Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches

Extreme heat is the leading cause of heat-related mortality around the world. Extracting heat vulnerability information from the urban complexity system is crucial for urban health studies. Using heat vulnerability index (HVI) is the most common approach for urban planners to locate the places with...

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Main Authors: Xue Liu, Wenze Yue, Xuchao Yang, Kejia Hu, Wei Zhang, Muyi Huang
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/9717658
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author Xue Liu
Wenze Yue
Xuchao Yang
Kejia Hu
Wei Zhang
Muyi Huang
author_facet Xue Liu
Wenze Yue
Xuchao Yang
Kejia Hu
Wei Zhang
Muyi Huang
author_sort Xue Liu
collection DOAJ
description Extreme heat is the leading cause of heat-related mortality around the world. Extracting heat vulnerability information from the urban complexity system is crucial for urban health studies. Using heat vulnerability index (HVI) is the most common approach for urban planners to locate the places with high vulnerability for intervention and protection. Previous studies have demonstrated that HVI can play a vital role in determining which areas are at risk of heat-related deaths. Both equal weight approach (EWA) and principal component analysis (PCA) are the conventional methods to aggregate indicators to HVI. However, seldom studies have compared the differences between these two approaches in estimating HVI. In this paper, we evaluated the HVIs in Hangzhou in 2013, employing EWA and PCA, and assessed the accuracies of these two HVIs by using heat-related deaths. Our results show that both HVI maps showed that areas with high vulnerability are located in the central area while those with low vulnerability are located in the suburban area. The comparison between HVIEWA and HVIPCA shows significantly different spatial distributions, which is caused by the various weight factors in EWA and PCA. The relationship between HVIEWA and heat-related deaths performs better than the relationship between HVIPCA and deaths, implying EWA could be a better method to evaluate heat vulnerability than PCA. The HVIEWA can provide a spatial distribution of heat vulnerability at intracity to direct heat adaptation and emergency capacity planning.
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institution Kabale University
issn 1076-2787
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language English
publishDate 2020-01-01
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series Complexity
spelling doaj-art-3eec5a85e3704776adf149c8ef92f20f2025-08-20T03:35:53ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/97176589717658Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two ApproachesXue Liu0Wenze Yue1Xuchao Yang2Kejia Hu3Wei Zhang4Muyi Huang5Department of Land Management, Zhejiang University, Hangzhou 310058, ChinaDepartment of Land Management, Zhejiang University, Hangzhou 310058, ChinaCollege of Ocean, Zhejiang University, Zhoushan 316021, ChinaCollege of Ocean, Zhejiang University, Zhoushan 316021, ChinaShanghai Institute of Geological Survey, Shanghai 200072, ChinaDepartment of Environmental Engineering, Anhui Jianzhu University, Hefei 230601, ChinaExtreme heat is the leading cause of heat-related mortality around the world. Extracting heat vulnerability information from the urban complexity system is crucial for urban health studies. Using heat vulnerability index (HVI) is the most common approach for urban planners to locate the places with high vulnerability for intervention and protection. Previous studies have demonstrated that HVI can play a vital role in determining which areas are at risk of heat-related deaths. Both equal weight approach (EWA) and principal component analysis (PCA) are the conventional methods to aggregate indicators to HVI. However, seldom studies have compared the differences between these two approaches in estimating HVI. In this paper, we evaluated the HVIs in Hangzhou in 2013, employing EWA and PCA, and assessed the accuracies of these two HVIs by using heat-related deaths. Our results show that both HVI maps showed that areas with high vulnerability are located in the central area while those with low vulnerability are located in the suburban area. The comparison between HVIEWA and HVIPCA shows significantly different spatial distributions, which is caused by the various weight factors in EWA and PCA. The relationship between HVIEWA and heat-related deaths performs better than the relationship between HVIPCA and deaths, implying EWA could be a better method to evaluate heat vulnerability than PCA. The HVIEWA can provide a spatial distribution of heat vulnerability at intracity to direct heat adaptation and emergency capacity planning.http://dx.doi.org/10.1155/2020/9717658
spellingShingle Xue Liu
Wenze Yue
Xuchao Yang
Kejia Hu
Wei Zhang
Muyi Huang
Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches
Complexity
title Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches
title_full Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches
title_fullStr Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches
title_full_unstemmed Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches
title_short Mapping Urban Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches
title_sort mapping urban heat vulnerability of extreme heat in hangzhou via comparing two approaches
url http://dx.doi.org/10.1155/2020/9717658
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AT kejiahu mappingurbanheatvulnerabilityofextremeheatinhangzhouviacomparingtwoapproaches
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