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<p>This article investigates the socio-spatial vulnerability and exposure to summer Urban Heat Island intensity in the Pre-Alpine cities of Grenoble and Échirolles (Isère, France), within the framework of the ADEME-funded CASSANDRE project. The study aims to identify districts most vulnerable to extreme heat by analyzing a combination of socio-economic and climatic factors in order to inform public interventions and help prioritize them. Urban Heat Islands and Local Climate Zones are among the key factors considered in this multi-dimensional assessment. The analysis integrates 57 variables at the IRIS level, a high-resolution spatial unit defined by INSEE. A Factorial Analysis of Mixed Data, combined with Hierarchical Agglomerative Clustering, is used to group IRIS into homogeneous classes. The exploration and interpretation of results are carried out using the interactive data analysis software Treensight, which provides original functionalities for multilevel visualization and dynamic class comparison. The classification reveals seven distinct socio-demographic profiles, that are characterized by differences in income, unemployment rates, household composition, and UHI intensity. Notably, socially disadvantaged areas tend to experience lower UHI intensity due to greater vegetation cover, while wealthier districts are more exposed to heat stress. These findings underscore the importance of integrating both social and environmental indicators at fine spatial scale to support climate adaptation strategies. The interactivity and visual capabilities of Treensight play a central role in this process, offering an accessible and efficient tool for analyzing complex, multidimensional data. The paper also outlines potential applications of this methodology to other urban contexts and data sources. </p>

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Disentangling vulnerability and exposure to Urban Heat Islands in two French pre-alpine cities

  • 期刊论文

  • 发表日期：

    2026年5月15日

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  • Gilles M. Bisson,
  • Annette E. Casagrande,
  • Julien S. Marinescu,
  • Sandra C. Rome

摘要

This article investigates the socio-spatial vulnerability and exposure to summer Urban Heat Island intensity in the Pre-Alpine cities of Grenoble and Échirolles (Isère, France), within the framework of the ADEME-funded CASSANDRE project. The study aims to identify districts most vulnerable to extreme heat by analyzing a combination of socio-economic and climatic factors in order to inform public interventions and help prioritize them. Urban Heat Islands and Local Climate Zones are among the key factors considered in this multi-dimensional assessment. The analysis integrates 57 variables at the IRIS level, a high-resolution spatial unit defined by INSEE. A Factorial Analysis of Mixed Data, combined with Hierarchical Agglomerative Clustering, is used to group IRIS into homogeneous classes. The exploration and interpretation of results are carried out using the interactive data analysis software Treensight, which provides original functionalities for multilevel visualization and dynamic class comparison. The classification reveals seven distinct socio-demographic profiles, that are characterized by differences in income, unemployment rates, household composition, and UHI intensity. Notably, socially disadvantaged areas tend to experience lower UHI intensity due to greater vegetation cover, while wealthier districts are more exposed to heat stress. These findings underscore the importance of integrating both social and environmental indicators at fine spatial scale to support climate adaptation strategies. The interactivity and visual capabilities of Treensight play a central role in this process, offering an accessible and efficient tool for analyzing complex, multidimensional data. The paper also outlines potential applications of this methodology to other urban contexts and data sources.