Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data
Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data
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使用地理参考社交媒体数据识别高密度城市的城市空间结构和城市活力
DOI：
10.1016/j.habitatint.2019.102005
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发表时间：
2019-07-01
影响因子：
6.8
通讯作者：
Li, Xun
中科院分区：
文献类型：
--
作者：
Chen, Tingting;Hui, Eddie C. M.;Li, Xun
利用社交媒体（在线社交网络）和兴趣点数据跟踪人类活动，以了解人类的动态分布、行为和高密度城市环境，在城市研究领域越来越重要。最近，社交媒体数据已被证明是一个丰富的信息来源，提供了一种新的方式来获得城市空间结构及其对生活质量的影响。然而，在香港这样的高密度城市，这种智慧在城市规划和决策中的整合还没有得到全面的研究，因为它涉及到空间配置。本研究旨在调查空间结构并分析社交媒体数据，以评估人类活动知识的城市规划。本研究还试图引入探索性分析，以更好地理解社会活动与城市空间之间的相互作用。结果表明，功能布局决定着城市空间结构，决定着人类社会活动。该研究提供了关于更好地解释社会活动知识的见解，揭示了社会活动如何反映相应的城市空间结构，并详细了解各自的活动变化。
Tracking human activities with social media (online social networks) and point of interest data to understand human dynamic distribution, behavior, and high-density urban environments is gaining importance in the domain of urban studies. Recently, social media data have proven to be a rich source of information, providing a novel way to derive urban spatial structures and their impact on the quality of life. Yet, integration of this wisdom in urban planning and policymaking has not been comprehensively investigated in high-density cities such as Hong Kong as it relates to spatial configurations. This study aims to investigate spatial structures and analyze social media data to apprise urban planning with knowledge of human activities. This study also seeks to introduce an exploratory analysis to develop a greater understanding of the interaction between social activities and urban space. The results show that function layout defines urban spatial structure and determines human social activities. The research provides insights regarding a better interpretation of the knowledge of social activities, underlying how well social activities reflect the corresponding urban spatial structure and gaining a detailed understanding of their respective variation in activities.