Gerardo M. Verderame, Maurizio Pollino, Flavio Borfecchia, Paolo Ricci, C. Del Gaudio, Gaetano Manfredi, M. Beer, S-K. Au, J.W. Hall, Ricci, Paolo, DEL GAUDIO, Carlo, Verderame, GERARDO MARIO, Manfredi, Gaetano, M., Pollino, F., Borfecchia, Borfecchia, F., and Pollino, M.
In this study, a seismic vulnerability assessment at urban scale is carried out in a high-seismic city in Southern Italy using building stock data from different sources: (1) data from an airborne Remote Sensing mission carried out over the municipality, providing a detailed estimate of 3D geometric parameters of buildings, and (2) data from a field survey, providing detailed information on geometrical and structural characteristics of each single building. Such data are used within a multilevel approach in order to evaluate the influence of the detail level of input data on seismic vulnerability assessment at urban scale. Data from the detailed field survey are assumed as a reference, and when using Remote Sensing data, due to the lack of information affecting such source, some of the input parameters to the seismic vulnerability assessment procedure are assumed as random variables, using aggregate information on buildings provided by census data. Hence, the error introduced by the use of less detailed (but easier, faster and less expensive to collect) data is analyzed and discussed in order to evaluate the reliability of alternative data sources within a cost/benefit approach to large scale seismic risk assessment. © 2014 American Society of Civil Engineers.