Assessing Socio-Economic Vulnerabilities to Urban Heat: Correlations with Land Use and Urban Morphology in Melbourne, Australia

Cheuk Yin Wai (), Muhammad Atiq Ur Rehman Tariq, Nitin Muttil and Hing-Wah Chau
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Cheuk Yin Wai: College of Sport, Health and Engineering, Victoria University, Melbourne, VIC 8001, Australia
Muhammad Atiq Ur Rehman Tariq: Centre of Excellence in Water Resources Engineering, G.T. Road, Lahore 54890, Pakistan
Nitin Muttil: Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne, VIC 8001, Australia
Hing-Wah Chau: College of Sport, Health and Engineering, Victoria University, Melbourne, VIC 8001, Australia

Land, 2025, vol. 14, issue 5, 1-26

Abstract: Modern cities are rapidly evolving in terms of urban morphology, driven by exponential population growth that accelerates the urbanisation process. The changes in land use have increased urban area and density, intensifying the urban heat island (UHI) effect, which poses one of the biggest threats to human health and well-being, especially in metropolitan regions. One of the most effective strategies to counter urban heat is the implementation of green infrastructure and the use of suitable building materials that help reduce heat stress. However, access to green spaces and the affordability of efficient building materials are not the same among citizens. This paper aims to identify the socio-economic characteristics of communities in Melbourne, Australia, that contribute to their vulnerability to urban heat under local conditions. This study employs remote sensing and geographical information systems (GIS) to conduct a macro-scale analysis, to investigate the correlation between urban heat patterns and socio-economic characteristics, taking into account factors such as vegetation cover, built-up areas, and land use types. The results from the satellite images and the geospatial data reveal that Deer Park, located in the western suburbs of Melbourne, has the highest land surface temperature (LST) at 32.54 °C, a UHI intensity of 1.84 °C, a normalised difference vegetation index (NDVI) of 0.11, and a normalised difference moisture index (NDMI) of −0.081. The LST and UHI intensity indicate a strong negative correlation with the NDVI (r = −0.42) and NDMI (r = −0.6). In contrast, the NDVI and NDMI have a positive correlation with the index of economic resources (IER) with r values of 0.29 and 0.24, indicating that the areas with better finance resources tend to have better vegetation coverage or plant health with less water stress, leading to lower LST and UHI intensity. This study helps to identify the most critical areas in the Greater Melbourne region that are vulnerable to the risk of urban heat and extreme heat events, providing insights for the local city councils to develop effective mitigation strategies and urban development policies that promote a more sustainable and liveable community.

Keywords: urban heat; urban morphology; remote sensing; satellite image; Landsat 8; geographical information systems; ArcGIS; UHI intensity; LST; NDVI; NDBI; NDMI SEIFA (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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