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高铁流视角下的中国县域网络结构特征与演化研究
引用本文:陈俐锦,欧国立,范梦余,石柏源. 高铁流视角下的中国县域网络结构特征与演化研究[J]. 地理科学进展, 2021, 40(10): 1639-1649. DOI: 10.18306/dlkxjz.2021.10.003
作者姓名:陈俐锦  欧国立  范梦余  石柏源
作者单位:1.北京交通大学,北京 100044
2.中国农业大学,北京 100083
基金项目:国家社会科学基金重大项目(20&ZD099)
摘    要:高铁通过改变城市间的连接性和联系强度来影响城市网络的结构、功能和关系。随着中国高铁网络的延伸与升级,基于高铁流来认识和解构城市网络成为了重要的途径之一。论文从高铁流出发,借助2008—2018年高铁客运班次数据和社会网络分析方法,对中国县域网络结构特征和演化进程进行分析。结果表明:① 高铁网络密度逐年提高。东中部地区的中心度值较高,枢纽地位明显,多条高铁干线的核心交汇点易生成高中介度节点。② 多重网络结构层级性辨识出具有演化分异的层级特征和复杂多样的联系格局。第一、第二层级节点效应显著,区位优势明显;第三层级是网络的延伸和细化。③ 地域邻近程度和空间联系强度决定了凝聚子群的构成,受高铁线路布局的影响,子群呈现“多核化”趋势,具体表现为延伸、合并和新增3种演化类型。

关 键 词:高铁流  高铁网络  社会网络分析法  网络结构特征  中国县域  
收稿时间:2020-12-03
修稿时间:2021-02-19

Structural characteristics and change of China's county network from the perspective of high-speed rail flow
CHEN Lijin,OU Guoli,FAN Mengyu,SHI Boyuan. Structural characteristics and change of China's county network from the perspective of high-speed rail flow[J]. Progress in Geography, 2021, 40(10): 1639-1649. DOI: 10.18306/dlkxjz.2021.10.003
Authors:CHEN Lijin  OU Guoli  FAN Mengyu  SHI Boyuan
Affiliation:1. Beijing Jiaotong University, Beijing 100044, China
2. China Agricultural University, Beijing 100083, China
Abstract:High-speed rail affects the structure, function, and relationship of urban network by changing the connectivity and connection strength between cities. With the extension and upgrading of China's high-speed rail network, understanding and interpreting urban network based on high-speed rail flow has become one of the important ways of research. Starting from the high-speed rail flow, this study analyzed the characteristics and process of change of China's county network structure with the help of the 2008-2018 high-speed rail passenger transport data and social network analysis method. The results show that: 1) the density of high-speed railway network is increasing year by year. The centrality values of the eastern and central regions are high, and the hub position is obvious. The core intersection of multiple high-speed railway trunk lines is likely to generate high and medium intermediate nodes. 2) The hierarchical structure of multiple networks identifies the hierarchical characteristics with evolutionary differentiation and complex and diverse connection patterns. The node effect of the first and second levels is significant and the location advantage is obvious, and the third level is the extension and refinement of the network. 3) The composition of agglomerating subgroups is determined by regional proximity and spatial connection strength. Affected by the layout of high-speed railway lines, the subgroups present a trend of "multi-cores", which is manifested in three types of change: extension, merger, and addition.
Keywords:high-speed rail flow  high-speed rail network  social network analysis method  network structure characteristics  counties in China  
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