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zhang-cheah-2023-prioritizing-outlier-parcels-for-public-transport-based-crowdshipping-in-urban-logistics1.77 MB
Published VersionCC BY-NC V4.0, Open Access
Journal article
Prioritizing Outlier Parcels for Public Transport-Based Crowdshipping in Urban Logistics
Transportation Research Record, Vol.2678(3), pp.601-612
2024
Abstract
The continuous growth of e-commerce puts pressure on logistic service providers to fulfill more parcel deliveries. Concurrently, there are increasing calls from governments and society to carry this out sustainably. Crowdshipping is one possible innovative logistic service that addresses these challenges. Crowdshipping enlists members of the public to fulfill parcel deliveries, ideally en route along their pre-committed journeys. In this paper, we consider a setting where public transport passengers can serve as crowdshippers and propose a comprehensive framework to organize the scheme. Firstly, outlier parcels are identified as being suitable for crowdshipping. Then, these outlying parcels are matched with crowdshippers, who pick up parcels from a set of selected parcel lockers. We also investigate the viability of crowdshipping with real-world data. By comparing a carrier's performance to a base case without crowdshipping, the results show that delivery vehicle kilometers traveled and associated carbon dioxide emissions can reduce by up to 20%. A total of 11% of parcels can be redirected to be delivered via crowdshipping. Crowdshipping using public transport has the potential to be a sustainable way to fulfill urban logistics in a dense city.
Details
- Title
- Prioritizing Outlier Parcels for Public Transport-Based Crowdshipping in Urban Logistics
- Authors
- Meijing Zhang - Singapore University of Technology and DesignLynette Cheah (Corresponding Author) - Singapore University of Technology and Design
- Publication details
- Transportation Research Record, Vol.2678(3), pp.601-612
- Publisher
- Sage Publications, Inc.
- Date published
- 2024
- DOI
- 10.1177/03611981231182429
- ISSN
- 2169-4052; 0361-1981
- Copyright note
- © National Academy of Sciences: Transportation Research Board 2023. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991029390802621
- Output Type
- Journal article
Metrics
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- Web Of Science research areas
- Engineering, Civil
- Transportation
- Transportation Science & Technology
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