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Exploration of Urban Interaction Features Based on the Cyber Information Flow of Migrant Concern: A Case Study of China’s Main Urban Agglomerations

机译:基于流动人口网络信息流的城市互动特征探索:以中国主要城市群为例

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摘要

In the context of “space of flow”, urban interaction has become the key force impacting urban landscape evolution and urban sustainable development. Current research on urban interaction analysis is mainly conducted based on the interaction of geographical elements, the virtual flow of information in cyberspace has not been given sufficient attention, particularly the information flows with explicit geographical meaning. Considering the dramatic population migration and the explosive growth of cyberspace in China’s main urban agglomerations, we constructed the information flow of migrant attention (IFMA) index to quantify the urban information interaction derived from public migrant concern in cyberspace. Under the framework coupling spatial pattern analysis and spatial network analysis, exploration spatial data analysis (ESDA) and complex network analysis (CNA) were adopted to identify the urban interaction features depicted by IFMA index in the three main urban agglomerations in China. The results demonstrated that, in the study area: (1) The IFMA index presented a reasonable performance in depicting geographical features of cities; (2) the inconformity between urban role in the network and development positioning confirmed by national planning existed; (3) in the context of New-type urbanization of China, urban interaction feature can be a beneficial reference for urban spatial reconstruction and urban life improvement. Using the cyber information flow with geographical meaning to analyze the urban interaction characteristics can extend the research angle of urban relationship exploration, and provide some suggestion for the adjustment of urban landscape planning.
机译:在“流动空间”的背景下,城市互动已成为影响城市景观演变和城市可持续发展的关键力量。当前的城市交互分析研究主要是基于地理要素的交互作用,网络空间中的虚拟信息流并未得到足够的重视,特别是具有明确地理意义的信息流。考虑到中国主要城市群中人口的急剧迁移和网络空间的爆炸性增长,我们构建了移民关注度信息流(IFMA)指数,以量化源自网络空间中公共移民关注的城市信息互动。在空间格局分析与空间网络分析相结合的框架下,采用探索性空间数据分析(ESDA)和复杂网络分析(CNA)来识别中国三个主要城市群中以IFMA指数表示的城市相互作用特征。结果表明,在研究领域:(1)IFMA指数在描述城市地理特征方面表现合理; (2)城市网络中的角色与国家规划所确认的发展定位之间存在不整合; (3)在中国新型城镇化背景下,城市互动特征可以为城市空间重构和城市生活改善提供有益的参考。利用具有地理意义的网络信息流来分析城市互动特征,可以拓展城市关系探索的研究视角,为调整城市景观规划提供一些建议。

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