Geodemographic classification, a process of categorizing neighborhoods into distinct groups based on their demographic, social, and economic characteristics to create summary profiles, has significantly expanded its applications over the last forty years, from its origins in urban sociology to fields such as health, transportation, and public policy. However, a fundamental issue associated with this classification is that decisions made based on neighborhood profiles are essentially applied not only to the geographic areas but to all residents, which risks marginalizing individuals and households whose characteristics deviate from the established profiles, leading to inequitable treatment in decision-making. This study evaluates whether neighborhood profiles resulting from geodemographic classification serve as fair representations of diverse racial and ethnic subgroups within these neighborhoods. The findings demonstrate that geodemographic classification often yields disparate representations for different racial and ethnic groups in different areas. Individuals and households that are not in the predominant racial and ethnic subgroups within a particular neighborhood consistently experience underrepresentation across a range of demographic, social, and economic domains. This highlights the need for a paradigm shift in neighborhood studies and a people-focused, individual-based approach to the dynamics of neighborhoods.

中文翻译：

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你是你住的地方吗？评估地理人口分类中的种族和民族（错误）代表性

地理人口统计分类是一种根据人口、社会和经济特征将社区划分为不同群体以创建概要概况的过程，在过去四十年中显着扩展了其应用范围，从最初的城市社会学扩展到健康、交通等领域和公共政策。然而，与这种分类相关的一个基本问题是，根据邻里概况做出的决策本质上不仅适用于该地理区域，而且适用于所有居民，这有可能使特征偏离既定概况的个人和家庭边缘化，从而导致在社区中的不公平待遇。决策。本研究评估了地理人口分类产生的邻里概况是否能够公平地代表这些邻里内不同种族和民族亚群。研究结果表明，地理人口统计分类通常会对不同地区的不同种族和族裔群体产生不同的代表性。不属于特定社区内主要种族和族裔亚群体的个人和家庭在一系列人口、社会和经济领域始终面临代表性不足的问题。这凸显了邻里研究范式转变的必要性，以及对邻里动态采取以人为本、以个人为基础的方法的必要性。