Heat Vulnerability Index - Australia (SA1) 2021
공공데이터포털
Heat Vulnerability Index (HVI) including heat exposure, sensitivity, and adaptive capability indicators were created for whole Australia.The dataset supports the development of a national heat vulnerability assessment toolkit for Australia, designed to identify areas and populations most susceptible to heat-related risks. The project addresses the growing need for understanding the relationship between urbanization, land surface temperature (LST), and the urban heat island effect, particularly for vulnerable communities. Integrating satellite-derived environmental data (LST, Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI)) with socioeconomic data, this toolkit provides a comprehensive resource for building heat-resilient cities and suburbs. This dataset includes both raw environmental data for the 2020-2021 Australian summer (November to March) and a calculated Heat Vulnerability Index (HVI) aggregated to the Australian Bureau of Statistics (ABS) Statistical Area Level 1 (SA1) polygon dataset. The HVI, based on the IPCC's vulnerability conceptual framework, is a composite index comprised of three core components: heat exposure (derived from LST), sensitivity to heat (influenced by socioeconomic factors), and adaptive capability. Each SA1 is assigned a vulnerability rating ranging from 0 to 5, with 0 indicating no population and 5 representing high vulnerability, based on the aggregated indicator scores and quartile distribution. The methodology employs Google Earth Engine (GEE) to derive LST, NDBI, and NDVI. The HVI, along with its components, allows for spatial analysis and facilitates understanding of the complex relationships between heat, environmental factors, and socioeconomic conditions, enabling targeted policy and decision-making at local levels. This work aims to support dynamic and interactive vulnerability assessment, enabling users to update and construct their own indicators and indices for diverse applications. Detailed methodology for HVI generation can be found in this paper. Additional resources are available on the project's GitHub repository, the web application, and the toolkit.
Heat Vulnerability Index - City of Melbourne (SA1) 2021
공공데이터포털
Heat Vulnerability Index (HVI) including heat exposure, sensitivity, and adaptive capability indicators were created for City of Melbourne.The dataset supports the development of a national heat vulnerability assessment toolkit for Australia, designed to identify areas and populations most susceptible to heat-related risks. The project addresses the growing need for understanding the relationship between urbanization, land surface temperature (LST), and the urban heat island effect, particularly for vulnerable communities. Integrating satellite-derived environmental data (LST, Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI)) with socioeconomic data, this toolkit provides a comprehensive resource for building heat-resilient cities and suburbs. This dataset includes both raw environmental data for the 2020-2021 Australian summer (November to March) and a calculated Heat Vulnerability Index (HVI) aggregated to the Australian Bureau of Statistics (ABS) Statistical Area Level 1 (SA1) polygon dataset. The HVI, based on the IPCC's vulnerability conceptual framework, is a composite index comprised of three core components: heat exposure (derived from LST), sensitivity to heat (influenced by socioeconomic factors), and adaptive capability. Each SA1 is assigned a vulnerability rating ranging from 0 to 5, with 0 indicating no population and 5 representing high vulnerability, based on the aggregated indicator scores and quartile distribution. The methodology employs Google Earth Engine (GEE) to derive LST, NDBI, and NDVI. The HVI, along with its components, allows for spatial analysis and facilitates understanding of the complex relationships between heat, environmental factors, and socioeconomic conditions, enabling targeted policy and decision-making at local levels. This work aims to support dynamic and interactive vulnerability assessment, enabling users to update and construct their own indicators and indices for diverse applications. Detailed methodology for HVI generation can be found in this paper. Additional resources are available on the project's GitHub repository, the web application, and the toolkit.
Heat Vulnerability Index - City of Greater Bendigo (SA1) 2021
공공데이터포털
Heat Vulnerability Index (HVI) including heat exposure, sensitivity, and adaptive capability indicators were created for City of Greater Bendigo.The dataset supports the development of a national heat vulnerability assessment toolkit for Australia, designed to identify areas and populations most susceptible to heat-related risks. The project addresses the growing need for understanding the relationship between urbanization, land surface temperature (LST), and the urban heat island effect, particularly for vulnerable communities. Integrating satellite-derived environmental data (LST, Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI)) with socioeconomic data, this toolkit provides a comprehensive resource for building heat-resilient cities and suburbs. This dataset includes both raw environmental data for the 2020-2021 Australian summer (November to March) and a calculated Heat Vulnerability Index (HVI) aggregated to the Australian Bureau of Statistics (ABS) Statistical Area Level 1 (SA1) polygon dataset. The HVI, based on the IPCC's vulnerability conceptual framework, is a composite index comprised of three core components: heat exposure (derived from LST), sensitivity to heat (influenced by socioeconomic factors), and adaptive capability. Each SA1 is assigned a vulnerability rating ranging from 0 to 5, with 0 indicating no population and 5 representing high vulnerability, based on the aggregated indicator scores and quartile distribution. The methodology employs Google Earth Engine (GEE) to derive LST, NDBI, and NDVI. The HVI, along with its components, allows for spatial analysis and facilitates understanding of the complex relationships between heat, environmental factors, and socioeconomic conditions, enabling targeted policy and decision-making at local levels. This work aims to support dynamic and interactive vulnerability assessment, enabling users to update and construct their own indicators and indices for diverse applications. Detailed methodology for HVI generation can be found in this paper. Additional resources are available on the project's GitHub repository, the web application, and the toolkit.
Integrated Heat Vulnerability Index for Culturally and Linguistically Diverse (CALD) and Non-CALD Populations (2021)
공공데이터포털
This dataset provides a composite measure of heat vulnerability for Culturally and Linguistically Diverse (CALD) populations in Australia, integrating three key indicators: heat exposure, heat sensibility, and heat adaptive capability. Derived from social and environmental variables in CALD-specific AURIN datasets, it provides data for 2001, 2011, 2016, and 2021, utilising the 2021 SA1 boundaries to enable retrospective comparison. This framework allows for the assessment of heat vulnerability trends across diverse neighbourhoods, supporting targeted strategies for mitigating heat-related risks and fostering resilience and equity in urban environments. Effective Use Case Descriptions: Heat Vulnerability Assessment and Planning: Urban planners and environmental agencies can use the Integrated Heat Vulnerability Index to identify and prioritise CALD and non-CALD neighbourhoods most at risk from heat-related impacts. By analysing the index, they can develop targeted heat mitigation strategies such as enhancing green spaces, improving building insulation, or increasing access to cooling centres. This data-driven approach ensures resources are allocated effectively to areas with the highest vulnerability. Public Health Interventions: Public health officials can utilise the heat vulnerability index to assess the risk of heat-related health issues in different neighbourhoods. By integrating indicators of heat exposure, sensibility, and adaptive capability, health agencies can design and implement targeted outreach programs, heat-health warnings, and community support initiatives to protect vulnerable populations during extreme heat events. Climate Adaptation Strategies: Climate resilience experts can apply the index to evaluate the effectiveness of past and current climate adaptation measures. By comparing heat vulnerability trends over time, they can identify gaps in adaptive capacity and recommend improvements to climate resilience strategies. This helps ensure that adaptation efforts are addressing the needs of the most affected communities. Policy Development and Advocacy: Policymakers and advocacy groups can leverage the data to support evidence-based policy development and advocate for climate justice. The index provides a clear picture of how heat vulnerability varies across neighbourhoods, allowing for the formulation of policies that address inequities and promote inclusive urban planning. It can also be used to justify funding for heat mitigation and adaptation projects in vulnerable areas. Community Engagement and Education: Community organisations can use the heat vulnerability index to raise awareness about heat risks and promote community-driven solutions. By sharing insights on heat exposure and adaptive capabilities, these organisations can empower residents to participate in local heat resilience initiatives and advocate for improvements in their neighbourhoods. Research and Academic Studies: Researchers can use the index to study the relationship between heat vulnerability and various socio-environmental factors. The longitudinal data enables analyses of how changes in urban development, demographic shifts, and climate change impact heat vulnerability over time, contributing to the broader understanding of environmental justice and urban resilience.
Integrated Heat Vulnerability Index for Culturally and Linguistically Diverse (CALD) and Non-CALD Populations (2016)
공공데이터포털
This dataset provides a composite measure of heat vulnerability for Culturally and Linguistically Diverse (CALD) populations in Australia, integrating three key indicators: heat exposure, heat sensibility, and heat adaptive capability. Derived from social and environmental variables in CALD-specific AURIN datasets, it provides data for 2001, 2011, 2016, and 2021, utilising the 2021 SA1 boundaries to enable retrospective comparison. This framework allows for the assessment of heat vulnerability trends across diverse neighbourhoods, supporting targeted strategies for mitigating heat-related risks and fostering resilience and equity in urban environments. Effective Use Case Descriptions: Heat Vulnerability Assessment and Planning: Urban planners and environmental agencies can use the Integrated Heat Vulnerability Index to identify and prioritise CALD and non-CALD neighbourhoods most at risk from heat-related impacts. By analysing the index, they can develop targeted heat mitigation strategies such as enhancing green spaces, improving building insulation, or increasing access to cooling centres. This data-driven approach ensures resources are allocated effectively to areas with the highest vulnerability. Public Health Interventions: Public health officials can utilise the heat vulnerability index to assess the risk of heat-related health issues in different neighbourhoods. By integrating indicators of heat exposure, sensibility, and adaptive capability, health agencies can design and implement targeted outreach programs, heat-health warnings, and community support initiatives to protect vulnerable populations during extreme heat events. Climate Adaptation Strategies: Climate resilience experts can apply the index to evaluate the effectiveness of past and current climate adaptation measures. By comparing heat vulnerability trends over time, they can identify gaps in adaptive capacity and recommend improvements to climate resilience strategies. This helps ensure that adaptation efforts are addressing the needs of the most affected communities. Policy Development and Advocacy: Policymakers and advocacy groups can leverage the data to support evidence-based policy development and advocate for climate justice. The index provides a clear picture of how heat vulnerability varies across neighbourhoods, allowing for the formulation of policies that address inequities and promote inclusive urban planning. It can also be used to justify funding for heat mitigation and adaptation projects in vulnerable areas. Community Engagement and Education: Community organisations can use the heat vulnerability index to raise awareness about heat risks and promote community-driven solutions. By sharing insights on heat exposure and adaptive capabilities, these organisations can empower residents to participate in local heat resilience initiatives and advocate for improvements in their neighbourhoods. Research and Academic Studies: Researchers can use the index to study the relationship between heat vulnerability and various socio-environmental factors. The longitudinal data enables analyses of how changes in urban development, demographic shifts, and climate change impact heat vulnerability over time, contributing to the broader understanding of environmental justice and urban resilience.
Integrated Heat Vulnerability Index for Culturally and Linguistically Diverse (CALD) and Non-CALD Populations (2006)
공공데이터포털
This dataset provides a composite measure of heat vulnerability for Culturally and Linguistically Diverse (CALD) populations in Australia, integrating three key indicators: heat exposure, heat sensibility, and heat adaptive capability. Derived from social and environmental variables in CALD-specific AURIN datasets, it provides data for 2001, 2011, 2016, and 2021, utilising the 2021 SA1 boundaries to enable retrospective comparison. This framework allows for the assessment of heat vulnerability trends across diverse neighbourhoods, supporting targeted strategies for mitigating heat-related risks and fostering resilience and equity in urban environments. Effective Use Case Descriptions: Heat Vulnerability Assessment and Planning: Urban planners and environmental agencies can use the Integrated Heat Vulnerability Index to identify and prioritise CALD and non-CALD neighbourhoods most at risk from heat-related impacts. By analysing the index, they can develop targeted heat mitigation strategies such as enhancing green spaces, improving building insulation, or increasing access to cooling centres. This data-driven approach ensures resources are allocated effectively to areas with the highest vulnerability. Public Health Interventions: Public health officials can utilise the heat vulnerability index to assess the risk of heat-related health issues in different neighbourhoods. By integrating indicators of heat exposure, sensibility, and adaptive capability, health agencies can design and implement targeted outreach programs, heat-health warnings, and community support initiatives to protect vulnerable populations during extreme heat events. Climate Adaptation Strategies: Climate resilience experts can apply the index to evaluate the effectiveness of past and current climate adaptation measures. By comparing heat vulnerability trends over time, they can identify gaps in adaptive capacity and recommend improvements to climate resilience strategies. This helps ensure that adaptation efforts are addressing the needs of the most affected communities. Policy Development and Advocacy: Policymakers and advocacy groups can leverage the data to support evidence-based policy development and advocate for climate justice. The index provides a clear picture of how heat vulnerability varies across neighbourhoods, allowing for the formulation of policies that address inequities and promote inclusive urban planning. It can also be used to justify funding for heat mitigation and adaptation projects in vulnerable areas. Community Engagement and Education: Community organisations can use the heat vulnerability index to raise awareness about heat risks and promote community-driven solutions. By sharing insights on heat exposure and adaptive capabilities, these organisations can empower residents to participate in local heat resilience initiatives and advocate for improvements in their neighbourhoods. Research and Academic Studies: Researchers can use the index to study the relationship between heat vulnerability and various socio-environmental factors. The longitudinal data enables analyses of how changes in urban development, demographic shifts, and climate change impact heat vulnerability over time, contributing to the broader understanding of environmental justice and urban resilience.
Integrated Heat Vulnerability Index for Culturally and Linguistically Diverse (CALD) and Non-CALD Populations (2011)
공공데이터포털
This dataset provides a composite measure of heat vulnerability for Culturally and Linguistically Diverse (CALD) populations in Australia, integrating three key indicators: heat exposure, heat sensibility, and heat adaptive capability. Derived from social and environmental variables in CALD-specific AURIN datasets, it provides data for 2001, 2011, 2016, and 2021, utilising the 2021 SA1 boundaries to enable retrospective comparison. This framework allows for the assessment of heat vulnerability trends across diverse neighbourhoods, supporting targeted strategies for mitigating heat-related risks and fostering resilience and equity in urban environments. Effective Use Case Descriptions: Heat Vulnerability Assessment and Planning: Urban planners and environmental agencies can use the Integrated Heat Vulnerability Index to identify and prioritise CALD and non-CALD neighbourhoods most at risk from heat-related impacts. By analysing the index, they can develop targeted heat mitigation strategies such as enhancing green spaces, improving building insulation, or increasing access to cooling centres. This data-driven approach ensures resources are allocated effectively to areas with the highest vulnerability. Public Health Interventions: Public health officials can utilise the heat vulnerability index to assess the risk of heat-related health issues in different neighbourhoods. By integrating indicators of heat exposure, sensibility, and adaptive capability, health agencies can design and implement targeted outreach programs, heat-health warnings, and community support initiatives to protect vulnerable populations during extreme heat events. Climate Adaptation Strategies: Climate resilience experts can apply the index to evaluate the effectiveness of past and current climate adaptation measures. By comparing heat vulnerability trends over time, they can identify gaps in adaptive capacity and recommend improvements to climate resilience strategies. This helps ensure that adaptation efforts are addressing the needs of the most affected communities. Policy Development and Advocacy: Policymakers and advocacy groups can leverage the data to support evidence-based policy development and advocate for climate justice. The index provides a clear picture of how heat vulnerability varies across neighbourhoods, allowing for the formulation of policies that address inequities and promote inclusive urban planning. It can also be used to justify funding for heat mitigation and adaptation projects in vulnerable areas. Community Engagement and Education: Community organisations can use the heat vulnerability index to raise awareness about heat risks and promote community-driven solutions. By sharing insights on heat exposure and adaptive capabilities, these organisations can empower residents to participate in local heat resilience initiatives and advocate for improvements in their neighbourhoods. Research and Academic Studies: Researchers can use the index to study the relationship between heat vulnerability and various socio-environmental factors. The longitudinal data enables analyses of how changes in urban development, demographic shifts, and climate change impact heat vulnerability over time, contributing to the broader understanding of environmental justice and urban resilience.
Integrated Heat Vulnerability Index for Culturally and Linguistically Diverse (CALD) and Non-CALD Populations (2001)
공공데이터포털
This dataset provides a composite measure of heat vulnerability for Culturally and Linguistically Diverse (CALD) populations in Australia, integrating three key indicators: heat exposure, heat sensibility, and heat adaptive capability. Derived from social and environmental variables in CALD-specific AURIN datasets, it provides data for 2001, 2011, 2016, and 2021, utilising the 2021 SA1 boundaries to enable retrospective comparison. This framework allows for the assessment of heat vulnerability trends across diverse neighbourhoods, supporting targeted strategies for mitigating heat-related risks and fostering resilience and equity in urban environments. Effective Use Case Descriptions: Heat Vulnerability Assessment and Planning: Urban planners and environmental agencies can use the Integrated Heat Vulnerability Index to identify and prioritise CALD and non-CALD neighbourhoods most at risk from heat-related impacts. By analysing the index, they can develop targeted heat mitigation strategies such as enhancing green spaces, improving building insulation, or increasing access to cooling centres. This data-driven approach ensures resources are allocated effectively to areas with the highest vulnerability. Public Health Interventions: Public health officials can utilise the heat vulnerability index to assess the risk of heat-related health issues in different neighbourhoods. By integrating indicators of heat exposure, sensibility, and adaptive capability, health agencies can design and implement targeted outreach programs, heat-health warnings, and community support initiatives to protect vulnerable populations during extreme heat events. Climate Adaptation Strategies: Climate resilience experts can apply the index to evaluate the effectiveness of past and current climate adaptation measures. By comparing heat vulnerability trends over time, they can identify gaps in adaptive capacity and recommend improvements to climate resilience strategies. This helps ensure that adaptation efforts are addressing the needs of the most affected communities. Policy Development and Advocacy: Policymakers and advocacy groups can leverage the data to support evidence-based policy development and advocate for climate justice. The index provides a clear picture of how heat vulnerability varies across neighbourhoods, allowing for the formulation of policies that address inequities and promote inclusive urban planning. It can also be used to justify funding for heat mitigation and adaptation projects in vulnerable areas. Community Engagement and Education: Community organisations can use the heat vulnerability index to raise awareness about heat risks and promote community-driven solutions. By sharing insights on heat exposure and adaptive capabilities, these organisations can empower residents to participate in local heat resilience initiatives and advocate for improvements in their neighbourhoods. Research and Academic Studies: Researchers can use the index to study the relationship between heat vulnerability and various socio-environmental factors. The longitudinal data enables analyses of how changes in urban development, demographic shifts, and climate change impact heat vulnerability over time, contributing to the broader understanding of environmental justice and urban resilience.
Heat Vulnerability Index Rankings
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The Heat Vulnerability Index (HVI) shows neighborhoods whose residents are more at risk for dying during and immediately following extreme heat. It uses a statistical model to summarize the most important social and environmental factors that contribute to neighborhood heat risk. The factors included in the HVI are surface temperature, green space, access to home air conditioning, and the percentage of residents who are low-income or non-Latinx Black. Differences in these risk factors across neighborhoods are rooted in past and present racism. Neighborhoods are scored from 1 (lowest risk) to 5 (highest risk) by summing the following factors and assigning them into 5 groups (quintiles): Median Household Income (American Community Survey 5 year estimate, 2016-2020) Percent vegetative cover (trees, shrubs or grass) (2017 LiDAR, NYC DOITT) Percent of population reported as Non-Hispanic Black on Census 2020 Average surface temperature Fahrenheit from ECOSSTRESS thermal imaging, August 27,2020 Percent of households reporting Air Conditioning access, Housing ad Vacancy Survey, 2017