Coping With the Rise of E-commerce Generated Home Deliveries Through Innovative Last-Mile Technologies and Strategies [supporting dataset]
E-commerce has the potential to make urban goods flow economically viable, environmentally efficient, and socially equitable. However, as e-retailers compete with increasingly consumer-focused services, urban freight witnesses a significant increase in associated distribution costs and negative externalities particularly affecting those living close to logistics clusters. Hence, to remain competitive, e-retailers deploy alternate last-mile distribution strategies. These alternate strategies, such as those that include use of electric delivery trucks for last-mile operations, a fleet of crowdsourced drivers for last-mile delivery, consolidation facilities coupled with light-duty delivery vehicles for a multi-echelon distribution, or collection points for customer pickup, can restore sustainable urban goods flow. Thus, in this study, the authors investigate the opportunities and challenges associated with such alternate last-mile distribution strategies for an e-retailer offering expedited service with rush delivery within strict timeframes. To this end, the authors formulate a last-mile network design (LMND) problem as a dynamic-stochastic two-echelon capacitated location routing problem with time-windows (DS-2E-C-LRP-TW) addressed with an adaptive large neighborhood search (ALNS) metaheuristic.
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- Dataset URL:
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Supplemental Notes:
- The dataset supports report: Coping With the Rise of E-commerce Generated Home Deliveries Through Innovative Last-Mile Technologies and Strategies, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
National Center for Sustainable Transportation
University of California, Davis
Davis, CA United StatesUniversity of California, Davis
Institute of Transportation Studies
Davis, CA United States 95616Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590California Department of Transportation
Division of Research, Innovation and System Information
1727 30th Street, MS 83
Sacramento, CA United States 95816 -
Authors:
- Pahwa, Anmol
- 0000-0002-9431-3168
- Jaller, Miguel
- 0000-0003-4053-750X
- Publication Date: 2023-4-20
Language
- English
Media Info
- Media Type: Dataset
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Dataset publisher:
Dryad
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Subject/Index Terms
- TRT Terms: Data; Delivery service; Electronic commerce; First mile and last mile; Routes; Urban goods movement
- Subject Areas: Data and Information Technology; Freight Transportation; Planning and Forecasting;
Filing Info
- Accession Number: 01881588
- Record Type: Publication
- Contract Numbers: USDOT Grant 69A3551747114
- Files: UTC, NTL, TRIS, ATRI, USDOT, STATEDOT
- Created Date: Apr 30 2023 4:52PM