A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Data Mining and Retrofit Design for Age-friendly Spaces
https://orcid.org/http://orcid.org/0000-0002-2359-0678
Ageing in place has become the most dominant form of ageing in China. A large number of homes need to be retrofitted. Traditional retrofit designs are influenced by the personal experience of the designer, resulting in uncontrollable quality of the retrofit work. In contrast, this paper uses computer data analysis software to data mine the behaviour of users in interior spaces. The final behavioural data from the mining is used to guide the design of more rational spaces. This approach can provide a replicable methodology for all remodelling processes. In this paper, six common indoor household types for the elderly are selected for the study and the data on the home mobility behaviour of the elderly in these six representative household types is predicted with the aid of computer-related software. In the first step, the most effective path space areas are analysed. In the second step, the visual environment of the path space is analysed. Finally, a data-informed design strategy for age-friendly spaces is proposed.
Data Mining and Retrofit Design for Age-friendly Spaces
https://orcid.org/http://orcid.org/0000-0002-2359-0678
Ageing in place has become the most dominant form of ageing in China. A large number of homes need to be retrofitted. Traditional retrofit designs are influenced by the personal experience of the designer, resulting in uncontrollable quality of the retrofit work. In contrast, this paper uses computer data analysis software to data mine the behaviour of users in interior spaces. The final behavioural data from the mining is used to guide the design of more rational spaces. This approach can provide a replicable methodology for all remodelling processes. In this paper, six common indoor household types for the elderly are selected for the study and the data on the home mobility behaviour of the elderly in these six representative household types is predicted with the aid of computer-related software. In the first step, the most effective path space areas are analysed. In the second step, the visual environment of the path space is analysed. Finally, a data-informed design strategy for age-friendly spaces is proposed.
Data Mining and Retrofit Design for Age-friendly Spaces
https://orcid.org/http://orcid.org/0000-0002-2359-0678
Ageing in place has become the most dominant form of ageing in China. A large number of homes need to be retrofitted. Traditional retrofit designs are influenced by the personal experience of the designer, resulting in uncontrollable quality of the retrofit work. In contrast, this paper uses computer data analysis software to data mine the behaviour of users in interior spaces. The final behavioural data from the mining is used to guide the design of more rational spaces. This approach can provide a replicable methodology for all remodelling processes. In this paper, six common indoor household types for the elderly are selected for the study and the data on the home mobility behaviour of the elderly in these six representative household types is predicted with the aid of computer-related software. In the first step, the most effective path space areas are analysed. In the second step, the visual environment of the path space is analysed. Finally, a data-informed design strategy for age-friendly spaces is proposed.
Data Mining and Retrofit Design for Age-friendly Spaces
Lecture Notes in Civil Engineering
Guo, Wei (editor) / Qian, Kai (editor) / Tang, Honggang (editor) / Gong, Lei (editor) / Liu, Jie (author)
International Conference on Green Building, Civil Engineering and Smart City ; 2023 ; Guiyang, China
2024-02-02
9 pages
Article/Chapter (Book)
Electronic Resource
English
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