2022
DOI: 10.2478/geosc-2022-0005
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Socio-economic drivers of increasing number of slums in Chile

Abstract: Between 2017 and 2020 the number of households living in slums in Chile has increased by 73.52%, which has led the state to urgently develop housing solutions to reorient public policy in this area. This article contributes to this discussion through an exploratory statistical analysis to identify the socio-economic drivers that best help to explain the formation of slums in Chilean cities. The resulting predictive model is tested in Greater Santiago, the nation’s capital, with good results, validating its use… Show more

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Cited by 2 publications
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“…Inefficient tariffs, urban planning, and housing policies have been identified as contributing factors to the crisis situation in housing and communal services, emphasizing the interconnected nature of the challenges of housing policy [12][13][14][15][16]. The ongoing challenges in the delivery of housing have been attributed to ineffective, 2 unsatisfactory, and unviable housing policies, highlighting the importance of commitment and political will to address housing problems [17][18][19][20]. The combination of a small stock of social housing and a large demand from low-income households creates political dilemmas, further underlining the complexities of housing policy [19,[21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…Inefficient tariffs, urban planning, and housing policies have been identified as contributing factors to the crisis situation in housing and communal services, emphasizing the interconnected nature of the challenges of housing policy [12][13][14][15][16]. The ongoing challenges in the delivery of housing have been attributed to ineffective, 2 unsatisfactory, and unviable housing policies, highlighting the importance of commitment and political will to address housing problems [17][18][19][20]. The combination of a small stock of social housing and a large demand from low-income households creates political dilemmas, further underlining the complexities of housing policy [19,[21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%