In this paper, an analytical mechanical methodology for seismic vulnerability assessment of reinforced concrete buildings at large scale is applied to the Avellino city (southern Italy). According to a multilevel approach, different sources of information are considered. All of the employed data were collected within the SIMURAI project. First, detailed data provided by field survey, including geometric characteristics, structural typology and age of construction of each single building, are used as input data. Obtained results are illustrated, showing the trend of estimated annual failure probability at different performance levels among the analyzed building population. Hence, the seismic vulnerability assessment is carried out exploiting data coming from Remote Sensing (RS) techniques. Thus, a specific methodology has been implemented to extensively extract 3D geometric building parameters, by means the integration of  airborne LIDAR technology, aerophotogrammetry and GIS procedures. Moreover, the cartography enriched with 3D building parameters has been combined with ISTAT Census data to obtain aggregate information about typology and construction age.

Results obtained from both data sources are compared; the reasons for possible differences and the advantages of such innovative approach to seismic vulnerability assessment at large scale are analyzed and discussed.