Dataset of the attributes affecting seismic performance of a sample of buildings from San Jose, Costa Rica
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http://doi.org/10.17632/8by7r5szcn.3
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The data consists of the attributes affecting seismic performance of a sample of 7,294 buildings from the San José canton in Costa Rica, Central America. Contains information about the occupancy type, number of floors, material and type of lateral load resisting system, structural regularity, floor and roof properties (following the GEM Building Taxonomy v2.0).
The attributes were identified from panoramic images of the buildings when applying remote surveys by a team of trained last-year civil engineering students supervised by civil engineers from the Seismic Engineering Laboratory of the Engineering Research Institute from the University of Costa Rica (LIS-INII-UCR). The visual data were collected on October 2017 by means of the GFZ Mobile Mapping System and the remote surveys were completed on July 2019 by means of the GFZ Remote Rapid Visual Screening platform. The sample buildings were selected by a random stratified sampling with proportional allocation applied to the building population.
Additional information of interest from the sample buildings, not obtained from the panoramic images, is provided. It consists of the location (coordinates), footprint area, approximate construction period of each building and its corresponding district and neighborhood (hierarchy of geographical administrative units of Costa Rica is as follows: province, canton, district and neighborhood). The approximate construction period was determined by manually analyzing aerial photographs of San José for different time periods.
The main file is "sampleDB.csv", which contains all the information represented by alphabetical and alphanumerical codes that are explained and described in the files "attribute_type_descriptions.csv" and "attribute_value_descriptions.csv". The attribute types can take different attribute values, for example, for attribute type "llrs" (lateral load resisting system as described in attribute_type_descriptions file), some posible values are LWAL and LDUA (wall and dual type, respectively, as described on attribute_values_descriptions file).
This data can be use to generate a high resolution building inventory to take part of an exposure model for performing seismic or multi-hazard risk assessments. It can also be used for other studies that need a general but high level description of the buildings from San José canton.
The data was obtained as part of a seismic risk assessment conducted by LIS-INII-UCR , with funding from the Costa Rica Republic “Transitory 1 of the National Emergencies Law (N° 8488)” assigned to this laboratory.
本数据集包含来自中美洲哥斯达黎加圣何塞市7,294栋建筑的地震性能影响属性。数据集涵盖了建筑的使用类型、楼层数、建筑材料及横向荷载抗力系统的类型、结构规则性、楼层和屋顶属性(遵循GEM建筑分类v2.0标准)。属性信息由一组经过培训的去年土木工程学生,在哥斯达黎加大学工程研究所地震工程实验室土木工程师的指导下,通过对建筑全景图像进行远程调查而识别得出。视觉数据于2017年10月采用GFZ移动测绘系统收集,而远程调查则于2019年7月通过GFZ远程快速视觉筛选平台完成。样本建筑通过随机分层抽样选取,并按照建筑总体的比例分配。样本建筑的其他相关信息,如位置(坐标)、占地面积、建筑的大致建造时期及其对应的行政区域(哥斯达黎加地理行政单位的层次结构为:省、市、区、邻里),亦由人工分析不同时期的圣何塞航空照片确定。主要文件“sampleDB.csv”包含了所有信息,这些信息由字母和字母数字代码表示,并在“attribute_type_descriptions.csv”和“attribute_value_descriptions.csv”文件中进行了说明和描述。属性类型可以有不同的属性值,例如,对于属性类型“llrs”(横向荷载抗力系统,如“attribute_type_descriptions”文件所述),可能的值包括LWAL和LDUA(分别为墙体型和双类型,如“attribute_values_descriptions”文件所述)。这些数据可用于生成高分辨率建筑清单,作为地震或多重灾害风险评估模型的一部分。它还可以用于其他需要对圣何塞市建筑进行一般但高层次描述的研究。数据作为LIS-INII-UCR进行的地震风险评估的一部分获得,资金来源于哥斯达黎加共和国《国家紧急状态法(N° 8488)第1号临时法》分配给该实验室的资金。
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Mendeley Data



