Linking spatial and temporal contexts to multi-contextual segregation by hukou status in urban China
Linking spatial and temporal contexts to multi-contextual segregation by hukou status in urban China
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将时空背景与中国城市户口身份的多背景隔离联系起来
DOI：
10.1016/j.jtrangeo.2023.103540
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发表时间：
2023-02
影响因子：
6.1
通讯作者：
Luo Xueyao
中科院分区：
文献类型：
--
作者：
Shen Yue;Luo Xueyao
隔离研究的范式正在从基于地点的视角转向基于人的视角，从静态的空间隔离转向动态的时空隔离。然而，从时空关系角度衡量个体层面隔离的实证研究相当有限，人们日常生活中的各种地理和时间背景对隔离的影响也不够清楚。基于中国上海的活动-旅行日记数据，我们认为户口（“户籍”）状况是本研究的关键维度。因此，我们采用了一个个人水平的时空接近指数（i-STP指数）来衡量多上下文隔离，然后检查各种空间和时间背景之间的关联，关于户口隔离。在这项研究中，我们发现流动人口和农村人口经历了更高程度的隔离，不仅在住宅区或活动空间，而且在日常生活的各种时空背景下也是如此。此外，它还揭示了户口隔离的时间变化，这与日常活动的安排和城市的时间节奏。我们的研究还显示了居住空间和活动空间内地理环境的各种作用，这表明活动空间内的设施改善可以帮助减轻湖口隔离。因此，它有助于目前的文献与人为基础的动态测量的户口隔离，并提供有关的理解的空间和时间的背景之间的关系，以及活动属性与多上下文隔离的见解。
The paradigm in segregation research is shifting from a place-based to a people-based perspective and from static spatial segregation to dynamic spatiotemporal segregation. However, empirical studies measuring individual-level segregation from a space–time nexus perspective are quite limited, and the effects of various geographic and temporal contexts in people's daily lives on segregation are not clear enough. Drawing on activity-travel diary data in Shanghai, China, we consideredhukou(“household registration”) status as the key dimension in this research. Accordingly, we employed anindividual-level spatiotemporal proximity index(i-STP index) to measure multi-contextual segregation and then examined the associations between various spatial and temporal contexts with regard tohukousegregation. In this study, we found that migrant and rural populations experience higher levels of segregation, not only in residential neighborhood or activity spaces, but also in various space–time contexts in their daily lives. Moreover, it reveals temporal variations inhukousegregation, which is correlated with the arrangement of daily activities and the temporal rhythm of the city. Our study also shows the various roles of geographical contexts within residential spaces and activity spaces that are segregated, indicating that improved facilities within activity spaces could help mitigatehukousegregation. Therefore, it contributes to the current literature with people-based dynamic measurements ofhukousegregation and offers insight regarding the understanding of the relationship between spatial and temporal contexts as well as activity attributes with multi-contextual segregation.
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