On measuring Muslim segregation in urban India
利用班加罗尔最新选民名册数据和改进的穆斯林姓名识别算法，量化了印度城市中穆斯林的空间隔离，并引入多样性和局部差异两个新指标，揭示了城市内部隔离的复杂模式。
The spatial segregation of Muslims in urban India is central to their social, economic and political marginalisation. However, the quantitative characterisation of Muslim segregation has suffered from the lack of readily available demographic data at high spatial and temporal resolution. This paper demonstrates the feasibility of accurately quantifying Muslim segregation in urban India using the latest electoral rolls data from Bengaluru (a megapolis of over 13 million residents) and an improved open-source algorithm to identify Muslim names. Our approach provides significant improvements over past efforts in this regard. We introduce two new metrics (diversity and local divergence) to account for substantial intra-city variation in the spatial segregation of Muslims. Our analysis suggests that the threefold ghetto–enclave–mixed taxonomy that the extant literature has quantified for entire towns can be found within large urban agglomerations such as Bengaluru. Our quantitative framework for Muslim segregation helps uncover the complex relationship between segregation and the ghettoisation of Muslims in urban India. Our measurement framework uses publicly available data and can be applied to study segregation patterns across urban India.