Beyond absolute space: An exploration of relative and relational space in Shanghai using taxi trajectory data
Beyond absolute space: An exploration of relative and relational space in Shanghai using taxi trajectory data
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DOI：
10.1016/j.jtrangeo.2021.103076
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发表时间：
2021-05-12
影响因子：
6.1
通讯作者：
Wilson, Bev
中科院分区：
文献类型：
--
作者：
Li, Xijing;Ma, Xinlin;Wilson, Bev
城市空间的性质长期以来一直引起地理学家的兴趣，大卫·哈维的城市内多重空间（即绝对、相对和关系）的概念框架已被广泛采用和发展。地理空间大数据凭借其高时空分辨率，在我们理解城市结构中发挥着越来越重要的作用。出租车轨迹数据在旅行目的估计中特别有用，并且由于这些旅行的门到门性质，可以更细致地了解城市交通。本文利用出租车轨迹数据，并使用结构方程模型 (SEM) 探索 Harvey 框架中绝对空间、相对空间和关系空间之间的相互作用。通过对上海市中心城区的实证研究，本文强调了哈维框架在理解城市动态结构方面的重要性，并主张改变城市规划和发展，以更好地协调土地利用和出行需求。我们发现，由于城市流动性与建筑环境之间的不匹配，上海的相对空间和关系空间之间的关系并不显着。这种不匹配将交通流集中在城市核心区附近，使上海建成环境在绝对空间上的多中心结构转变为关系空间上的单节点结构。在确定了上海这一问题的影响因素后，本文建议将哈维的多重空间概念框架与地理空间大数据相结合，为应对快速城市化挑战的规划策略提供信息。
The nature of urban space has long-drawn geographers' interest and David Harvey's conceptual framework of multiple spaces (i.e., absolute, relative, and relational) within cities has been widely adopted and developed. With its high spatial and temporal resolution, geospatial big data plays an increasingly important role in our understanding of urban structure. Taxi trajectory data is particularly useful in travel purpose estimation and allows for more granular insights into urban mobility due to the door-to-door nature of these trips. This article utilizes taxi trajectory data and explores the interaction among absolute space, relative space, and relational space in Harvey's framework using Structural Equation Modeling (SEM). Through an empirical study of Shanghai's downtown area, this paper highlights the importance of Harvey's framework in understanding cities' dynamic structure and argues for changes in urban planning and development to better coordinate land use and travel demand. We find an insignificant relationship between relative and relational space in Shanghai due to a mismatch between urban mobility and the built environment. This mismatch concentrates the transportation flow near the city's core area, transforming the polycentric structure of Shanghai's built environment in absolute space to a single-node structure in relational space. After identifying the contributing factors to this problem in Shanghai, this article suggests combining Harvey's conceptual framework of multiple spaces with geospatial big data to inform planning strategies that address the challenges of rapid urbanization.