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基于订单大数据的长三角公路货运网络特征分析
引用本文:高湛,韦胜.基于订单大数据的长三角公路货运网络特征分析[J].地域研究与开发,2022,41(1):20-25.
作者姓名:高湛  韦胜
作者单位:江苏省城市规划设计研究院有限公司,南京210000
基金项目:国家自然科学基金青年项目(41801107);江苏省自然科学基金面上项目(BK20191486,BK20211371)。
摘    要:基于公路货运订单大数据,利用复杂网络理论,对长三角地区城市货运联系网络的特征进行分析。结果表明:(1)长三角公路货运网络呈现东强西弱的总体格局,上海、苏州、无锡之间的货运总量较大。(2)长三角地区整体上形成以上海市为核心的多层辐射的公路货运物流网络体系,合肥在安徽省内货运物流枢纽地位显著,南京和杭州在其省内的优势相对不够突出。(3)依据产业的不同,城市省内与省外的货运联系水平存在着显著差异。(4)长三角货运网络整体呈现出“金字塔”结构,且城市大致可被分为综合型、产地型和腹地型3种。在研究方法上探索性地提出了首位节点次数指标。

关 键 词:货运网络  复杂网络  订单大数据  长三角地区

Characteristics Analysis of Highway Freight Network in Yangtze River Delta Based on the Big Data of Orders
GAO Zhan,WEI Sheng.Characteristics Analysis of Highway Freight Network in Yangtze River Delta Based on the Big Data of Orders[J].Areal Research and Development,2022,41(1):20-25.
Authors:GAO Zhan  WEI Sheng
Institution:(Jiangsu Institute of Urban Planning and Design Co., Ltd., Nanjing 210000, China)
Abstract:Based on the big data of highway freight orders and the complex network theory,this paper analyzes the characteristics of urban freight connection network in the Yangtze River Delta.The results show that:(1)the highway freight network of the Yangtze River Delta presents an overall pattern of“strong in the east and weak in the west”,and the freight volume between Shanghai,Suzhou and Wuxi is relatively large.(2)As a whole,the Yangtze River Delta has formed a multi-layer radiation road freight logistics network system with Shanghai as the core.Hefei has a strong logistics center position in Anhui Province,while Nanjing and Hangzhou have relatively less prominent advantages in their province.(3)According to different industries,there are significant differences in the level of freight links between cities within and outside the province.(4)The Yangtze River Delta freight network overall presents a“positive pyramid”structure,and the cities can be roughly divided into three types:comprehensive type,production type and hinterland type.Based on the above conclusions,it has a certain significance for the planning and construction of freight network at different levels in the Yangtze River Delta.In the research method,the analysis index of the first node number is also proposed.
Keywords:freight network  complex network theory  big data of freight orders  Yangtze River Delta
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