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A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units
PURPOSE OF REVIEW: This review aims to identify the key factors, methods, and spatial units used in the development and validation of the heat vulnerability index (HVI) and discuss the underlying limitations of the data and methods by evaluating the performance of the HVI. RECENT FINDINGS: Thirteen...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531084/ https://www.ncbi.nlm.nih.gov/pubmed/34745843 http://dx.doi.org/10.1007/s40641-021-00173-3 |
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author | Niu, Yanlin Li, Zhichao Gao, Yuan Liu, Xiaobo Xu, Lei Vardoulakis, Sotiris Yue, Yujuan Wang, Jun Liu, Qiyong |
author_facet | Niu, Yanlin Li, Zhichao Gao, Yuan Liu, Xiaobo Xu, Lei Vardoulakis, Sotiris Yue, Yujuan Wang, Jun Liu, Qiyong |
author_sort | Niu, Yanlin |
collection | PubMed |
description | PURPOSE OF REVIEW: This review aims to identify the key factors, methods, and spatial units used in the development and validation of the heat vulnerability index (HVI) and discuss the underlying limitations of the data and methods by evaluating the performance of the HVI. RECENT FINDINGS: Thirteen studies characterizing the factors of the HVI development and relating the index with validation data were identified. Five types of factors (i.e., hazard exposure, demographic characteristics, socioeconomic conditions, built environment, and underlying health) of the HVI development were identified, and the top five were social cohesion, race, and/or ethnicity, landscape, age, and economic status. The principal component analysis/factor analysis (PCA/FA) was often used in index development, and four types of spatial units (i.e., census tracts, administrative area, postal code, grid) were used for establishing the relationship between factors and the HVI. Moreover, although most studies showed that a higher HVI was often associated with the increase in health risk, the strength of the relationship was weak. SUMMARY: This review provides a retrospect of the major factors, methods, and spatial units used in development and validation of the HVI and helps to define the framework for future studies. In the future, more information on the hazard exposure, underlying health, governance, and protection awareness should be considered in the HVI development, and the duration and location of validation data should be strengthened to verify the reliability of HVI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40641-021-00173-3. |
format | Online Article Text |
id | pubmed-8531084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-85310842021-11-04 A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units Niu, Yanlin Li, Zhichao Gao, Yuan Liu, Xiaobo Xu, Lei Vardoulakis, Sotiris Yue, Yujuan Wang, Jun Liu, Qiyong Curr Clim Change Rep Progress in the Solution Space of Climate Adaptation (E Gilmore, Section Editor) PURPOSE OF REVIEW: This review aims to identify the key factors, methods, and spatial units used in the development and validation of the heat vulnerability index (HVI) and discuss the underlying limitations of the data and methods by evaluating the performance of the HVI. RECENT FINDINGS: Thirteen studies characterizing the factors of the HVI development and relating the index with validation data were identified. Five types of factors (i.e., hazard exposure, demographic characteristics, socioeconomic conditions, built environment, and underlying health) of the HVI development were identified, and the top five were social cohesion, race, and/or ethnicity, landscape, age, and economic status. The principal component analysis/factor analysis (PCA/FA) was often used in index development, and four types of spatial units (i.e., census tracts, administrative area, postal code, grid) were used for establishing the relationship between factors and the HVI. Moreover, although most studies showed that a higher HVI was often associated with the increase in health risk, the strength of the relationship was weak. SUMMARY: This review provides a retrospect of the major factors, methods, and spatial units used in development and validation of the HVI and helps to define the framework for future studies. In the future, more information on the hazard exposure, underlying health, governance, and protection awareness should be considered in the HVI development, and the duration and location of validation data should be strengthened to verify the reliability of HVI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40641-021-00173-3. Springer International Publishing 2021-04-27 2021 /pmc/articles/PMC8531084/ /pubmed/34745843 http://dx.doi.org/10.1007/s40641-021-00173-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Progress in the Solution Space of Climate Adaptation (E Gilmore, Section Editor) Niu, Yanlin Li, Zhichao Gao, Yuan Liu, Xiaobo Xu, Lei Vardoulakis, Sotiris Yue, Yujuan Wang, Jun Liu, Qiyong A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units |
title | A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units |
title_full | A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units |
title_fullStr | A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units |
title_full_unstemmed | A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units |
title_short | A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units |
title_sort | systematic review of the development and validation of the heat vulnerability index: major factors, methods, and spatial units |
topic | Progress in the Solution Space of Climate Adaptation (E Gilmore, Section Editor) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531084/ https://www.ncbi.nlm.nih.gov/pubmed/34745843 http://dx.doi.org/10.1007/s40641-021-00173-3 |
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