基于多源时空大数据的城市货车管理政策研究——以武汉市三环线为例  

Urban Freight Management Policy Research Based on Multi-source Spatio-temporal Big Data:A Case Study of Wuhan Third Ring Road

作　　者：冯明翔 张子培 李海军 郑猛[1] 余金林 丰富 Feng Mingxiang;Zhang Zipei;Li Haijun;Zheng Meng;Yu Jinlin;Feng Fu

机构地区：[1]武汉市规划研究院(武汉市交通发展战略研究院) [2]武汉大学城市设计学院

出　　处：《交通与港航》2023年第4期8-14,20,共8页Communication & Shipping

基　　金：国家重点研发计划资助项目“基于城市高强度出行的道路空间组织关键技术”(2020YFB1600500);世行贷款武汉城市圈交通一体化示范项目武汉智能交通示范子项(P148294)。

摘　　要：在服务城市经济和产业发展的同时,降低货运对城市交通安全、效率、环保的不利影响,制定科学、精细、合理的货运管理政策是一项重要研究课题。该文首先提出城市货运活动管理的基本任务和管理政策制定的研究思路,然后以武汉市为例,通过多源大数据分析货车出行空间特征,研究货车出行与城市空间以及居民日常出行之间的互动关系,总结出货车出行空间与城市三环线等关键通道、物流产业用地之间的相互关系,为货车政策制定及货运通道运行组织提供了量化支撑和相关建议。Developing scientific,fine and reasonable freight management policies is an important research.It can help reducing the negative impact of freight transportation on urban traffic safety,efficiency and environmental protection,While serving the urban economy and industrial development.This study addresses objectives tasks of freight management and the research ideas of policy formulation first.Taking Wuhan as an example,this paper analyzes the spatial characteristics of truck and the interaction between truck trip,urban space and residents'daily travel based on the multi-source spatio-temporal big data.Finally,the interrelationship between truck travel space,logistics industry land and key corridors such as the urban Third Ring Road is summarized.The results provide quantitative support and relevant suggestions for freight policy formulation and corridors operation organization.

关 键 词：大数据 货运交通 城市空间 货车管理政策 

分 类 号：U492.3[交通运输工程—交通运输规划与管理] P208[交通运输工程—道路与铁道工程]