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Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment

This research proposes a collection of urban heat island (UHI) risk indicators under four UHI risk components: hazard, exposure, sensitivity, and adaptive capacity. There are 46 UHI risk indicators linked to three pillars of sustainability: social equity, economic viability, and environmental protec...

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Autor principal: Thanvisitthpon, Nawhath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859186/
https://www.ncbi.nlm.nih.gov/pubmed/36673928
http://dx.doi.org/10.3390/ijerph20021172
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author Thanvisitthpon, Nawhath
author_facet Thanvisitthpon, Nawhath
author_sort Thanvisitthpon, Nawhath
collection PubMed
description This research proposes a collection of urban heat island (UHI) risk indicators under four UHI risk components: hazard, exposure, sensitivity, and adaptive capacity. There are 46 UHI risk indicators linked to three pillars of sustainability: social equity, economic viability, and environmental protection. In this study, the UHI risk indicators were first validated by experts to determine their relevancy and subsequently applied to randomly sampled dwellers of Thailand’s capital Bangkok. The UHI indicators were further validated with confirmatory factor analysis to determine the factor loadings (0–1) and reliability. Under the hazard component, the percentage of days when the daily minimum temperature is less than the 10th percentile exhibited the highest indicator-level factor loading (0.915). Vehicular traffic was the UHI exposure indicator with the highest factor loading (0.923), and the proportion of green space to build environment was the UHI sensitivity indicator with the highest factor loading (0.910). For the UHI adaptive capacity component, the highest factor loading (0.910) belonged to government policy and action. To effectively mitigate UHI impacts, greater emphasis should be placed on the indicators with highest factor loadings. Essentially, this research is the first to use statistical structural equation modeling to validate UHI indicators.
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spelling pubmed-98591862023-01-21 Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment Thanvisitthpon, Nawhath Int J Environ Res Public Health Article This research proposes a collection of urban heat island (UHI) risk indicators under four UHI risk components: hazard, exposure, sensitivity, and adaptive capacity. There are 46 UHI risk indicators linked to three pillars of sustainability: social equity, economic viability, and environmental protection. In this study, the UHI risk indicators were first validated by experts to determine their relevancy and subsequently applied to randomly sampled dwellers of Thailand’s capital Bangkok. The UHI indicators were further validated with confirmatory factor analysis to determine the factor loadings (0–1) and reliability. Under the hazard component, the percentage of days when the daily minimum temperature is less than the 10th percentile exhibited the highest indicator-level factor loading (0.915). Vehicular traffic was the UHI exposure indicator with the highest factor loading (0.923), and the proportion of green space to build environment was the UHI sensitivity indicator with the highest factor loading (0.910). For the UHI adaptive capacity component, the highest factor loading (0.910) belonged to government policy and action. To effectively mitigate UHI impacts, greater emphasis should be placed on the indicators with highest factor loadings. Essentially, this research is the first to use statistical structural equation modeling to validate UHI indicators. MDPI 2023-01-09 /pmc/articles/PMC9859186/ /pubmed/36673928 http://dx.doi.org/10.3390/ijerph20021172 Text en © 2023 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Thanvisitthpon, Nawhath
Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment
title Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment
title_full Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment
title_fullStr Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment
title_full_unstemmed Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment
title_short Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment
title_sort statistically validated urban heat island risk indicators for uhi susceptibility assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859186/
https://www.ncbi.nlm.nih.gov/pubmed/36673928
http://dx.doi.org/10.3390/ijerph20021172
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