Multi-stage two-echelon crowdsourcing logistics assignment model with future committing drivers-Reference-Cited by-同舟云学术

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Multi-stage two-echelon crowdsourcing logistics assignment model with future committing drivers

Published:2023-11 Issue: Volume:428 Page:139397
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Li Ming-Yang,Zhang Wen-Song^ORCID,Wu Yong^ORCID,Wang Lei

Funder

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Humanities and Social Science Fund of Ministry of Education of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference49 articles.

1. Deep reinforcement learning for crowdsourced urban delivery;Ahamed;Transp. Res. Part B Methodol.,2021

2. Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris;Akeb;Transp. Res. Part E Logist. Transp. Rev,2018

3. A dynamic crowdshipping model and daily travel behavior;Allahviranloo;Transp. Res. Part E Logist. Transp. Rev,2019

4. The vehicle routing problem with occasional drivers;Archetti;Eur. J. Oper. Res,2016

5. Applying genetic algorithm to a new location and routing model of hazardous materials;Ardjmand;Int. J. Prod. Res.,2015

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