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城市地铁与地下物流系统协同运输方式研究
引用本文:陈一村,董建军,尚鹏程,陈志龙,任睿. 城市地铁与地下物流系统协同运输方式研究[J]. 地下空间与工程学报, 2020, 16(3): 637-646
作者姓名:陈一村  董建军  尚鹏程  陈志龙  任睿
基金项目:国家自然科学基金(71631007,51708554)
摘    要:预防货物运输导致的环境恶化和交通拥堵正成为城市交通规划领域亟需解决的问题。采用地下物流系统在城市范围内运输货物,是突破交通网络运输能力瓶颈、改善城市环境和提高城市物流服务质量的有效方式。但地下物流系统前期建设周期长,投资巨大,因此,依托城市地铁的富余运能,结合地下物流系统实现协同运输,可以解决地铁沿线地区货物运输问题。笔者针对地铁与地下物流系统协同运输的可行性进行分析,提出了协同运输的3种可行方式。考虑地铁客运特征、地下货物运输特征和城市货物需求3个因素,提出运用K-means聚类和Dijkstra算法来定量化分析3种协同运输系统对城市地铁客运和地面物流配送的影响,为未来城市地铁和地下物流的规划建设提供支撑。

关 键 词:地铁  地下物流  协同运输  交通拥堵  
收稿时间:2020-01-24

Research on the Cooperative Transportation Modes between Metro and Underground Logistics System in Urban Area
Chen Yicun,Dong Jianjun,Shang Pengcheng,Chen Zhilong,Ren Rui. Research on the Cooperative Transportation Modes between Metro and Underground Logistics System in Urban Area[J]. Chinese Journal of Underground Space and Engineering, 2020, 16(3): 637-646
Authors:Chen Yicun  Dong Jianjun  Shang Pengcheng  Chen Zhilong  Ren Rui
Abstract:Prevention of environmental degradation and traffic congestion caused by cargo transportation are becoming an urgent problem to be solved in urban traffic planning.Using underground logistics system(ULS) to transport goods within the city is an effective way to break the bottleneck of transportation capacity,improve the environment and the quality of logistics service.However,the construction of ULS needs a large amount of investment and a long period time.Therefore,by combining the spare capacity of metro with ULS to realize cooperative transportation,the problem of freight transportation along the metro area can be solved.The feasibility of the cooperative transportation between metro and ULS was analyzed,and three feasible ways were proposed.By using K-means clustering and Dijkstra algorithm,considering the features of metro,underground freight transportation and urban goods demand,the method to quantitatively analyze the performance of three feasible ways was proposed to support the future planning of metro and ULS.
Keywords:metro  underground logistics system  cooperative transportation  traffic congestion  
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