Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Assessment of the Architectural Variables of Dementia-Friendly Nursing Care Facilities through Model-Based Systems Engineering (MBSE)
As the global population of people with dementia is projected to reach 139 million by 2050, there is a growing focus on strategies supporting their Health and Care Outcomes (HCOs), one of which is dementia-friendly design in healthcare facilities. The built environment of healthcare facilities plays a key role in dementia care. To design healthcare facilities that better align with the HCOs for people with dementia, it is beneficial to assess the effects of Architectural Variables (AVs) on HCOs. The more extensive the consideration of AVs’ effects in design, the greater the capacity to achieve alignment between the built environment and HCOs. For this purpose, this PhD thesis develops a new assessment software which assesses the effects of AVs on HCOs more effectively, shifting from traditional and manual assessment tools in architecture towards systematic and digital approaches. Its development is guided by a methodology that addresses correspondingly three main challenges in previous assessment tools including lack of standard set of AVs and HCOs with widespread consensus, limitation in the holistic and systematic coverage of their interactions in the assessment calculations, and application difficulties of assessment tools. Firstly, this thesis creates a new set of AVs and HCOs through terminology analysis and introduces a new structure of classification for allocating and positioning the AVs and HCOs. In the terminology analysis, AVs and HCOs were extracted from a source of Evidence-Based Design (EBD) studies, then through frequency analysis and statistical tests, representative terms with the most potential for consensus were identified. For the structure of classification, a new structure was developed for AVs and HCOs based on both theoretical and practical investigation approaches to meet a set of fundamental classification criteria. Secondly, Model-Based Systems Engineering (MBSE), a subset of Systems Engineering, is utilized to model the interactions between AVs and HCOs. This approach enables the ...
Assessment of the Architectural Variables of Dementia-Friendly Nursing Care Facilities through Model-Based Systems Engineering (MBSE)
As the global population of people with dementia is projected to reach 139 million by 2050, there is a growing focus on strategies supporting their Health and Care Outcomes (HCOs), one of which is dementia-friendly design in healthcare facilities. The built environment of healthcare facilities plays a key role in dementia care. To design healthcare facilities that better align with the HCOs for people with dementia, it is beneficial to assess the effects of Architectural Variables (AVs) on HCOs. The more extensive the consideration of AVs’ effects in design, the greater the capacity to achieve alignment between the built environment and HCOs. For this purpose, this PhD thesis develops a new assessment software which assesses the effects of AVs on HCOs more effectively, shifting from traditional and manual assessment tools in architecture towards systematic and digital approaches. Its development is guided by a methodology that addresses correspondingly three main challenges in previous assessment tools including lack of standard set of AVs and HCOs with widespread consensus, limitation in the holistic and systematic coverage of their interactions in the assessment calculations, and application difficulties of assessment tools. Firstly, this thesis creates a new set of AVs and HCOs through terminology analysis and introduces a new structure of classification for allocating and positioning the AVs and HCOs. In the terminology analysis, AVs and HCOs were extracted from a source of Evidence-Based Design (EBD) studies, then through frequency analysis and statistical tests, representative terms with the most potential for consensus were identified. For the structure of classification, a new structure was developed for AVs and HCOs based on both theoretical and practical investigation approaches to meet a set of fundamental classification criteria. Secondly, Model-Based Systems Engineering (MBSE), a subset of Systems Engineering, is utilized to model the interactions between AVs and HCOs. This approach enables the ...
Assessment of the Architectural Variables of Dementia-Friendly Nursing Care Facilities through Model-Based Systems Engineering (MBSE)
18.06.2024
Hochschulschrift
Elektronische Ressource
Englisch
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