Impacts of high-speed rail lines on the city network in China
Impacts of high-speed rail lines on the city network in China
复制标题
高铁线路对中国城市网络的影响
DOI：
10.1016/j.jtrangeo.2017.03.010
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发表时间：
2017-04-01
影响因子：
6.1
通讯作者：
Jin, Fengjun
中科院分区：
文献类型：
--
作者：
Jiao, Jingjuan;Wang, Jiaoe;Jin, Fengjun
中国的大规模高铁网络对可达性和连通性都有重大影响，但对其对连通性的影响却鲜有人关注。连通性的变化在很大程度上影响着城市之间的对外关系，从而影响着城市网络结构。本文研究了中国高铁网络对城市网络整体连通性和节点中心性的影响，并通过2003年至2014年的旅客列车进行了评估。本文采用图指数、平均路径长度、聚类系数和三个中心度指标，即加权程度中心度(WDC)、加权贴近度中心度(WCC)和加权中间度中心度(WBC)。结果表明，随着Beta指数和分簇系数的增加，平均路径长度的减小，高铁网络的整体连通性大大提高。高铁线路还增加了城市网络的平均中心度，并根据WCC指标增加了节点中心度的不平等，但它们降低了节点中心度相对于WDC和WBC指标的不平等。与此同时，不断发展的高铁网络导致在WCC指标上，大城市的中心性趋于加强，但根据WDC和WBC指标，小城市的中心性趋于加强。在空间上，高铁站点、人口超过300万、GDP超过1000亿元的城市中心度提升幅度较大；WDC和WCC值较高的城市，特别是排名前20位的城市，往往集中在经济发达的人口密集地区(如长三角)，而2014年WBC值较高的城市与区域铁路局枢纽城市耦合。(C)爱思唯尔有限公司出版的2016年。
China's large-scale HSR network has a significant influence on both accessibility and connectivity, but little attention has been paid to its impacts on connectivity. Changes in connectivity largely affect the external relations among cities, thus influencing the structure of the city network. This paper examines the impacts of China's HSR network on the overall connectivity and nodal centrality of the city network, as evaluated by passenger trains from 2003 to 2014. This paper employs the graph index, average path length, clustering coefficient and three indicators of centrality, namely weighted degree centrality (WDC), weighted closeness centrality (WCC) and weighted betweenness centrality (WBC). The results show that the HSR network largely increased overall connectivity according to the increasing Beta index and clustering coefficient, and decreasing average path length. The HSR lines also increased the average centrality of the city network and the inequality of nodal centrality according to the WCC indicator, but they decreased the inequality of nodal centrality with regard to the WDC and WBC indicators. Meanwhile, the growing HSR network led to the centrality tended to intensify in large cities in terms of the WCC indicator, but intensify in small cities according to the WDC and WBC indicators. Spatially, the cities with HSR stations, population over 3 million and GDP over 100 billion RMB saw higher increases in centrality than the others; the cities with high values of WDC and WCC, especially the top 20 cities, tended to concentrate in the populous areas with well-developed economies (e.g., Yangtze River Delta), whereas the cities with high WBC values in 2014 were coupled with the hub cities of regional railway management administration. (C) 2016 Published by Elsevier Ltd.