The total cost was formulated and optimized for each alternative. Then, the optimized results for the alternatives were compared. For our baseline values, numerical results showed that delivery by third party was the most cost-effective alternative in delivering fresh items, while truck deliveries ranked second. Personalized ride service and parcel locker delivery were more expensive than home-delivery services. Although more vehicles and frequent trips were needed for all alternatives as service area increased, home-delivery services had a moderate increase in total cost compared to other types. The personalized ride scenario was less influenced by changes in user value of waiting time. At a low demand density, truck operation may not be economically feasible. The study examined whether truck delivery could perform multiple tasks (i.e., delivering items to customers and fulfillment centers in a single delivery tour). Finally, mode shares for home deliveries were estimated when multiple delivery alternatives coexisted.
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Data Availability Statement
Some data, models, and code generated or used during the study are available from the corresponding author by request, such as Excel spreadsheets for results and sensitivity analyses.
Acknowledgments
The authors are grateful to the Urban Mobility and Equity Center led by Morgan State University, which funded this study.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 147 • Issue 1 • January 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Sep 6, 2019
Accepted: Jul 21, 2020
Published online: Oct 18, 2020
Published in print: Jan 1, 2021
Discussion open until: Mar 18, 2021
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