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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.
关于绅士化背景下的居民人口被驱逐问题的辩论仍然激烈，但由于缺乏驱逐程度的经验证据而受到阻碍。缺乏关于绅士化导致的驱逐的定量证据以及收集这些证据的困难，长期以来一直阻碍着对抗这一现象的斗争。在对与绅士化有关的驱逐的定量研究进行系统回顾的基础上，本文考察了研究人员如何试图使用反映绅士化多维特征的一系列统计和制图技术来测量驱逐。我们注意到，这些技术往往难以对因绅士化而被驱逐的个人和家庭的数量提供有意义的估计，而缺乏足够精细的时间和空间尺度的数据又加剧了这种情况。注意到现有方法的局限性，我们最后考察了更新颖的数据源和能够处理更大量（微观）数据的应急方法的潜力，以及涉及受影响街区本身的参与式地理信息系统（GIS）方法。这意味着，虽然对驱逐问题的定量研究仍然很困难，但驱逐的模式和过程可以通过现有的数据源以及那些自己经历过驱逐的人所产生的数据来推断。