Towards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaiso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions

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dc.contributor.authorGomez Zapata, Juan Camilo
dc.contributor.authorZafrir, Raquel
dc.contributor.authorPittore, Massimiliano
dc.contributor.authorMerino, Yvonne
dc.date.accessioned2025-01-20T21:11:21Z
dc.date.available2025-01-20T21:11:21Z
dc.date.issued2022
dc.description.abstractEfforts have been made in the past to enhance building exposure models on a regional scale with increasing spatial resolutions by integrating different data sources. This work follows a similar path and focuses on the downscaling of the existing SARA exposure model that was proposed for the residential building stock of the communes of Valparaiso and Vina del Mar (Chile). Although this model allowed great progress in harmonising building classes and characterising their differential physical vulnerabilities, it is now outdated, and in any case, it is spatially aggregated over large administrative units. Hence, to more accurately consider the impact of future earthquakes on these cities, it is necessary to employ more reliable exposure models. For such a purpose, we propose updating this existing model through a Bayesian approach by integrating ancillary data that has been made increasingly available from Volunteering Geo-Information (VGI) activities. Its spatial representation is also optimised in higher resolution aggregation units that avoid the inconvenience of having incomplete building-by-building footprints. A worst-case earthquake scenario is presented to calculate direct economic losses and highlight the degree of uncertainty imposed by exposure models in comparison with other parameters used to generate the seismic ground motions within a sensitivity analysis. This example study shows the great potential of using increasingly available VGI to update worldwide building exposure models as well as its importance in scenario-based seismic risk assessment.
dc.fuente.origenWOS
dc.identifier.doi10.3390/ijgi11020113
dc.identifier.eissn2220-9964
dc.identifier.urihttps://doi.org/10.3390/ijgi11020113
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/93622
dc.identifier.wosidWOS:000770649400001
dc.issue.numero2
dc.language.isoen
dc.revistaIsprs international journal of geo-information
dc.rightsacceso restringido
dc.subjectexposure
dc.subjectbuildings
dc.subjectBayesian model
dc.subjectdownscaling
dc.subjectOpenStreetMap
dc.subjectground motion fields
dc.subjectsensitivity
dc.subjectearthquake
dc.subjectvulnerability
dc.subjectrisk
dc.subject.ods11 Sustainable Cities and Communities
dc.subject.odspa11 Ciudades y comunidades sostenibles
dc.titleTowards a Sensitivity Analysis in Seismic Risk with Probabilistic Building Exposure Models: An Application in Valparaiso, Chile Using Ancillary Open-Source Data and Parametric Ground Motions
dc.typeartículo
dc.volumen11
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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