Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142424
Title: Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru
Authors: Roy, Debraj
Lees, Michael Harold
Pfeffer, Karin
Sloot, Peter M. A.
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Roy, D., Lees, M. H., Pfeffer, K., & Sloot, P. M. A. (2018). Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru. Cities, 74, 269-276. doi:10.1016/j.cities.2017.12.014
Journal: Cities
Abstract: The existence of slums or informal settlements is common to most cities of developing countries. In India, slums contain a wealth of diversity that is masked by a high level of poverty and rather insufficient access to resources. Recent studies have identified that the conventional perception of slums as distinctive homogeneous settlements is incorrect, rather slums are diverse and complex systems that cannot be addressed through one-size fits all approaches. In this paper we investigate Tilly's theory on group segregation and how it reproduces or reinforces inequality within the slums of Bengaluru. We apply statistical techniques (correspondence analysis and regression) to novel field data from 37 slums in Bengaluru. First, we find high levels of spatial and group segregation by religion across the slums of Bengaluru. Second, we find that segregation leads to opportunity bias among slum dwellers, which inhibits equitable access to jobs in the labour market. Finally, the results show that insufficient access to resources constrain the income generation and leads to emerging coping strategies. The results indicate that group identity is key to addressing disparity and how solving inequality can drastically impact group identity. Our results show that targeting horizontal inequality (as compared to vertical inequality) may increase the rate of successful interventions for each of the segregated groups of slum dwellers.
URI: https://hdl.handle.net/10356/142424
ISSN: 0264-2751
DOI: 10.1016/j.cities.2017.12.014
Rights: © 2017 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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