Sustainable impact analysis of freight pooling strategies on city crowdsourcing logistics platform

被引:7
作者
Hu, Simon [1 ,2 ]
Shu, Siqi [1 ,2 ]
Chen, Zerong [1 ]
Shao, Yuyuan [1 ]
Na, Xiaoxiang [3 ]
Xie, Chi [4 ]
Stettler, Marc [5 ]
Lee, Der-Horng [1 ,2 ]
机构
[1] Zhejiang Univ, ZJU UIUC Inst, Haining, Peoples R China
[2] Zhejiang Univ, Inst Intelligent Transportat Syst, Coll Civil Engn & Architecture, Hangzhou, Peoples R China
[3] Univ Cambridge, Dept Engn, Cambridge, England
[4] Tongji Univ, Coll Transportat Engn, Shanghai, Peoples R China
[5] Imperial Coll London, Dept Civil & Environm Engn, London, England
基金
中国国家自然科学基金;
关键词
City crowdsourcing logistics platform; Freight pooling strategy; Sustainability; LAST-MILE DELIVERY; FUEL CONSUMPTION; ENVIRONMENTAL SUSTAINABILITY; E-COMMERCE; TRANSPORT; EMISSIONS; EFFICIENT; TECHNOLOGY;
D O I
10.1016/j.trd.2024.104167
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates the effects of freight pooling strategies on urban crowdsourcing logistics, focusing on economic, social, and environmental outcomes. Utilising a mixed-integer linear programming model with an adaptive large neighbourhood search algorithm, our goal is to optimise the cost-efficiency of the freight pooling system. Real-world delivery and driver trajectory data from a major Chinese crowdsourcing logistics platform, along with highresolution vehicle telematics data, validate our model in five scenarios, each defined by distinct cost coefficients reflecting diverse stakeholder priorities. Results show potential for up to a 21.3 % reduction in carbon emissions, a 28.3 % decrease in truck activity spatial coverage, and a 7.6 % increase in available drivers. However, deadheading trips, due to order consolidation into fewer vehicles without an increase in overall demand, could offset maximum carbon reduction benefits by 16.4 % . Other effects on customers' and drivers' welfare are explored for a comprehensive quantitative assessment of freight pooling strategies' sustainability benefits.
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页数:25
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