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Mapping Socioeconomic Exposure for Flood Risk Assessment in Italy

Author

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  • Mattia Amadio
  • Jaroslav Mysiak
  • Sepehr Marzi

Abstract

Detailed spatial representation of socioeconomic exposure and the related vulnerability to natural hazards has the potential to improve the quality and reliability of risk assessment outputs. We apply a spatially weighted dasymetric approach based on multiple ancillary data to downscale important socioeconomic variables and produce a grid data set for Italy that contains multilayered information about physical exposure, population, gross domestic product, and social vulnerability. We test the performances of our dasymetric approach compared to other spatial interpolation methods. Next, we combine the grid data set with flood hazard estimates to exemplify an application for the purpose of risk assessment.

Suggested Citation

  • Mattia Amadio & Jaroslav Mysiak & Sepehr Marzi, 2019. "Mapping Socioeconomic Exposure for Flood Risk Assessment in Italy," Risk Analysis, John Wiley & Sons, vol. 39(4), pages 829-845, April.
    • Handle: RePEc:wly:riskan:v:39:y:2019:i:4:p:829-845
    DOI: 10.1111/risa.13212
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    References listed on IDEAS

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