The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling
The rapid urban development promotes the need for skyscrapers, which vastly adopt a modern architecture design using reflective materials on the façade of the building, particularly for the aesthetic purpose. Nevertheless, outdoor glare or reflected daylight from a highly reflective building façade...
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Chulalongkorn University, Faculty of Fine and Applied Arts
2021
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100494923&doi=10.4186%2fej.2021.25.1.211&partnerID=40&md5=0bb27649f093db6540b6c024c3fbaac3 |
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2-s2.0-85100494923 Ishak N.M.; Jenatabadi H.S.; Mustafa S.N.A.M.; Abdullah J. The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling 2021 Engineering Journal 25 1 10.4186/ej.2021.25.1.211 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100494923&doi=10.4186%2fej.2021.25.1.211&partnerID=40&md5=0bb27649f093db6540b6c024c3fbaac3 The rapid urban development promotes the need for skyscrapers, which vastly adopt a modern architecture design using reflective materials on the façade of the building, particularly for the aesthetic purpose. Nevertheless, outdoor glare or reflected daylight from a highly reflective building façade may cause visual and thermal discomforts for the residents in the neighborhood buildings and outdoor pedestrians. This might cause uncomfortable glare for individuals outside the building. The amount of glare will be higher as a result of greater solar radiation obtained all year round in tropical countries. Regression and presently structural equation modeling are the best-known statistical modeling in approximating the connection between building facade reflectivity and pedestrian’s visual performance. Nevertheless, those methodologies have their own limitations. The primary aim of this research is to compare the effect of building facade reflectivity on pedestrian visual comfort by using four core statistical approximation approaches which include regression, partial least square, structural equation modeling with maximum likelihood estimator, and structural equation modeling with Bayesian estimator. The present study introduces a novel as well as practical modeling and predicting concepts for investigators and specialists in the building façade reflectivity study field. © 2021, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved. Chulalongkorn University, Faculty of Fine and Applied Arts 1258281 English Article All Open Access; Gold Open Access |
author |
Ishak N.M.; Jenatabadi H.S.; Mustafa S.N.A.M.; Abdullah J. |
spellingShingle |
Ishak N.M.; Jenatabadi H.S.; Mustafa S.N.A.M.; Abdullah J. The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling |
author_facet |
Ishak N.M.; Jenatabadi H.S.; Mustafa S.N.A.M.; Abdullah J. |
author_sort |
Ishak N.M.; Jenatabadi H.S.; Mustafa S.N.A.M.; Abdullah J. |
title |
The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling |
title_short |
The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling |
title_full |
The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling |
title_fullStr |
The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling |
title_full_unstemmed |
The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling |
title_sort |
The impact of building façade reflectivity on pedestrian visual comfort with the application of bayesian structural equation modeling |
publishDate |
2021 |
container_title |
Engineering Journal |
container_volume |
25 |
container_issue |
1 |
doi_str_mv |
10.4186/ej.2021.25.1.211 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100494923&doi=10.4186%2fej.2021.25.1.211&partnerID=40&md5=0bb27649f093db6540b6c024c3fbaac3 |
description |
The rapid urban development promotes the need for skyscrapers, which vastly adopt a modern architecture design using reflective materials on the façade of the building, particularly for the aesthetic purpose. Nevertheless, outdoor glare or reflected daylight from a highly reflective building façade may cause visual and thermal discomforts for the residents in the neighborhood buildings and outdoor pedestrians. This might cause uncomfortable glare for individuals outside the building. The amount of glare will be higher as a result of greater solar radiation obtained all year round in tropical countries. Regression and presently structural equation modeling are the best-known statistical modeling in approximating the connection between building facade reflectivity and pedestrian’s visual performance. Nevertheless, those methodologies have their own limitations. The primary aim of this research is to compare the effect of building facade reflectivity on pedestrian visual comfort by using four core statistical approximation approaches which include regression, partial least square, structural equation modeling with maximum likelihood estimator, and structural equation modeling with Bayesian estimator. The present study introduces a novel as well as practical modeling and predicting concepts for investigators and specialists in the building façade reflectivity study field. © 2021, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved. |
publisher |
Chulalongkorn University, Faculty of Fine and Applied Arts |
issn |
1258281 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677895292944384 |