Integration of Descriptive and Spatial Data to Rank Public Buildings According to Their Exposure to Landslide Hazard

Paolino Felice ()
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Paolino Felice: University of L’Aquila

A chapter in Strategic Innovative Marketing, 2017, pp 713-717 from Springer

Abstract: Abstract Landslides are a serious problem for humans and assets in many parts of Europe. A large number of journal papers are devoted to quantify the risk induced by landslides. Once an area where a landslide hazard exists is identified, then it is necessary to select the buildings at risk exposed. This work proposes a general method that ranks the buildings according to the degree of exposure to the landslide hazard. The relevance of the proposed method increases as the extension of the territory becomes large. The method integrates both descriptive and spatial data.

Keywords: Landslide; Hazard; Element at risk; Building ranking (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-33865-1_87

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DOI: 10.1007/978-3-319-33865-1_87

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