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A platform for research: civil engineering, architecture and urbanism
Evaluating building wayfinding performance in healthcare environment: a novel hybrid decision-making model
The goal of this study is maintained as the process of establishing and validating an evidence-based approach for assessing the quality of hospital’s wayfinding from an environmental standpoint and creating an evaluation tool for the building’s wayfinding performance (WP). To do this, the integrated Multiple-criteria decision-making (MCDM) technique was utilized to examine the independent linkages between users’ movement dynamics based on Factor Analysis and the D-ANP (Decision-making trial and evaluation laboratory (DEMATEL) based Analytical Network Process (ANP)) method. In this regard, experts gave each model’s variable a weight and a significant value. Thus, findings show that experts classified sixteen indicators into three dimensions in the proposed model: physical data (with 50% influence on building wayfinding (BW)), environmental representation data (with 33% influence on BW), and symbolic data of the environment (17% influence on BW). In validating the scheme, the findings met the case criteria, demonstrating tool’s practical feasibility.
Evaluating building wayfinding performance in healthcare environment: a novel hybrid decision-making model
The goal of this study is maintained as the process of establishing and validating an evidence-based approach for assessing the quality of hospital’s wayfinding from an environmental standpoint and creating an evaluation tool for the building’s wayfinding performance (WP). To do this, the integrated Multiple-criteria decision-making (MCDM) technique was utilized to examine the independent linkages between users’ movement dynamics based on Factor Analysis and the D-ANP (Decision-making trial and evaluation laboratory (DEMATEL) based Analytical Network Process (ANP)) method. In this regard, experts gave each model’s variable a weight and a significant value. Thus, findings show that experts classified sixteen indicators into three dimensions in the proposed model: physical data (with 50% influence on building wayfinding (BW)), environmental representation data (with 33% influence on BW), and symbolic data of the environment (17% influence on BW). In validating the scheme, the findings met the case criteria, demonstrating tool’s practical feasibility.
Evaluating building wayfinding performance in healthcare environment: a novel hybrid decision-making model
Pouyan, Amir Ehsan (author) / Ghanbaran, Abdul Hamid (author) / Shakibamanesh, Amir (author)
Architectural Science Review ; 66 ; 443-467
2023-11-02
25 pages
Article (Journal)
Electronic Resource
Unknown
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