Examinando por Materia "URBANISMO - CALI (COLOMBIA)"

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    Desarrollo de una metodología para la elaboración de modelos de exposición con fines de riesgo sísmico a partir de información censal. Caso de aplicación : Santiago de Cali, Colombia
    (Universidad EAFIT, 2025) Arenas Guzmán, Juliana; Acevedo Jaramillo, Ana Beatriz
    This work presents a methodology to develop exposure models for residential buildings using data from the 2018 Colombian Population and Housing Census. An exposure model compiles information about the infrastructure of a location and the parameters that define its behavior under external loads; it is used together with hazard and vulnerability models in catastrophic risk analysis. Census data are valuable because they are public, cover the entire country, and allow estimation of relevant information such as number of buildings, number of floors, construction materials, and uses. The methodology uses the census level of disaggregation in urban areas (block level) and variables from housing surveys, such as wall material, socioeconomic level, and number of inhabitants. Based on these surveys, the number of residential buildings is estimated. In Cali, 326,382 buildings were identified with more than 1.7 million inhabitants. To assign structural typologies, three variables were used: number of housing units per building, socioeconomic level, and wall material; the latter correlates with structural typology, although it may be associated with multiple categories. For this study, information from 24,499 building surveys conducted by the Cali Mayor’s Office was used. The developed model made it possible to create an exposure scenario at the block level that includes number of buildings, structural typology, and inhabitants. Validation against existing models showed differences between 6–11%, values considered acceptable and consistent. The methodology is easy to implement and can be used by government entities to develop exposure models and support seismic risk assessment across the national territory.