Foroutan, EhsanHu, TaoZhang, FanYu, Hongbo2024-10-092024-10-092024-01-16Foroutan, E., Hu, T., Zhang, F., Yu, H. (2023). Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A big data-driven approach. International Journal of Applied Earth Observation and Geoinformation, 127, pp. 103653-. https://doi.org/10.1016/j.jag.2024.1036531569-8432https://hdl.handle.net/20.500.14446/345053The impact of climate change, specifically more intense heat waves, has increased concerns about heat vulnerability, particularly among high-risk populations. This research utilizes multi-source geospatial big data and employs Geographically Weighted Principal Component Analysis (GWPCA) as well as Global Principal Component Analysis (GPCA) to analyze heat vulnerability in Philadelphia. Using GPCA, four key components are identified Sensitivity, Adaptive Capacity, proxy for Sensitivity, and Exposure, respectively. The subsequent GWPCA analysis reveals localized vulnerability differences, showing distinct patterns across the city. Notably, Sensitivity factors are prominent in the western and southwestern regions, whereas Exposure is dominant in the central and southern parts. This study underscores the significance of considering spatial heterogeneity when assessing heat vulnerability. It also highlights the potential of GWPCA to capture subtle disparities within specific areas and proposes targeted strategies to reduce heat vulnerability in affected communities. Therefore, the incorporation of an advanced spatial analysis model enables a comprehensive understanding of heat vulnerability in complex urban environments. This progress is crucial in enhancing resilience and adaptation to evolving climate conditions.application/pdfThis material has been previously published. In the Oklahoma State University Library's institutional repository this version is made available through the open access principles and the terms of agreement/consent between the author(s) and the publisher. The permission policy on the use, reproduction or distribution of the material falls under fair use for educational, scholarship, and research purposes. Contact Digital Resources and Discovery Services at lib-dls@okstate.edu or 405-744-9161 for further information.Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A big data-driven approach10.1016/j.jag.2024.103653Articleearth sciencesclimate change impacts and adaptationenvironmental sciencesclimate changehealth disparitiesclimate-related exposures and conditionsfactors relating to the physical environmentclimate actionphysical geography and environmental geosciencegeomatic engineeringgeological and geomatics engineeringphysical geography and environmental geosciencegeomatic engineeringenvironmental managementORCID: 0000-0002-8557-8017 (Hu, Tao)ScopusID: 56539213100 | 57219610570 | 57225780776 | 57668897300 (Hu, Tao)ORCID: 0000-0003-2357-4181 (Yu, Hongbo)ScopusID: 57199293502 (Yu, Hongbo)1872-826X