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Rockfall susceptibility along the regional road network of Aosta Valley Region (northwestern Italy)

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  • M. Cignetti
  • D. Godone
  • D. Bertolo
  • M. Paganone
  • P. Thuegaz
  • D. Giordan

Abstract

Rockfalls are a major hazard in mountain areas. They can endanger human settlements and infrastructures, and, every year, cause multiple damage and victims. An investigation of those areas more susceptible to rockfall represents a key approach to improve the analysis and management of rockfall impact and consequences. The proposed procedure involves the study of occurred rockfall databases and thematic maps to compute a susceptibility map, by the employment of Analytical Hierarchic Process. The computation is focused on the road network of Aosta Valley Region (northwestern Italy) and its proximity. The model results highlight the importance of morphometric factors on the investigated phenomena. The outcomes of the analysis were also validated by comparing rockfall databases with the receiver operating characteristic curve, in order to confirm their reliability. The results of the procedure are a starting point for a detailed planning action in order to manage the hazard related to these phenomena.

Suggested Citation

  • M. Cignetti & D. Godone & D. Bertolo & M. Paganone & P. Thuegaz & D. Giordan, 2021. "Rockfall susceptibility along the regional road network of Aosta Valley Region (northwestern Italy)," Journal of Maps, Taylor & Francis Journals, vol. 17(3), pages 54-64, June.
    • Handle: RePEc:taf:tjomxx:v:17:y:2021:i:3:p:54-64
    DOI: 10.1080/17445647.2020.1850534
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    Cited by:

    1. Youssef El Miloudi & Younes El Kharim & Ali Bounab & Rachid El Hamdouni, 2024. "Effect of Rockfall Spatial Representation on the Accuracy and Reliability of Susceptibility Models (The Case of the Haouz Dorsale Calcaire, Morocco)," Land, MDPI, vol. 13(2), pages 1-16, February.
    2. Kieu Anh Nguyen & Yi-Jia Jiang & Chiao-Shin Huang & Meng-Hsun Kuo & Walter Chen, 2024. "Leveraging Internet News-Based Data for Rockfall Hazard Susceptibility Assessment on Highways," Future Internet, MDPI, vol. 16(8), pages 1-18, August.
    3. Davide Notti & Diego Guenzi & Rosa Lasaponara & Daniele Giordan, 2022. "Merging Historical Archives with Remote Sensing Data: A Methodology to Improve Rockfall Mitigation Strategy for Small Communities," Land, MDPI, vol. 11(11), pages 1-18, November.

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