Vulnerability of Buildings to Meteorological Hazards: A Web-Based Application Using an Indicator-Based Approach

Author:

Papathoma-Köhle Maria1,Ghazanfari Ahmadreza2ORCID,Mariacher Roland3,Huber Werner3,Lücksmann Timo4,Fuchs Sven1ORCID

Affiliation:

1. Institute for Mountain Risk Engineering, University of Natural Resources and Life Sciences, 1190 Vienna, Austria

2. Institute for Green Civil Engineering, University of Natural Resources and Life Sciences, 1190 Vienna, Austria

3. Moya Media OG, 5020 Salzburg, Austria

4. Austrian Road Safety Board (Kuratorium für Verkehrssicherheit), 1100 Vienna, Austria

Abstract

Recent events have demonstrated the devastating impact of meteorological hazards on buildings and infrastructure. The possible effects of climate change on their frequency and intensity but also the rise in the value of assets may increase future risks significantly. It is crucial, therefore, for decision-makers to analyze these risks, focusing on the vulnerability of the built environment to reduce future consequences and the associated costs. However, limited studies focus on the vulnerability of buildings to meteorological hazards. The aim of the present paper is to introduce an indicator-based vulnerability assessment approach for buildings subject to three meteorological hazards (windstorms, heavy rainfall, and hail). The selection of vulnerability indicators (e.g., material, roof shape, etc.) was based on a thorough literature review. The results of an expert survey were analyzed using M-MACBETH software, and the Analytic Hierarchy Process (AHP) was used to weigh each indicator according to the expert opinions and to aggregate them into an index. A web-based application was developed that gives homeowners and other end-users the opportunity to assess the vulnerability of specific buildings by indicating the municipality, the building type, and other building characteristics. The web-application is publicly available and free of charge. The resulting index is a valuable tool for decision-makers, homeowners, authorities, and insurance companies. However, the availability of empirical damage data from real events could contribute to enhancing the performance of the presented approach.

Funder

Austrian Road Safety Board

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference57 articles.

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5. Bhaskaran, S., Forster, B., Datt, B., and Neal, T. (2001, January 9–13). Hail storm vulnerability assessment by using hyperspectral remote sensing and GIS techniques. Proceedings of the IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), Sydney, NSW, Australia.

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