Noorullah Kuchai , Dima Albadra , Steve Lo , Sara Saied , Natalia Paszkiewicz , Paul Shepherd , Sukumar Natarajan , John Orr , Jason Hart , Kemi Adeyeye , David Coley
{"title":"通过住房评估矩阵改进住房设计过程","authors":"Noorullah Kuchai , Dima Albadra , Steve Lo , Sara Saied , Natalia Paszkiewicz , Paul Shepherd , Sukumar Natarajan , John Orr , Jason Hart , Kemi Adeyeye , David Coley","doi":"10.1016/j.pdisas.2024.100354","DOIUrl":null,"url":null,"abstract":"<div><p>Millions are living in shelters around the world, often for decades. Architects are rarely trained in shelter design and as a result speculative designs are frequently impractical or insensitive to occupants. In addition, aid agency staff can lack engineering or architectural knowledge, so need support during shelter procurement. Evidence gathered by the authors in seven countries over three years revealed poor conditions within many shelters, including condensation, excessive temperatures, lack of privacy and poor air quality, all of which contribute to increased morbidity and mortality. To address this, the paper proposes a design assessment platform, the Shelter Assessment Matrix (SAM), covering 34 issues. SAM also includes guidance documents that allow users to upskill themselves on a range of topics. The tool was tested in three ways: (i) 11 agency staff were asked to assess the same shelter. The mean score was 45.7/100, standard deviation (SD) 2.96. The narrow SD indicated that SAM provided consistent scoring. (ii) 187 previously deployed shelters were evaluated and scored between 27 and 78. This suggests that SAM generates a range of scores, and that shelters could be improved. This evaluation also provides the first contextualised performance analysis of shelters around the world, and a repository for others to judge their designs against. (iii) Use of the platform resulted in considerable measured uplifts in building science and cultural knowledge. SAM has been made freely available online and has been used by agencies to materially improve the design of shelters for thousands of individuals in four countries.</p></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"23 ","pages":"Article 100354"},"PeriodicalIF":2.6000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590061724000449/pdfft?md5=257c5b32bad5e83edf3dcf136103fa5f&pid=1-s2.0-S2590061724000449-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Improving the shelter design process via a shelter assessment matrix\",\"authors\":\"Noorullah Kuchai , Dima Albadra , Steve Lo , Sara Saied , Natalia Paszkiewicz , Paul Shepherd , Sukumar Natarajan , John Orr , Jason Hart , Kemi Adeyeye , David Coley\",\"doi\":\"10.1016/j.pdisas.2024.100354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Millions are living in shelters around the world, often for decades. Architects are rarely trained in shelter design and as a result speculative designs are frequently impractical or insensitive to occupants. In addition, aid agency staff can lack engineering or architectural knowledge, so need support during shelter procurement. Evidence gathered by the authors in seven countries over three years revealed poor conditions within many shelters, including condensation, excessive temperatures, lack of privacy and poor air quality, all of which contribute to increased morbidity and mortality. To address this, the paper proposes a design assessment platform, the Shelter Assessment Matrix (SAM), covering 34 issues. SAM also includes guidance documents that allow users to upskill themselves on a range of topics. The tool was tested in three ways: (i) 11 agency staff were asked to assess the same shelter. The mean score was 45.7/100, standard deviation (SD) 2.96. The narrow SD indicated that SAM provided consistent scoring. (ii) 187 previously deployed shelters were evaluated and scored between 27 and 78. This suggests that SAM generates a range of scores, and that shelters could be improved. This evaluation also provides the first contextualised performance analysis of shelters around the world, and a repository for others to judge their designs against. (iii) Use of the platform resulted in considerable measured uplifts in building science and cultural knowledge. 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Improving the shelter design process via a shelter assessment matrix
Millions are living in shelters around the world, often for decades. Architects are rarely trained in shelter design and as a result speculative designs are frequently impractical or insensitive to occupants. In addition, aid agency staff can lack engineering or architectural knowledge, so need support during shelter procurement. Evidence gathered by the authors in seven countries over three years revealed poor conditions within many shelters, including condensation, excessive temperatures, lack of privacy and poor air quality, all of which contribute to increased morbidity and mortality. To address this, the paper proposes a design assessment platform, the Shelter Assessment Matrix (SAM), covering 34 issues. SAM also includes guidance documents that allow users to upskill themselves on a range of topics. The tool was tested in three ways: (i) 11 agency staff were asked to assess the same shelter. The mean score was 45.7/100, standard deviation (SD) 2.96. The narrow SD indicated that SAM provided consistent scoring. (ii) 187 previously deployed shelters were evaluated and scored between 27 and 78. This suggests that SAM generates a range of scores, and that shelters could be improved. This evaluation also provides the first contextualised performance analysis of shelters around the world, and a repository for others to judge their designs against. (iii) Use of the platform resulted in considerable measured uplifts in building science and cultural knowledge. SAM has been made freely available online and has been used by agencies to materially improve the design of shelters for thousands of individuals in four countries.
期刊介绍:
Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery.
A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.