TY - JOUR
T1 - Quantifying intra-urban socio-economic and environmental vulnerability to extreme heat events in Johannesburg, South Africa
AU - for the HE2AT Center Group, Aakin Bobola
AU - Parker, Craig
AU - Mahlasi, Craig
AU - Govindasamy, Tamara
AU - Radebe, Lebohang
AU - Brink, Nicholas Brian
AU - Jack, Christopher
AU - Doumbia, Madina
AU - Kouakou, Etienne
AU - Chersich, Matthew
AU - Cisse, Gueladio
AU - Makhanya, Sibusisiwe
AU - Makanga, Tatenda
AU - Luchters, Stanley
AU - Omar, Sabina
AU - Forget, Ruvimbo
AU - Sibanda, Rutendo
AU - Duffett, Rodger
AU - Satekge, Reneilwe
AU - Wolski, Piotr
AU - Kloppers, Pierre
AU - Munyi, Peter
AU - Marsh, Peter
AU - Ogendi, Paul
AU - Adegun, Olumuyiwa
AU - Emerence, Okoue
AU - Langa, Nontokozo
AU - McAllister, Kimberly
AU - Brennan, Margaret
AU - Abdulrauf, Lukman
AU - Lois Harden, Lisa
AU - Mbano, Leon
AU - Quagraine, Kwesi
AU - McAlpine, Kimberly
AU - Sall, Khady
AU - Zhu, Ji
AU - Tsvaki, Jetina
AU - Maguma, Jasper
AU - Maliha, Ilias
AU - Solarin, Ijeoma
AU - Dely, Iba Dieudonné
AU - Marmelstein, Gillian
AU - Baloyi, Gciniwe Dlamini
AU - Vos, Etienne
AU - Frederick, Elizabeth
AU - Donnelly, Dusty Lee
AU - Mitchell, Duncan
AU - Thaldar, Donrich Willem
AU - Lakhoo, Darshnika
AU - Gao, Chuansi
AU - Dumbura, Cherlynn
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/7/2
Y1 - 2025/7/2
N2 - Urban populations face increasing vulnerability to extreme heat events, particularly in rapidly urbanising Global South cities where environmental exposure intersects with socioeconomic inequality and limited healthcare access. This study quantifies heat vulnerability across Johannesburg, South Africa, by integrating high-resolution environmental data with socio-economic and health metrics across 135 urban wards. We examine how historical urban development patterns influence contemporary vulnerability distributions using principal component analysis and spatial statistics. Environmental indicators (Land Surface Temperature (LST), vegetation indices, and thermal field variance) were combined with socioeconomic and health variables (including indicators on crowded dwellings and healthcare access, self-reporting of chronic diseases) in a comprehensive vulnerability assessment. Principal Component Analysis revealed three primary dimensions explaining 56.6% (95% CI: 52.4–60.8%) of the total variance: urban heat exposure (31.5%), health status (12.8%), and socio-economic conditions (12.3%). Built-up areas showed weak but significant correlations with heat indices (ρ = 0.28, p < 0.01), while higher poverty levels demonstrated moderate positive correlations with LST (ρ = 0.41, p < 0.001). The spatial analysis identified significant clustering of vulnerability (Global Moran's I = 0.42, p < 0.001), with distinct high-vulnerability clusters in historically disadvantaged areas. Alexandra Township showed the highest vulnerability(HVI score: 0.87, LST: 29.8 °C ± 0.4 °C, NDVI: 0.08 ± 0.02), with factors characterising the high vulnerability in that area including limited healthcare access and extreme heat exposure. Northern suburbs formed a significant low-vulnerability cluster (Mean HVI = 0.23 ± 0.07, p < 0.001), benefiting from greater vegetation coverage and better healthcare access. These findings demonstrate how historical planning decisions continue to shape contemporary environmental health risks, with vulnerability concentrated in areas of limited healthcare access and high extreme heat exposure. Results suggest the need for targeted interventions that address both environmental and social dimensions of heat vulnerability, particularly focusing on expanding healthcare access in identified hotspots and implementing community-scale green infrastructure in high-risk areas. This study provides an evidence-based framework for prioritising heat-resilience initiatives in rapidly urbanising Global South cities while highlighting the importance of addressing historical inequities in urban adaptation planning.
AB - Urban populations face increasing vulnerability to extreme heat events, particularly in rapidly urbanising Global South cities where environmental exposure intersects with socioeconomic inequality and limited healthcare access. This study quantifies heat vulnerability across Johannesburg, South Africa, by integrating high-resolution environmental data with socio-economic and health metrics across 135 urban wards. We examine how historical urban development patterns influence contemporary vulnerability distributions using principal component analysis and spatial statistics. Environmental indicators (Land Surface Temperature (LST), vegetation indices, and thermal field variance) were combined with socioeconomic and health variables (including indicators on crowded dwellings and healthcare access, self-reporting of chronic diseases) in a comprehensive vulnerability assessment. Principal Component Analysis revealed three primary dimensions explaining 56.6% (95% CI: 52.4–60.8%) of the total variance: urban heat exposure (31.5%), health status (12.8%), and socio-economic conditions (12.3%). Built-up areas showed weak but significant correlations with heat indices (ρ = 0.28, p < 0.01), while higher poverty levels demonstrated moderate positive correlations with LST (ρ = 0.41, p < 0.001). The spatial analysis identified significant clustering of vulnerability (Global Moran's I = 0.42, p < 0.001), with distinct high-vulnerability clusters in historically disadvantaged areas. Alexandra Township showed the highest vulnerability(HVI score: 0.87, LST: 29.8 °C ± 0.4 °C, NDVI: 0.08 ± 0.02), with factors characterising the high vulnerability in that area including limited healthcare access and extreme heat exposure. Northern suburbs formed a significant low-vulnerability cluster (Mean HVI = 0.23 ± 0.07, p < 0.001), benefiting from greater vegetation coverage and better healthcare access. These findings demonstrate how historical planning decisions continue to shape contemporary environmental health risks, with vulnerability concentrated in areas of limited healthcare access and high extreme heat exposure. Results suggest the need for targeted interventions that address both environmental and social dimensions of heat vulnerability, particularly focusing on expanding healthcare access in identified hotspots and implementing community-scale green infrastructure in high-risk areas. This study provides an evidence-based framework for prioritising heat-resilience initiatives in rapidly urbanising Global South cities while highlighting the importance of addressing historical inequities in urban adaptation planning.
KW - Climate adaptation
KW - Environmental health
KW - Environmental justice
KW - Healthcare access
KW - Johannesburg
KW - Principal component analysis
KW - Spatial analysis
KW - Urban heat vulnerability
U2 - 10.1007/s00484-025-02971-y
DO - 10.1007/s00484-025-02971-y
M3 - Article
AN - SCOPUS:105013770841
SN - 0020-7128
VL - 69
SP - 2501
EP - 2517
JO - International Journal of Biometeorology
JF - International Journal of Biometeorology
IS - 10
ER -