A multiscale examination of heat health risk inequality and its drivers in mega-urban agglomeration: A case study in the Yangtze River Delta, China

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 458, P. 142528 - 142528

Published: May 9, 2024

Language: Английский

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Revealing the urban heat exposure risk network: Exploring the possibility of mitigate heat-related risks form a network perspective

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105592 - 105592

Published: June 12, 2024

Language: Английский

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Understanding urban heat vulnerability: Scientometric analysis of five decades of research

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102035 - 102035

Published: June 27, 2024

Urban Heat Vulnerability (UHV) has received increasing attention over the last two decades due to exacerbation of global warming and Island (UHI) effect, amid rapid urbanisation climate change. While there been a notable growth in UHV research, systematic reviews meta-analyses focusing on broader range issues research trajectories are notably absent. This study aims provide comprehensive understanding historical progression, current clusters, emerging trends by utilising scientometric method. It examines 2340 UHV-related scholarly articles published past fifty years (1970s 2020s). The major findings this analysis are: (a) is an area expected rapidly expand; (b) clustered around five interconnected key areas: planning architectural design; environment ecology; public health wellbeing; meteorology; remote sensing; (c) recent shift focus towards wellbeing perspectives studies highlights importance human-social interdisciplinary collaboration; (d) Remote sensing, particularly supported machine learning, significant technical tool research; (e) aligns with UN sustainable development goals contributes achieving urban sustainability resilience. Further advancements will require collaboration, technological innovations, targeted policies effectively address heat impacts protect vulnerable populations.

Language: Английский

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Heat risk assessment and response to green infrastructure based on local climate zones

Building and Environment, Journal Year: 2023, Volume and Issue: 248, P. 111040 - 111040

Published: Nov. 17, 2023

Language: Английский

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Spatial distribution of old neighborhoods based on heat-related health risks assessment: A case study of Changsha City, China

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105740 - 105740

Published: Aug. 11, 2024

Language: Английский

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Combating urban heat: Systematic review of urban resilience and adaptation strategies

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e37001 - e37001

Published: Aug. 27, 2024

Language: Английский

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Measuring urban thermal environment from accessibility-based perspective: A case study in a populous city

Geography and sustainability, Journal Year: 2024, Volume and Issue: 5(3), P. 329 - 342

Published: Feb. 20, 2024

Understanding the spatial interaction among residents, cooling service, and heat risk area in complex urban areas is conducive to developing targeted management. However, traditional thermal environment assessments typically relied on simply linear integration of associated indicators, often neglecting effect. To explore three elements, this study proposes an accessibility-based assessment framework. Using Zhengzhou, a rapidly urbanizing city, as example, remotely sensed images from periods (2010, 2015 2020) were applied extract green space (UGS) hot island (HIA). An improved two-step floating catchment (2SFCA) method bivariate local Moran' I employed whether residents clustering locations are more likely access service or be exposed risk. The results demonstrate that UGS city has been expanding, whereas HIA shrank within inner then increased 2020. Even though may last decade, could exacerbated. Spatial autocorrelation shows increase disadvantageous for resident congregation. when sufficient services provided, these still high developed framework provides novel insight into residents' exposure accessibility, findings assist planners targeting improvement extra locations.

Language: Английский

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Quantifying the Influence of Different Block Types on the Urban Heat Risk in High-Density Cities

Buildings, Journal Year: 2024, Volume and Issue: 14(7), P. 2131 - 2131

Published: July 11, 2024

Urbanization and climate change have led to rising urban temperatures, increasing heat-related health risks. Assessing heat risk is crucial for understanding mitigating these Many studies often overlook the impact of block types on risk, which limits development mitigation strategies during planning. This study aims investigate influence various spatial factors at scale. Firstly, a GIS approach was used generate Local Climate Zones (LCZ) map, represents different types. Secondly, assessment model developed using hazard, exposure, vulnerability indicators. Thirdly, demonstrated in Guangzhou, high-density city China, distribution among An XGBoost analyze risk. Results revealed significant variations susceptibility Specifically, 33.9% LCZ 1–4 areas were classified as being high-risk level, while only 23.8% 6–9 fell into this level. In addition, pervious surface fraction (PSF) had strongest followed by height roughness elements (HRE), building (BSF), sky view factor (SVF). SVF PSF negative HRE BSF positive effect. The provides valuable insights characteristics influenced morphologies. will assist formulating reasonable measures planning level future.

Language: Английский

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Evaluating the Correlation Between Impacting Factors and Land Surface Temperature via Spatial Regression Model and Random Forest

The Professional Geographer, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Sept. 30, 2024

Language: Английский

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Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(2), P. 1172 - 1172

Published: Jan. 9, 2023

This research proposes a collection of urban heat island (UHI) risk indicators under four UHI components: hazard, exposure, sensitivity, and adaptive capacity. There are 46 linked to three pillars sustainability: social equity, economic viability, environmental protection. In this study, the were first validated by experts determine their relevancy subsequently applied randomly sampled dwellers Thailand's capital Bangkok. The further with confirmatory factor analysis loadings (0-1) reliability. Under hazard component, percentage days when daily minimum temperature is less than 10th percentile exhibited highest indicator-level loading (0.915). Vehicular traffic was exposure indicator (0.923), proportion green space build environment sensitivity (0.910). For capacity (0.910) belonged government policy action. To effectively mitigate impacts, greater emphasis should be placed on loadings. Essentially, use statistical structural equation modeling validate indicators.

Language: Английский

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