Measuring and mapping displacement: The problem of quantification in the battle against gentrification
Measuring and mapping displacement: The problem of quantification in the battle against gentrification
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DOI：
10.1177/0042098019851953
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发表时间：
2019-07-08
期刊：
影响因子：
4.7
通讯作者：
Tate, Nicholas
中科院分区：
文献类型：
--
作者：
Easton, Sue;Lees, Loretta;Tate, Nicholas
在中产阶级化的背景下，关于居住人口迁移的争论仍然很激烈，但由于缺乏流离失所程度的经验证据而受到阻碍。长期以来，由于缺乏关于中产阶级化导致的流离失所的定量证据，以及收集这些证据的困难，一直阻碍着打击中产阶级化的斗争。本文在系统回顾与中产阶级化相关的位移定量研究的基础上，考虑了研究人员如何尝试使用一系列反映中产阶级化多维特征的统计和制图技术来测量位移。我们注意到，这些技术往往难以对因中产阶级化而流离失所的个人和家庭数量提供有意义的估计，而缺乏足够细粒度的时间和空间尺度的数据则使情况更加复杂。注意到现有方法的局限性，我们最后考虑了更多新数据源和涉及处理大量（微观）数据的紧急方法的潜力，以及涉及受影响社区本身的参与式地理信息系统方法。这意味着，虽然对流离失所问题进行定量研究仍然很困难，但可以通过现有的数据来源以及从那些自己经历过流离失所的人那里获得的数据推断出流离失所的模式和过程。
Debates concerning residential population displacement in the context of gentrification remain vociferous, but are hampered by a lack of empirical evidence of the extent of the displacement occurring. The lack of quantitative evidence on gentrification-induced displacement and the difficulties in collecting it has long hampered the fight against it. Based on a systematic review of quantitative studies of the displacement associated with gentrification, this article considers how researchers have attempted to measure displacement using a range of statistical and mapping techniques reflecting the multi-dimensional character of gentrification. We note that these techniques often struggle to provide meaningful estimates of the number of individuals and households displaced by gentrification, something compounded by the lack of data available on a sufficiently granular temporal and spatial scale. Noting the limitations of extant methods, we conclude by considering the potential of more novel data sources and emergent methods involving the processing of larger amounts of (micro)data, as well as participatory GIS methods that involve affected communities themselves. This implies that whilst the quantitative study of displacement remains difficult, patterns and processes of displacement can be inferred through existing data sources, as well as data generated from those who themselves have experienced displacement.