Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru
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 slu...
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sg-ntu-dr.10356-1424242020-06-22T03:40:02Z Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru Roy, Debraj Lees, Michael Harold Pfeffer, Karin Sloot, Peter M. A. School of Computer Science and Engineering Complexity Institute Engineering::Computer science and engineering Slums Religion 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. 2020-06-22T03:40:01Z 2020-06-22T03:40:01Z 2018 Journal Article 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 0264-2751 https://hdl.handle.net/10356/142424 10.1016/j.cities.2017.12.014 2-s2.0-85044375902 74 269 276 en Cities © 2017 Elsevier Ltd. All rights reserved. |
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Engineering::Computer science and engineering Slums Religion Roy, Debraj Lees, Michael Harold Pfeffer, Karin Sloot, Peter M. A. Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru |
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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. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Roy, Debraj Lees, Michael Harold Pfeffer, Karin Sloot, Peter M. A. |
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Article |
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Roy, Debraj Lees, Michael Harold Pfeffer, Karin Sloot, Peter M. A. |
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Roy, Debraj |
title |
Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru |
title_short |
Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru |
title_full |
Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru |
title_fullStr |
Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru |
title_full_unstemmed |
Spatial segregation, inequality, and opportunity bias in the slums of Bengaluru |
title_sort |
spatial segregation, inequality, and opportunity bias in the slums of bengaluru |
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2020 |
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https://hdl.handle.net/10356/142424 |
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1681058864147988480 |