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Modeling the residential building stock in the Middle East for multi-hazard risk assessment

Author

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  • Jamal Dabbeek

    (University School for Advanced Studies (IUSS))

  • Vitor Silva

    (Global Earthquake Model Foundation (GEM)
    University Fernando Pessoa)

Abstract

This study presents an exposure model for the residential building stock in the Middle East, developed for the purpose of multi-hazard risk assessment. The exposure model provides the number of buildings, number of dwellings and population in 12 countries with their corresponding physical characteristics, geographical location and economic value. The main sources of data used to develop this model were housing and population census surveys, existing literature and the judgment of local experts. The study also includes an overview of the most common building types in different parts of the region. A simplified multi-hazard exposure taxonomy is introduced to identify relevant building features according to the type of natural hazard. The exposure model was disaggregated at a fine spatial resolution, using a combination of various remote-sensing datasets, and overlapped with hazard maps to identify population and buildings exposed to floods and earthquakes. The results from this study represent a significant step toward a better understanding of risk due to natural hazards in Jordan, Syria, Palestine, Saudi Arabia, Lebanon, United Arab Emirates, Yemen, Oman, Kuwait, Qatar, Bahrain and Iraq.

Suggested Citation

  • Jamal Dabbeek & Vitor Silva, 2020. "Modeling the residential building stock in the Middle East for multi-hazard risk assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 781-810, January.
    • Handle: RePEc:spr:nathaz:v:100:y:2020:i:2:d:10.1007_s11069-019-03842-7
    DOI: 10.1007/s11069-019-03842-7
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    References listed on IDEAS

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    Cited by:

    1. André Hartmann & Martin Behnisch & Robert Hecht & Gotthard Meinel, 2024. "Prediction of residential and non-residential building usage in Germany based on a novel nationwide reference data set," Environment and Planning B, , vol. 51(1), pages 216-233, January.
    2. Sreevalsa Kolathayar, 2021. "Recent seismicity in Delhi and population exposure to seismic hazard," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(3), pages 2621-2648, December.
    3. Petros Kalakonas & Vitor Silva & Amaryllis Mouyiannou & Anirudh Rao, 2020. "Exploring the impact of epistemic uncertainty on a regional probabilistic seismic risk assessment model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 997-1020, October.

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