EGU2020-8766
https://doi.org/10.5194/egusphere-egu2020-8766
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Economic Landslide Susceptibility under a socio-economic perspective: an application to Umbria Region (Central Italy)

Marco Donnini1, Marco Modica2, Paola Salvati1, Ivan Marchesini1, Mauro Rossi1, Fausto Guzzetti3, and Roberto Zoboli4,5
Marco Donnini et al.
  • 1CNR - IRPI. Perugia, Italy (marco.donnini@irpi.cnr.it)
  • 2Gran Sasso Science Institute – Social Sciences. L’Aquila, Italy
  • 3Dipartimento della Protezione Civile. Roma, Italy
  • 4Università Cattolica del Sacro Cuore. Milano, Italy
  • 5CNR- IRCRES. Milano, Italy

An accurate understanding of physical and economic effects of landslides is fundamental to develop more refined risk management, mitigation strategies and land use policies. We develop a measure to consider the interconnection between physical and economic exposure, e.g. what we call the economic landslide susceptibility, namely the probability of landslide occurrence in an area weighted for its socio-economic exposure. The economic landslide susceptibility is estimated trough a pixel-based method designed for large areas. The method makes use of landslide susceptibility maps and a real estate market value maps for any given areas under analysis. We apply this methodology to the Umbria Region (Central Italy). The innovative concept of economic landslide susceptibility (that is de facto an ex ante landslide cost assessment) may be interpreted as the potential loss that an area might suffer in terms of its propensity for landslides. Useful applications of the proposed method lie in a better territorial management and in the land use planning.

How to cite: Donnini, M., Modica, M., Salvati, P., Marchesini, I., Rossi, M., Guzzetti, F., and Zoboli, R.: Economic Landslide Susceptibility under a socio-economic perspective: an application to Umbria Region (Central Italy), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8766, https://doi.org/10.5194/egusphere-egu2020-8766, 2020.

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