中国物流枢纽承载城市货运网络时空演化及驱动机制  

Spatial-temporal Characteristics and Driving Mechanism of Logistic Pivotal Bears the Weight of City Freight Transport Network in China

作　　者：贾鹏 吴寄石 李海江 匡海波 Jia Peng;Wu Jishi;Li Haijiang;Kuang Haibo(Collaborative Innovation Center for Transport Studies,Dalian Maritime University,Dalian 116026,Liaoning,China;School of Maritime Economics and Management,Dalian Maritime University,Dalian 116026,Liaoning,China;School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100049,China;Transportation Engineering College,Dalian Maritime University,Dalian 116026,Liaoning,China)

机构地区：[1]大连海事大学综合交通运输协同创新中心,辽宁大连116026 [2]大连海事大学航运经济与管理学院,辽宁大连116026 [3]中国科学院大学经济与管理学院,北京100049 [4]大连海事大学交通运输工程学院,辽宁大连116026

出　　处：《地理科学》2021年第5期759-767,共9页Scientia Geographica Sinica

基　　金：国家重点研发计划项目(2019YFB1600405);国家自然科学基金项目(71774018,71831002);交通运输部交通运输行业重点项目(2020-MS6-153);辽宁省自然科学基金航运联合基金项目(2020-HYLH-20);中国博士后科学基金会面上项目(2015M580128)资助。

摘　　要：选取110个物流枢纽承载城市为研究对象,从"点-线-网"全局性视角,动态刻画2007—2016年中国物流枢纽承载城市货运网络时空特征,在此基础上利用空间面板动态数据模型,剖析了其演化驱动机制。研究表明:(1)物流枢纽承载城市"多核心-边缘"空间格局清晰,核心区域范围向西部地区延伸;(2)货运联系快速分化,空间格局层级性特征显著,中部地区、西部地区网络复杂性逐步提升。(3)货运联系网络向集聚性稳增长、网络结构趋于稳定、无标度网络特性减弱的小世界网络发展。(4)基础设施、市场环境、信息科技等因素的发展对物流枢纽承载城市货运网络空间格局形成具有正向驱动作用。The thesis selected 110 logistic pivotal bears the weight of cities as its research subject. For the whole thesis, it took a ’point-line-network’ global perspective. In addition, the thesis made a description of freight network spatial-temporal features of Chinese logistic hub carrying cities from 2007 to 2016 by integrating Modified Gravity Model, Spatial Analyst Technology and Complex Network Model in depth. Based on the previous description of freight network spatial-temporal features, it made use of Spatial Panel Data Model to analyze the evolution driving mechanism. Previous analyses show that: 1) The development degree of logistic pivotal bears the weight of cities witnesses yearly increase. The ’Multi-core-edge’ spatial pattern is vivid. The range of core areas witnesses gradual expansion to the western area. Due to such expansion, the expanded area gradually forms logistic hub carrying highlands like the North China logistic pivotal bears the weight of cities cluster with Beijing-Tianjin as the center, the Yangtze River Delta logistic pivotal bears the weight of cities cluster with Shanghai-Nanjing-Ningbo as the center, Guangzhou-Shenzhen-Dongguan as the center of the Pearl River Delta logistic pivotal bears the weight of cities cluster and Chongqing-Chengdu-Nanning as the center of the Southwest logistic pivotal bears the weight of cities cluster. 2) There is also rapid differentiation of freight transport links Freight transport links develop from ’simplification and fragmentation’ to ’complexity and integration’. The network complexity of middle and western areas sees gradual increase. Furthermore, spatial pattern is characterized by marked hierarchy. Among them, the first level network develops from ’local area proximity’ to ’partial radial’ structure. The second level network develops from the ’belt shape’ of the eastern cities along the Yellow Sea and Bohai Sea to the ’diamond shape’ structure of the Yangtze River economic belt. The development of the third level netw

关 键 词：货运网络 时空特性 空间分析 复杂网络理论 空间面板动态数据模型 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]