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Study areas include Istanbul (Türkiye), Nablus (Palestine), Chattogram (Bangladesh), Cox's Bazaar (Bangladesh), Nairobi (Kenya), Nakuru (Kenya), Quito (Ecuador), Kokhana (Nepal), Rapti (Nepal) and Darussalam (Tanzania). The data quantify the physical, social, and economic risks resulting from seismic activity or floods or landslides interacting with projected land-use plans and building typologies.\n\nKey components of the dataset include attributes on damage states for each building and eight metrics related to socio-demographic characteristics: \n-\tNumber of workers unemployed,  \n-\tNumber of children with no Access to education\n-\tNumber of households with no Access to hospital\n-\tNumber of individuals with no Access to hospital\n-\tNumber of households displaced\n-\tNumber of homeless individuals\n-\tPopulation displacement\n-\tNumber of casualties\n\nDetails on the computation of each metric is provided in the readme file.\nThis dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. 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Internal Consistency Checks: The computational workflow underwent code reviews and unit testing to ensure data integrity during the integration of hazard and exposure layers.\n3. 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E., Gentile, R., Jenkins, L. T., Kalaycioglu, M., Mentese, E. Y., Muthusamy, M., Tarbali, K., & Trogrlić, R. Š. (2023). A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities. International Journal of Disaster Risk Reduction, 85, 103400.","url":"https://doi.org/10.1016/j.ijdrr.2022.103400","function":"relatedArticle"},{"description":"Cremen, G., Galasso, C., & McCloskey, J. (2022). A Simulation‐Based Framework for Earthquake Risk‐Informed and People‐Centered Decision Making on Future Urban Planning. 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