Publication Type
Journal Article
Version
acceptedVersion
Publication Date
7-2025
Abstract
This study introduces a novel approximation model that integrates the ideologies of order statistics and max-plus algebra in representing the collection and distribution service schemes of a last-mile delivery system. Under the respective schemes, electric cargo bikes (e-bikes) perform the last-mile delivery near a microhub with shuttles collecting packages from multiple local logistics hubs (or local hubs, for short) and/or distributing packages to multiple microhubs. The framework is designed to estimate the cyclic capacity under varying cargo carrying capacities of the e-bikes and service network configurations. Real-world data, such as the geographic conditions of the streets around the microhubs in Seoul and their catchment areas, were utilized in statistical experiments. The study’s findings are applicable to delivery service providers, to enable them to make informed decisions when designing and implementing last-mile delivery systems that are both economically viable and environmentally sustainable in meeting customers’ expectations.
Keywords
Freight systems, urban freight transportation, city logistics and last-mile strategies, street use
Discipline
Operations and Supply Chain Management | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Operations Management
Publication
Transportation Research Record
First Page
1
Last Page
18
ISSN
0361-1981
Identifier
10.1177/03611981251346182
Publisher
SAGE Publications
Citation
LEE, Byung Kwon; KIM, Young Joo; and LOW, Mei Wan.
Performances in last-mile deliveries involving cyclic services of shuttles and cargo bikes. (2025). Transportation Research Record. 1-18.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7739
Copyright Owner and License
Authors
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1177/03611981251346182
Included in
Operations and Supply Chain Management Commons, Operations Research, Systems Engineering and Industrial Engineering Commons