dataset · Open MIND
This dataset comprises spatially explicit risk analysis outputs for 10 study areas, representing potential disaster impacts across various future urban development scenarios, that are created by different community groups within each study area. 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. Key components of the dataset include attributes on damage states for each building and eight metrics related to socio-demographic characteristics: - Number of workers unemployed, - Number of children with no Access to education - Number of households with no Access to hospital - Number of individuals with no Access to hospital - Number of households displaced - Number of homeless individuals - Population displacement - Number of casualties Details on the computation of each metric is provided in the readme file. This dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1).
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.5285/30a025cc-4482-48a0-a0f9-9f5b71d7ef83
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