长沙理工大学学报（自然科学版）2025，Vol.22Issue(5)：143-155,170,14.DOI:10.19951/j.cnki.1672-9331.20241218001
考虑剩余运力的地铁快递物流选址-路径研究
Research on location and route problem for subway express logistics considering remaining capacity
摘要
Abstract
[Purposes]This paper aims to explore the location and route problem of subway express logistics considering the remaining capacity of the subway,providing a basis for the location and route decision-making of express logistics within the subway network during different passenger transport periods.[Methods]To minimize subway transportation costs,line transfer costs,station renovation costs,and penalties for exceeding the remaining capacity,while considering constraints such as remaining capacity and node processing capabilities,a location and route model for subway express logistics under uncertain demand conditions was constructed based on the chance-constrained programming method.An improved adaptive genetic algorithm was designed,and simulation experiments were conducted.[Findings]Changsha needs to reconstruct 14 subway interchange stations as transit nodes,and the transit node opening strategies and path schemes during off-peak,peak,and nighttime periods exhibit different characteristics,all of which help reduce costs.During off-peak hours,the operating cost of the subway is reduced by 50.17％compared to road transport.During peak hours,due to insufficient capacity on central corridors,transfer nodes are mainly located at peripheral subway stations,increasing path complexity.The operating cost is reduced by 42.29％compared to road transport.During nighttime,the route is the shortest,reducing the operating cost by 50.11％compared to road transport.Compared with the model without considering the remaining capacity,the proposed model reduces overload by 62％and 59％during off-peak and peak hours,respectively.[Conclusions]This study can provide feasible solutions for the location and route planning of subway express logistics during different passenger transportation periods within the subway network.关键词
市内交通运输/地铁快递物流/选址-路径/剩余运力/机会约束规划/自适应遗传算法Key words
urban transportation/subway express logistics/location and route/remaining capacity/chance-constrained programming/adaptive genetic algorithm分类
交通工程引用本文复制引用
周爱莲,张美平,邢璐..考虑剩余运力的地铁快递物流选址-路径研究[J].长沙理工大学学报（自然科学版）,2025,22(5):143-155,170,14.基金项目
国家自然科学基金项目(52372296) （52372296）
中国交通运输协会科技项目(CCTA-TI&A-2024003CT) （CCTA-TI&A-2024003CT）
湖南省教育厅重点项目(19A014) （19A014）
长沙理工大学基金项目(2019QJCZ004) National Natural Science Foundation of China(52372296) （2019QJCZ004）
Science and Technology Project of China Communications and Transportation Association(CCTA-TI&A-2024003CT) （CCTA-TI&A-2024003CT）
Key Project of Hunan Provincial Department of Education(19A014) （19A014）
Changsha University of Science&Technology Foundation Project(2019QJCZ004) （2019QJCZ004）
