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基于高铁网建设的全国城市群可达性空间模拟与特征演变分析——一个改进的时空图分析模型

Spatial Simulation and Temporal Analysis of Urban Agglomeration Accessibility Based on High-Speed Rail Networks:An Improved Time-Space Analysis Model
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摘要 从全局尺度探索城市群交通可达性,能有效描绘城市群间的协同关系及城市群内部的一体化趋势,为推进城市群一体化发展提供理论支撑。基于改进的时空图分析模型,测度11个国家级城市群的可达性水平,从城市群群内空间集聚性和群间交通协同特征方面分析高铁网建设下城市群可达性演变特征。结果表明:高铁建设产生的“时空压缩”将促进中国城市群点位“两横两纵”分布结构向“组团式”结构扩散。高铁建设将促进城市群内部的一体化和城市群间的协同化,增加区域平衡性。时空图分析模型能够有效解读时空图的空间信息,拓展了可达性空间分析方法的应用,并为促进城市群区域平衡发展提供了参考。 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.
作者 尹航 阎建忠 吴雅 葛恒衡 杨晓煌 YIN Hang;YAN Jianzhong;WU Ya;GE Hengheng;YANG Xiaohuang(Land Resource Management Department,Collage of Resources and Environment,Southwest University,Chongqing 400715,China)
出处 《地球科学进展》 CAS CSCD 北大核心 2023年第9期943-953,共11页 Advances in Earth Science
基金 中国科学院A类战略性先导科技专项(编号:XDA20040201) 国家自然科学基金青年科学基金项目(编号:72004187)资助
关键词 城市群 高铁网 可达性 时空压缩 时空图分析模型 Megalopolis High-speed rail network Accessibility Time-space compression Time-space map analysis model
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