Segregation through space: A scope of the flow-based spatial interaction model
Segregation through space: A scope of the flow-based spatial interaction model
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DOI：
10.1016/j.jtrangeo.2019.02.007
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发表时间：
2019-04
影响因子：
6.1
通讯作者：
Yao Shen
中科院分区：
文献类型：
--
作者：
Yao Shen
人们通过城市空间在社会上被分割，在那里他们动态地经历隔离。通过将动员型社会包容概念化为城市人流模式之间的引力相互作用，本文提出了一个衡量两种轨迹在日常活动空间中相互作用程度的框架，并在该框架中产生了一系列指标，理论上等同于隔离研究中开发的指标，以从不同角度捕捉不同社会群体之间的相互作用潜力。这些范围包括绝对的，相对的和多组使用成对的地方作为分析单元，以及基于位置的测量，是非常敏感的基于流的空间相互作用潜力的空间配置。在大伦敦的情况下的应用程序意味着，相对指数捕捉的空间差异之间的各种模式的相互作用，描绘域之间的暴露水平可能会经历不同的职业，当他们上下班的地方。该研究表明，动员互动的影响域之间的流动性，所提出的方法可以提供一个网络的理解，通过每两个地方节点之间的边缘，超越现有的基于地方的测量社会曝光。此外，按来源地汇总的基于地点的结果与由目的地确定的结果之间的变化显示了高峰时段现场暴露的动态变化。虽然在这项工作中只展示了通勤行为，但所介绍的框架可以很容易地扩展到任何空间单元的任何流轨迹之间的空间相互作用，例如，地点（逐点）、地点对（逐对）或指定路线（逐路径），在由时间地理学或生命历程域方法定义的活动空间内。
People are socially divided through urban space, where they experience segregation dynamically. By conceptualising mobilised social inclusion as the gravitational interactions between urban human flow patterns, this article introduces a framework for measuring the extent to which two trajectories interact with one another in daily activity space, in which a series of indices, theoretically equivalent to those developed in segregation research, are produced to capture the interaction potentials among various social groups from different perspectives. These scopes include absolute, relative and multi-group using pairs of places as analysis units, as well as place-based measurements that are very sensitive to the spatial configuration of the flow-based spatial interaction potentials. The application in the case of Greater London implies that the relative indices capture the spatial differentiation among various modes of interactions, portraying the between-domains exposure levels might be experienced by different occupations when they commute across places. The study demonstrates that mobilised interaction is influenced by between-domains mobility, and the proposed approach can provide a network understanding of social exposure through the edges between every two place nodes, going beyond existing place-based measurements. In addition, the changes between place-based results aggregated by origins and those determined by destinations showcase the dynamic shift of in-site exposure during peak hours. Though only commuting behaviours are demonstrated in this work, the framework introduced can be easily extended to the spatial interactions between any flow trajectories for any spatial unit, e.g., place (point-wise), place pairs (pair-wise), or specified routes (path-wise), within the activity space defined by time geography or the life-course domain approach.