Post-earthquake damage and usability surveys are fundamental in managing the emergency phase in the aftermath of a strong seismic event. In Italy, in addition to the damage and usability evaluation, this survey enables the collection of building geometrical and structural attributes related to seismic vulnerability. With the development of the Observed Damage Database (Da.D.O.) platform, most of the data collected during the post-earthquake inspections have been harmonized and made freely available to the scientific community. These data constitute an important heritage for scientific purposes but, until now, the potential for seismic risk assessment has not been fully exploited, partly because the format specifications are particular to the Italian environmental conditions, and the attributes are not directly related to existing risk-oriented classifications. In order to reliably extract the exposure and vulnerability information and harmonize it according to recognized international standards, an innovative methodology has been developed to convert the information collected through the AeDES form, used in Italy since 1997 for post-earthquake usability surveys, to formats more suitable for a large-scale risk evaluation. In the proposed approach, the information on the typological characteristics has been firstly described according to the taxonomy proposed by the Global Earthquake Model (GEM). Subsequently, using a score-based methodology, the most likely EMS-98 building classes have been assigned based on the observed GEM attributes. This methodology has been exemplified with the data of the 2009 L´Aquila earthquake, and the results highlight the great potential for post-event surveys to provide relevant information for Disaster Risk Reduction (DRR) activities.

地震后的损坏和可用性调查是在发生强烈地震事件后管理紧急状态的基础。在意大利，除了损坏和可用性评估之外，该调查还可以收集与地震易损性有关的建筑物几何和结构属性。随着观测损坏数据库（Da.DO）平台的开发，地震后检查期间收集的大多数数据已经统一并免费提供给科学界。这些数据构成了用于科学目的的重要遗产，但是直到现在，地震风险评估的潜力还没有得到充分利用，部分原因是格式规格特定于意大利的环境条件，并且这些属性与现有的面向风险的分类没有直接关系。为了可靠地提取暴露和脆弱性信息并根据公认的国际标准进行协调，已开发出一种创新的方法，可以将通过AeDES表格（自1997年以来在意大利用于地震后可用性调查）收集的信息转换为更多格式适用于大规模风险评估。在提出的方法中，首先根据全球地震模型（GEM）提出的分类法描述了有关类型特征的信息。随后，使用基于分数的方法，根据观察到的GEM属性分配了最可能的EMS-98建筑等级。