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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-9859186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT thanvisitthponnawhath statisticallyvalidatedurbanheatislandriskindicatorsforuhisusceptibilityassessment |