Socio-economic drivers of increasing number of slums in Chile

IF 0.7 Q3 GEOGRAPHY GeoScape Pub Date : 2022-06-01 DOI:10.2478/geosc-2022-0005
F. Vergara-Perucich
{"title":"Socio-economic drivers of increasing number of slums in Chile","authors":"F. Vergara-Perucich","doi":"10.2478/geosc-2022-0005","DOIUrl":null,"url":null,"abstract":"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 usefulness for the design of housing policies. Among the results, low household income and the presence of international immigrants explain an increase in the probability of housing precariousness, while the presence of renters and heads of household with postgraduate degrees decreases this possibility. In addition to the specific scope for the Chilean case, the article shares a methodological strategy that can be replicated in other countries and cities to develop similar diagnoses. Highlights for public administration, management and planning: • A predictive model is developed using census data to identify the areas of the city where vulnerability of housing measured by socioeconomic factors may reflect precariousness of housing. • Areas of the city with high rate of international immigrants and/or low-income households tend to predict precariousness of housing. • Areas of the city where households’ heads have postgraduate degrees and/or are tenants tend to have less probability of developing precarious housing.","PeriodicalId":42291,"journal":{"name":"GeoScape","volume":"16 1","pages":"55 - 64"},"PeriodicalIF":0.7000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GeoScape","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/geosc-2022-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

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 usefulness for the design of housing policies. Among the results, low household income and the presence of international immigrants explain an increase in the probability of housing precariousness, while the presence of renters and heads of household with postgraduate degrees decreases this possibility. In addition to the specific scope for the Chilean case, the article shares a methodological strategy that can be replicated in other countries and cities to develop similar diagnoses. Highlights for public administration, management and planning: • A predictive model is developed using census data to identify the areas of the city where vulnerability of housing measured by socioeconomic factors may reflect precariousness of housing. • Areas of the city with high rate of international immigrants and/or low-income households tend to predict precariousness of housing. • Areas of the city where households’ heads have postgraduate degrees and/or are tenants tend to have less probability of developing precarious housing.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
智利贫民窟数量增加的社会经济驱动因素
摘要2017年至2020年间,智利贫民窟的家庭数量增加了73.52%,这导致该州紧急制定住房解决方案,以调整该地区的公共政策。本文通过探索性统计分析为这一讨论做出了贡献,以确定最有助于解释智利城市贫民窟形成的社会经济驱动因素。由此产生的预测模型在该国首都大圣地亚哥进行了测试,结果良好,验证了其对住房政策设计的有用性。在这些结果中,低家庭收入和国际移民的存在解释了住房不稳定可能性的增加,而租房者和拥有研究生学位的户主的存在降低了这种可能性。除了智利病例的具体范围外,本文还分享了一种方法论策略,可以在其他国家和城市推广,以开发类似的诊断方法。公共行政、管理和规划的亮点:•利用人口普查数据开发了一个预测模型,以确定城市中由社会经济因素衡量的住房脆弱性可能反映住房不稳定的地区。•城市中国际移民率高的地区和/或低收入家庭往往预测住房的不稳定。•在城市中,户主拥有研究生学位和/或是租户的地区,发展不稳定住房的可能性往往较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
GeoScape
GeoScape GEOGRAPHY-
CiteScore
2.70
自引率
7.70%
发文量
7
审稿时长
4 weeks
期刊最新文献
Visualising administrative division dynamics: transformation of borders and names in the Bohemian-Saxonian borderland Assessing current use and visions for sacral complexes in a landscape: An example from Central Europe Measuring the Gender Gap Index using socio-economic variability: A case study based on Modified Global Gender Gap Index (Sehore Municipal Council, India) Differentiation of developmental priorities of different-sized municipalities in the period of acceleration of developmental changes – an example of a mining region Provision of post construction support (PCS) services to state water authorities in Nigeria: constraints and the way forward
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1