Pekkonen Maria, Haverinen-Shaughnessy Ulla
Department of Health Protection, National Institute for Health and Welfare, Kuopio, Finland.
Cent Eur J Public Health. 2015 Dec;23(4):314-20. doi: 10.21101/cejph.a4080.
This study presents a comprehensive examination of housing satisfaction in Finland and how it associates with different types of residential area, dwelling and tenure status taking into account socio-demographic and socioeconomic variables.
Associations between housing satisfaction and types of residential area, dwelling and tenure status were analysed by multivariate logistic regression using questionnaire data from a random sample of Finnish households (response rate 44%, N=1,308).
Respondents from rural areas and those living in houses were statistically significantly (p<0.05) more satisfied with indoor thermal conditions in summer than respondents living in city centres (OR 2.01) and apartments (OR 1.75), respectively. Homeowners were more satisfied with the dwelling (OR 3.19), indoor air quality (OR 1.73) and thermal conditions in winter (OR 2.63), and reported moisture or mould damage (OR 0.37) and neighbour noise disturbance (OR 0.60) less frequently than tenants.
Based on this study, the most important factors determining differences in housing satisfaction were tenure status and type of the dwelling. In the context of housing policy development, these results warrant a special consideration of housing quality in rental apartments. The results can also be used for making comparative assessments (e.g. detecting areas of relative strengths or needing improvement) of multifamily buildings and residential areas.
本研究全面考察了芬兰的住房满意度,以及在考虑社会人口和社会经济变量的情况下,住房满意度如何与不同类型的居住区、住宅和居住权状况相关联。
利用来自芬兰家庭随机样本的问卷数据(回复率44%,N = 1308),通过多变量逻辑回归分析住房满意度与居住区类型、住宅和居住权状况之间的关联。
来自农村地区的受访者以及居住在独立房屋中的受访者,在夏季对室内热环境的满意度在统计学上显著高于居住在市中心的受访者(优势比2.01)和居住在公寓中的受访者(优势比1.75)。房屋所有者对住宅(优势比3.19)、室内空气质量(优势比1.73)和冬季热环境(优势比2.63)的满意度更高,并且报告潮湿或霉菌损坏(优势比0.37)和邻里噪音干扰(优势比0.60)的频率低于租户。
基于本研究,决定住房满意度差异的最重要因素是居住权状况和住宅类型。在住房政策制定的背景下,这些结果值得对出租公寓的住房质量给予特别考虑。这些结果还可用于对多户住宅建筑和居住区进行比较评估(例如检测相对优势或需要改进的领域)。