Analysis of structural evolution and its influencing factors of the high-speed railway network in China's three urban agglomerations

城市群 经济地理学 中国 旅游 北京 三角洲 群落结构 网络结构 业务 社会网络分析 复杂网络 地理 中心性 服务(商务) 区域科学 运输工程 工程类 计算机科学 营销 生态学 社会化媒体 航空航天工程 考古 数学 万维网 机器学习 组合数学 生物
作者
Dan He,Zixuan Chen,Tao Pei,Jing Zhou
出处
期刊:Cities [Elsevier]
卷期号:132: 104063-104063 被引量:16
标识
DOI:10.1016/j.cities.2022.104063
摘要

Development of HSR network has an important impact on the evolution of urban spatial structure. However, quantitative discussions on influencing factors of HSR network evolution are still lack. This study explores the structural evolution and influencing factors of HSR network consisting of three urban agglomerations. The main results are as follows: (1) The HSR network in Beijing-Tianjin-Hebei (BTH) had maintained a stable twin-city structure, while Yangtze River Delta (YRD) and Pearl River Delta (PRD) presented a balanced and polarized structure respectively. (2) The community structure of HSR network in BTH and YRD had become complex and diversified, while that in PRD was simple and stable. (3) The overall level of HSR connections in PRD has grown at the first and that in BTH has dropped at the bottom in 2019.The overall level of connectivity of HSR network in PRD continued to rise, and it continued to decline in YRD. That in PRD has significant small-world feature. (4) The interaction intensity of tourism, income, technology, and investment of cities significantly affects HSR network structure. This article helps to adjust HSR network structure from the demand of residents' travel between cities, and optimize the service supply of inter-city high-speed travel. • The structure and evolution of HSR network in Chinese three urban agglomerations are analyzed. • The reverse impact of social economy on HSR network structure is discussed based on bottom-up thought. • A new method is used to analyze the impact of social economy on HSR network structure. • The connections of tourism, income, technology and investment between cities significantly affect HSR network structure. • Understanding the influence mechanism of HSR network structure will help adjust spatial structure of urban agglomerations.
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