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Prediction of Homelessness and Housing Provisions in Swedish Municipalities

机译:瑞典市政当局对无家可归和住房供应的预测

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This article explores key predictors of homelessness rates in different Swedish municipalities, the accommodation provided and the coverage of accommodation to homelessness. In order to create realistic models, seven sets of factors represent various structural levels in stepwise regressions. These sets are urbanisation, economy, demographic composition, housing market, aggregated individual problems, political majority and policies and organizational features of the social services. The findings show that urbanisation is central to understanding variations in homelessness and has also impact on housing provisions. In addition, higher rent levels as well as aggregated psychiatric problems seem to increase the level of problems. Overall supply of apartments and the proportion of public housing are important factors in providing accommodation, and a demographic factor, such as the proportion of single-parent households, seems to enhance such a provision. Political majority as well as the functional organization of the social services seems independently to impact coverage rates. Despite the importance of urbanisation, findings indicate that a number of factors with impact on the problem and on the possibilities to handle them are manageable by the municipalities.
机译:本文探讨了瑞典不同城市无家可归率的主要预测因素,提供的住宿条件以及无家可归的住宿范围。为了创建现实的模型,七组因子代表逐步回归中的各种结构水平。这些因素包括城市化,经济,人口构成,住房市场,个人问题汇总,政治多数以及社会服务的政策和组织特征。研究结果表明,城市化对于理解无家可归者的变化至关重要,同时也对住房供给产生了影响。另外,较高的租金水平以及综合的精神病问题似乎增加了问题的水平。公寓的总体供应和公共住房的比例是提供住宿的重要因素,而人口因素(例如单亲家庭的比例)似乎会增加这种提供。政治多数和社会服务的职能组织似乎独立地影响覆盖率。尽管城市化非常重要,但调查结果表明,许多影响该问题及其处理可能性的因素是市政当局可控的。

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