Buildings data from Remote Rapid Visual survey (RRVS) for exposure modelling in Kyrgyzstan and Tajikistan

DOI

The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS methodology in Kyrgyzstan and Tajikistan, within the framework of the projects EMCA (Earthquake Model Central Asia), funded by GEM, and "Assessing Seismic Risk in the Kyrgyz Republic", funded by the World Bank. The survey has been carried out between 2012 and 2016 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images and footprints from OpenStreetMap. The attributes are encoded according to the GEM taxonomy v2.0 (see https://taxonomy.openquake.org). The following attributes are defined (not all are observable in the RRVS survey):

code
description lon
longitude in fraction of degrees lat
latitude in fraction of degrees object_id
unique id of the building surveyed MAT_TYPE
Material Type MAT_TECH
Material Technology MAT_PROP
Material Property LLRS
Type of Lateral Load-Resisting System LLRS_DUCT
System Ductility HEIGHT
Height YR_BUILT
Date of Construction or Retrofit OCCUPY
Building Occupancy Class - General OCCUPY_DT
Building Occupancy Class - Detail POSITION
Building Position within a Block PLAN_SHAPE
Shape of the Building Plan STR_IRREG
Regular or Irregular STR_IRREG_DT
Plan Irregularity or Vertical Irregularity STR_IRREG_TYPE
Type of Irregularity NONSTRCEXW
Exterior walls ROOF_SHAPE
Roof Shape ROOFCOVMAT
Roof Covering ROOFSYSMAT
Roof System Material ROOFSYSTYP
Roof System Type ROOF_CONN
Roof Connections FLOOR_MAT
Floor Material FLOOR_TYPE
Floor System Type FLOOR_CONN
Floor Connections.

For each building an EMCA vulnerability class has been assigned following the fuzzy scoring methodology described in Pittore et al., 2018. The related class definition schema (as a .json document) is included in the data package.

Identifier
DOI https://doi.org/10.5880/GFZ.2.6.2020.001
Related Identifier https://doi.org/10.1177/8755293020951582
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6911
Provenance
Creator Pittore, Massimiliano ORCID logo; Wieland, Marc (ORCID: 0000-0002-1155-723X); Haas, Michael; Sheraliev, Temirlan; Duisheev, Arstan; Niyazov, Jafar
Publisher GFZ Data Services
Contributor Pittore, Massimiliano; Pittore Massimiliano
Publication Year 2020
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Pittore, Massimiliano (GFZ German Research Centre for Geosciences, Potsdam, Germany); Pittore Massimiliano (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Version 1.0
Discipline Geosciences
Spatial Coverage (71.529W, 39.135S, 78.912E, 42.945N); Time span of the overall RRVS surveys