The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)

Climate change elevates the rate of emergence of urban heat islands (UHIs), especially in the tropics. UHIs severely affect human comfort and health. Many studies have suggested that urban areas should be properly mitigated or planned. To cope with this, it is best to present the issue using easy-to...

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Published in:International Journal of Sustainable Construction Engineering and Technology
Main Author: Salleh S.A.; Isa N.A.; Siman N.A.; Zakaria N.H.; Pintor L.L.; Yaman R.; Dom N.C.
Format: Article
Language:English
Published: Penerbit UTHM 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185258509&doi=10.30880%2fijscet.2023.14.05.002&partnerID=40&md5=4b82d332530a7d9b186ecbe7ce03ea8e
id 2-s2.0-85185258509
spelling 2-s2.0-85185258509
Salleh S.A.; Isa N.A.; Siman N.A.; Zakaria N.H.; Pintor L.L.; Yaman R.; Dom N.C.
The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)
2023
International Journal of Sustainable Construction Engineering and Technology
14
5 Special Issue
10.30880/ijscet.2023.14.05.002
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185258509&doi=10.30880%2fijscet.2023.14.05.002&partnerID=40&md5=4b82d332530a7d9b186ecbe7ce03ea8e
Climate change elevates the rate of emergence of urban heat islands (UHIs), especially in the tropics. UHIs severely affect human comfort and health. Many studies have suggested that urban areas should be properly mitigated or planned. To cope with this, it is best to present the issue using easy-to-understand approaches to allow for better decision-making, especially during urban planning. Based on the information, adaptations and mitigation strategies can be suggested in order to reduce the impact. Hence, this research was aimed at determining the heat vulnerability index (HVI) of urban areas. This study was conducted in Malaysia in the Klang Valley, a tropical city with a complex urban morphology. Remote sensing techniques were employed to extract and derive the spatial index values for exposure, sensitivity, and adaptive capacity. A principal component analysis (PCA) was used to estimate the vulnerability as well as to generate the HVI. The most vulnerable districts were found to be Petaling (1.00), Kuala Lumpur (0.99), and Putrajaya (0.95). Kuala Lumpur had a level of exposure that was high (0.56), a level of sensitivity that was high (0.84), and capacity to adapt that was low (0.54), while Petaling had a high exposure value (0.56), very high sensitivity (1), and high adaptive capacity (0.72). A Pearson’s correlation (r) test also revealed that the variables used were highly correlated. From the preliminary findings, the vulnerability of the population to high temperatures in the Klang Valley can be identified to help develop adaptative plans that are targeted as a response to rapid warming in the future in Malaysia. © Universiti Tun Hussein Onn Malaysia Publisher’s Office.
Penerbit UTHM
21803242
English
Article
All Open Access; Gold Open Access
author Salleh S.A.; Isa N.A.; Siman N.A.; Zakaria N.H.; Pintor L.L.; Yaman R.; Dom N.C.
spellingShingle Salleh S.A.; Isa N.A.; Siman N.A.; Zakaria N.H.; Pintor L.L.; Yaman R.; Dom N.C.
The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)
author_facet Salleh S.A.; Isa N.A.; Siman N.A.; Zakaria N.H.; Pintor L.L.; Yaman R.; Dom N.C.
author_sort Salleh S.A.; Isa N.A.; Siman N.A.; Zakaria N.H.; Pintor L.L.; Yaman R.; Dom N.C.
title The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)
title_short The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)
title_full The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)
title_fullStr The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)
title_full_unstemmed The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)
title_sort The Development of the Vulnerability Index (VI) using Principal Component Analysis (PCA)
publishDate 2023
container_title International Journal of Sustainable Construction Engineering and Technology
container_volume 14
container_issue 5 Special Issue
doi_str_mv 10.30880/ijscet.2023.14.05.002
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185258509&doi=10.30880%2fijscet.2023.14.05.002&partnerID=40&md5=4b82d332530a7d9b186ecbe7ce03ea8e
description Climate change elevates the rate of emergence of urban heat islands (UHIs), especially in the tropics. UHIs severely affect human comfort and health. Many studies have suggested that urban areas should be properly mitigated or planned. To cope with this, it is best to present the issue using easy-to-understand approaches to allow for better decision-making, especially during urban planning. Based on the information, adaptations and mitigation strategies can be suggested in order to reduce the impact. Hence, this research was aimed at determining the heat vulnerability index (HVI) of urban areas. This study was conducted in Malaysia in the Klang Valley, a tropical city with a complex urban morphology. Remote sensing techniques were employed to extract and derive the spatial index values for exposure, sensitivity, and adaptive capacity. A principal component analysis (PCA) was used to estimate the vulnerability as well as to generate the HVI. The most vulnerable districts were found to be Petaling (1.00), Kuala Lumpur (0.99), and Putrajaya (0.95). Kuala Lumpur had a level of exposure that was high (0.56), a level of sensitivity that was high (0.84), and capacity to adapt that was low (0.54), while Petaling had a high exposure value (0.56), very high sensitivity (1), and high adaptive capacity (0.72). A Pearson’s correlation (r) test also revealed that the variables used were highly correlated. From the preliminary findings, the vulnerability of the population to high temperatures in the Klang Valley can be identified to help develop adaptative plans that are targeted as a response to rapid warming in the future in Malaysia. © Universiti Tun Hussein Onn Malaysia Publisher’s Office.
publisher Penerbit UTHM
issn 21803242
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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