Bidirectional urban flows in rapidly urbanizing metropolitan areas and their macro and micro impacts on urban growth: A case study of the Yangtze River middle reaches megalopolis, China
Bidirectional urban flows in rapidly urbanizing metropolitan areas and their macro and micro impacts on urban growth: A case study of the Yangtze River middle reaches megalopolis, China
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DOI：
10.1016/j.landusepol.2018.12.007
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发表时间：
2019-03
期刊：
影响因子：
7.1
通讯作者：
Chang Xia;Anqi Zhang;Haijun Wang;Boen Zhang;Yan Zhang
中科院分区：
文献类型：
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作者：
Chang Xia;Anqi Zhang;Haijun Wang;Boen Zhang;Yan Zhang
物质、技术和信息的双向城市流动日益频繁，城市在社会、经济和技术方面联系密切。一个开放的、移动的、多中心的城市网络逐渐形成。然而，目前对城市景观动态的研究大多将城市视为一个整体，忽略了城市间的关联性。长江中游大都市是我国城市化进程最快的都市区之一。我们提出两个研究问题：（1）城际因素是否在宏观层面影响城市用地扩张？(2)城际因素是否在微观层面影响城市增长的空间格局？我们使用地理空间大数据从宏观角度衡量城市群之间的城市关联性和空间互动。然后，采用基于数据场模型的空间显式方法来量化每个城市内部的微观城市空间相互作用。还分析了空间相互作用的格局及其对城市增长的影响。结果表明，武汉、南昌、长沙三个城市亚群发展良好，是主导核心。然而，长三角区域经济一体化机制中的宏观城市间关联并没有打破省域地理边界的束缚。一个高度连接的多中心城市网络系统至今尚未形成。我们的实证结果表明，城际因素是2005年至2015年YRMRM宏观和微观城市增长动力的主要驱动力。这一发现表明，人口和信息流有很强的影响，促进城市化的YRMRM在此期间。因此，我们认为，城市双向流动应该是未来城市空间规划和区域发展战略的重要考虑因素。
Bidirectional urban flows of materials, technologies and information are becoming more frequent, and cities are closely connected socially, economically and technologically. Thus, an open, mobile and polycentric urban network has gradually formed. However, most of the recent studies on urban landscape dynamics regarded each city as a single entity and ignored intercity relatedness. In this study, we took as an example the Yangtze River middle reaches megalopolis (YRMRM), which is one of the rapidly urbanizing metropolitan areas in China. We pose two research questions: (1) Do intercity factors impact the expansion of urban land at a macro level? (2) Do intercity factors impact the spatial patterns of urban growth at a micro level? We used geospatial big data to measure urban relatedness and spatial interaction among city groups from a macro perspective. Then, a spatially explicit approach based on a data field model was adopted to quantify the micro urban spatial interaction inside each city. The pattern of spatial interaction and its impacts on urban growth were also analysed. The results showed that the three city sub-groups developed well, with Wuhan, Nanchang and Changsha being the dominant cores. However, the macro intercity relatedness in the YRMRM has not broken the shackles of the geographical boundaries of the provinces. A highly connected polycentric urban network system has not been formed to date. Our empirical results indicated that intercity factors were the main drivers of both macro and micro urban growth dynamics in the YRMRM from 2005 to 2015. This finding suggests that population and information flows had strong effects on the promotion of urbanization in the YRMRM during this period. Thus, we argued that urban bidirectional flows should be a vital consideration in future urban spatial planning and regional development strategies.