首页    期刊浏览 2024年09月18日 星期三
登录注册

文章基本信息

  • 标题:An Australian rental housing conditions research infrastructure
  • 本地全文:下载
  • 作者:Emma Baker ; Lyrian Daniel ; andrew Beer
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-5
  • DOI:10.1038/s41597-022-01136-5
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:Each year the proportion of Australians who rent their home increases and, for the frst time in generations, there are now as many renters as outright homeowners. Researchers and policy makers, however, know very little about housing conditions within australia’s rental housing sector due to a lack of systematic, reliable data . In 2020, a collaboration of Australian universities commissioned a survey of tenant households to build a data infrastructure on the household and demographic characteristics, housing quality and conditions in the australian rental sector. this data infrastructure was designed to be national (representative across all australian States and territories), and balanced across key population characteristics. the resultant australian Rental Housing Conditions Dataset (aRHCD) is a publicly available data infrastructure for researchers and policy makers, providing a basis for national and international research.
国家哲学社会科学文献中心版权所有