Integrated Heat Vulnerability Index for Culturally and Linguistically Diverse (CALD) and Non-CALD Populations (2016)

Dataset extent

Description

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.

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Field Value
Last Updated 6 March 2025, 3:00 AM (UTC+00:00)
Created 6 March 2025, 3:00 AM (UTC+00:00)
ADP ID gisail_rmit_updated:ecald_dataset_4_ihiv_2016_sa1
Access Level Open Access
Attribution GISail (Geospatial Informatics and Intelligence) Group, RMIT University, (2025): Integrated Heat Vulnerability Index for Culturally and Linguistically Diverse (CALD) and Non-CALD Populations (2016); accessed from AURIN on [date of access].
Coordinate Ref. System WGS 84 (EPSG:4326)
Copyright Notice © GISail (Geospatial Informatics and Intelligence) Group, RMIT University 2025
Geometry Field geometry
Type dataset
Update Frequency asNeeded
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