基于货运大数据的朱家桥港区道路集疏运优化研究  

Research on optimization of road collection and distribution in Zhujiaqiao Port Area based on freight big data

作　　者：陈钦 何杰[2] 于世军[3] CHEN Qin;HE Jie;YU Shi-jun(SUYI Design Group Co.,Ltd.,Nanjing,Jiangsu 210012,China;School of Transportation,Southeast University,Nanjing,Jiangsu 210018,China;School of Architecture Science and Engineering,Yangzhou University,Yangzhou,Jiangsu 225009,China)

机构地区：[1]苏邑设计集团有限公司,江苏南京210012 [2]东南大学交通学院,江苏南京210018 [3]扬州大学建筑科学与工程学院,江苏扬州225009

出　　处：《中国港湾建设》2023年第2期7-11,共5页China Harbour Engineering

摘　　要：港口和城市作为两个不同特性的活动中心,最早由相对独立的两个交通系统构成,但城市规模扩大和港口空间发育,导致了从港城分离向融合发展的演化,使得客货交通组织趋于混杂。基于港城关系的演变规律,对货运大数据进行聚类分析,获取港口货运车辆时空分布规律,从构网、强轴、增效、提质4个方面提出港口道路集疏运优化策略,旨在科学有效地支撑港口道路集疏运组织,并在芜湖港朱家桥港区进行了实践应用。Port and city,as two centers of activities with different characteristics,were originally two relatively independent transportation systems.The expansion of city scale and the development of port space has led to the evolution of integrated development of the port and the city from their initial separation and led to mixed transportation organization of passenger and freight.Based on the evolution law of the port-city relationship,a cluster analysis was made on the freight big data and the spatiotemporal distribution law of freight vehicles in the port was obtained,and an optimization strategy for port road collection and distribution was proposed from four aspects:network construction,strong axis,efficiency enhancement,and file upgrading.It aims to scientifically and effectively support the port road collection and distribution organization,and has been practically applied in the Zhujiaqiao Port Area of Wuhu Port.

关 键 词：港口 港城融合 集疏运 货运大数据 

分 类 号：U652.12[交通运输工程—港口、海岸及近海工程]