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Multi-level geospatial modeling of human exposure patterns and vulnerability indicators

Author

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  • Christoph Aubrecht
  • Dilek Özceylan
  • Klaus Steinnocher
  • Sérgio Freire

Abstract

In the context of disaster risk management and in particular for improving preparedness and mitigation of potential impacts, information on socioeconomic characteristics including aspects of situation-specific human exposure and vulnerability is considered vital. This paper provides an overview on available multi-level geospatial information and modeling approaches from global to local scales that could serve as inventory for people involved in disaster-related areas. Concepts and applications related to the human exposure and social vulnerability domains are addressed by illustrating the varying dimensions and contextual implications. Datasets and methods are highlighted that can be applied to assess earthquake-related population exposure, ranging from global and continental-scale population grids (with a focus on recent developments for Europe) to high-resolution functional urban system models and space–time variation aspects. In a further step, the paper elaborates on the integration of social structure on regional scale and the development of aggregative social and economic vulnerability indicators which would eventually enable the differentiation of situation-specific risk patterns. The presented studies cover social vulnerability mapping for selected US federal states in the New Madrid seismic zone as well as the advancement of social vulnerability analysis through integration of additional economic features in the index construction by means of a case study for Turkey’s provinces. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Christoph Aubrecht & Dilek Özceylan & Klaus Steinnocher & Sérgio Freire, 2013. "Multi-level geospatial modeling of human exposure patterns and vulnerability indicators," 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. 68(1), pages 147-163, August.
    • Handle: RePEc:spr:nathaz:v:68:y:2013:i:1:p:147-163
    DOI: 10.1007/s11069-012-0389-9
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    References listed on IDEAS

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    1. Gutiérrez, Javier & Condeço-Melhorado, Ana & Martín, Juan Carlos, 2010. "Using accessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment," Journal of Transport Geography, Elsevier, vol. 18(1), pages 141-152.
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    1. Daniela Palacios-Lopez & Felix Bachofer & Thomas Esch & Wieke Heldens & Andreas Hirner & Mattia Marconcini & Alessandro Sorichetta & Julian Zeidler & Claudia Kuenzer & Stefan Dech & Andrew J. Tatem & , 2019. "New Perspectives for Mapping Global Population Distribution Using World Settlement Footprint Products," Sustainability, MDPI, vol. 11(21), pages 1-24, October.
    2. Kiatkulchai Jitt-Aer & Graham Wall & Dylan Jones & Richard Teeuw, 2022. "Use of GIS and dasymetric mapping for estimating tsunami-affected population to facilitate humanitarian relief logistics: a case study from Phuket, Thailand," 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. 113(1), pages 185-211, August.
    3. Md Nawaj Sarif & Lubna Siddiqui & Tania Nasrin & Somnath Bera & G. V. Ramana, 2024. "Vulnerability of riparian inhabitants to river bank erosion hazard in lower Ganga: an integrated approach," 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. 120(11), pages 9503-9526, September.
    4. Christian Geiß & Anne Schauß & Torsten Riedlinger & Stefan Dech & Cecilia Zelaya & Nicolás Guzmán & Mathías A. Hube & Jamal Jokar Arsanjani & Hannes Taubenböck, 2017. "Joint use of remote sensing data and volunteered geographic information for exposure estimation: evidence from Valparaíso, Chile," 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. 86(1), pages 81-105, March.
    5. Lorraine Eden & Charles F. Hermann & Stewart R. Miller, . "Evidence-based policymaking in a VUCA world," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    6. Massimiliano Pittore & Marc Wieland & Kevin Fleming, 2017. "Perspectives on global dynamic exposure modelling for geo-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. 86(1), pages 7-30, March.
    7. Cheng He & Liguo Zhou & Weichun Ma & Yuan Wang, 2019. "Spatial Assessment of Urban Climate Change Vulnerability during Different Urbanization Phases," Sustainability, MDPI, vol. 11(8), pages 1-19, April.

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