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  • 标题:A statistical methodology for the socio-spatial assessment of neighborhood life quality
  • 本地全文:下载
  • 作者:Riam Mohamed Elsagher Mahmod ElMorshedy ; Asmaa Abdel Aty Mohamed Ibrahim ; Rowaida Reda Kamel
  • 期刊名称:Cogent Social Sciences
  • 电子版ISSN:2331-1886
  • 出版年度:2018
  • 卷号:4
  • 期号:1
  • 页码:1-42
  • DOI:10.1080/23311886.2018.1528702
  • 出版社:Taylor and Francis Ltd
  • 摘要:Many housing projects suffer from striking dissonance between the physical built environment and their social life.Accordingly, there is a significant need to deduce socio-spatial assessment tools that can predict the resulting community satisfaction based on realizing their psychological and social needs (nonphysical aspects) in terms of the components forming the built environment (physical aspects; architectural, urban design, and planning) to provide an acceptable level of social life quality.From this view, this paper presents a statistical methodology for predicting these qualitative aspects through conducting a questionnaire on four neighborhoods of intermediate social housing level, in Egypt.
  • 关键词:socio- spatial analysis; weighed satisfaction; physiological need; social needs; neighborhood; sustainability assessment tools
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