Advances in Earth Science ›› 2023, Vol. 38 ›› Issue (9): 943-953. doi: 10.11867/j.issn.1001-8166.2023.050

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Spatial Simulation and Temporal Analysis of Urban Agglomeration Accessibility Based on High-Speed Rail Networks: An Improved Time-Space Analysis Model

Hang YIN( ), Jianzhong YAN( ), Ya WU, Hengheng GE, Xiaohuang YANG   

  1. Land Resource Management Department, Collage of Resources and Environment, Southwest University, Chongqing 400715, China
  • Received:2023-04-08 Revised:2023-08-14 Online:2023-09-10 Published:2023-09-25
  • Contact: Jianzhong YAN E-mail:yinhangswu@163.com;yanjzswu@126.com
  • About author:YIN Hang, Master student, research areas include transportation accessibility and regional development. E-mail: yinhangswu@163.com
  • Supported by:
    the Chinese Academy of Sciences Class A Strategic Priority Research Program(XDA20040201);The National Natural Science Foundation of China(72004187)

Hang YIN, Jianzhong YAN, Ya WU, Hengheng GE, Xiaohuang YANG. Spatial Simulation and Temporal Analysis of Urban Agglomeration Accessibility Based on High-Speed Rail Networks: An Improved Time-Space Analysis Model[J]. Advances in Earth Science, 2023, 38(9): 943-953.

At a national scale, exploring the transportation accessibility of megalopoleis effectively depicts their collaborative relationships and trends in intra-cluster integration, providing theoretical support for promoting their integrated development. Based on an enhanced time-space map analysis model, this study measures the accessibility levels of 11 national-level megalopoleis and analyzes the evolutionary characteristics of accessibility within and between clusters under the construction of a high-speed rail networks. Results demonstrate that the ‘space-time compression’ resulting from the construction of a high-speed rail networks facilitates the diffusion of megalopoleis from a ‘two horizontal and two vertical’ distribution structure to a ‘clustered’ structure. The construction of a high-speed rail networks promotes intra-cluster integration and inter-cluster collaboration, thereby enhancing the regional balance. The time-space map analysis model effectively interprets the spatial information of the time-space map, expands the application of spatial analysis methods for accessibility, and provides insights for promoting balanced regional development in megalopoleis.

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