Abstract
During the last two decades, the rapid urbanization movement has increased the concentration of population and buildings in Ulaanbaatar city (UB), Mongolia. There are several active faults around UB. The estimated maximum magnitude of 7 in the Emeelt fault has been expected to significantly impact the UB region because the fault is only 20 km from the city. To consider the disaster mitigation planning for such large earthquakes, assessments of ground shaking intensities and building damage for the scenarios are crucial. In this study, we develop the building inventory data in UB, including structural types, construction year, height, and construction cost in order to assess the buildings’ vulnerability (repair cost) due to a scenario earthquake. The construction costs are estimated based on the procedure of the Mongolian construction code from the coefficients of cost per floor area for each structural type, and coefficients for heating system, floor areas, and buildings’ locations. Finally, the scenario’s economic loss of the damaged buildings is evaluated using the developed building inventory, global vulnerability curves of GAR-13, and estimated spectral accelerations.
Highlights
Earthquakes have significantly impacted economic and social losses in urban areas because they have brought extensive damage to buildings and infrastructures
We introduced an algorithm for estimating the construction cost of buildings from Geographical Information System (GIS) building inventory data in Ulaanbaatar city (UB), Mongolia
The building inventory data are available in UB, information on the structural type and construction year were not registered in some buildings
Summary
Earthquakes have significantly impacted economic and social losses in urban areas because they have brought extensive damage to buildings and infrastructures. The fragility function-based approach can estimate the number of damaged buildings expected from predicted ground motion intensities. The latter method estimates building loss based on vulnerability functions developed for each structural type [15,16]. This study aims to develop a building inventory database in UB, including the construction cost for each building in considering structural types, building heights, heating types, and other building characteristics in order to economically assess the buildings’ vulnerabilities for a scenario earthquake. Direct building losses in UB are estimated by aggregating the repair costs of the damaged buildings estimated from the predicted ground motion intensities and the global vulnerability functions [17,19].
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