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Impacts of high-speed rail lines on the city network in China
Jiao, Jingjuan1; Wang, Jiaoe2; Jin, Fengjun2
2017-04-01
Source PublicationJOURNAL OF TRANSPORT GEOGRAPHY
ISSN0966-6923
Volume60Pages:257-266
Corresponding AuthorWang, Jiaoe(jiaoewang@163.com)
AbstractChina'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.
KeywordCity network Centrality High-speed rail Train frequency Network analysis
DOI10.1016/j.jtrangeo.2017.03.010
WOS KeywordAIR TRANSPORT NETWORK ; EMPIRICAL-ANALYSIS ; ACCESSIBILITY ; FLOWS ; EVOLUTION ; TRAINS ; CENTRALITY ; SYSTEM ; SPACE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41371143] ; Special Foundation for Beijing Jiaotong University[2016RCW009]
Funding OrganizationNational Natural Science Foundation of China ; Special Foundation for Beijing Jiaotong University
WOS Research AreaBusiness & Economics ; Geography ; Transportation
WOS SubjectEconomics ; Geography ; Transportation
WOS IDWOS:000403117300024
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:24[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/63481
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Jiaoe
Affiliation1.Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
2.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Jiao, Jingjuan,Wang, Jiaoe,Jin, Fengjun. Impacts of high-speed rail lines on the city network in China[J]. JOURNAL OF TRANSPORT GEOGRAPHY,2017,60:257-266.
APA Jiao, Jingjuan,Wang, Jiaoe,&Jin, Fengjun.(2017).Impacts of high-speed rail lines on the city network in China.JOURNAL OF TRANSPORT GEOGRAPHY,60,257-266.
MLA Jiao, Jingjuan,et al."Impacts of high-speed rail lines on the city network in China".JOURNAL OF TRANSPORT GEOGRAPHY 60(2017):257-266.
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