Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of Susceptibility to Slope Movements in the Environment of Road Infrastructures. Models for Obtaining Predictive Mapping Applied to Roads in the Provinces of Malaga and Granada (Spain)

Version 1 : Received: 28 June 2021 / Approved: 29 June 2021 / Online: 29 June 2021 (12:53:55 CEST)

How to cite: Perles-Roselló, M.J.; Pardo-García, S.; Sortino-Barrionuevo, J.F.; Reyes-Corredera, S.; Puglisi, C. Analysis of Susceptibility to Slope Movements in the Environment of Road Infrastructures. Models for Obtaining Predictive Mapping Applied to Roads in the Provinces of Malaga and Granada (Spain). Preprints 2021, 2021060704 (doi: 10.20944/preprints202106.0704.v1). Perles-Roselló, M.J.; Pardo-García, S.; Sortino-Barrionuevo, J.F.; Reyes-Corredera, S.; Puglisi, C. Analysis of Susceptibility to Slope Movements in the Environment of Road Infrastructures. Models for Obtaining Predictive Mapping Applied to Roads in the Provinces of Malaga and Granada (Spain). Preprints 2021, 2021060704 (doi: 10.20944/preprints202106.0704.v1).

Abstract

This study addresses the peculiarities of the generation of slope movements in the context of road infrastructures and provide a predictive mapping of susceptibility to movements on slopes adjacent to road infrastructures (rockfalls). An inventory of slopes movements was mapped. From the development of the inventory of constant cases of mobilization that is used as a dependent variable, two statistical models can be obtained and compared for the same study area. One of them is based on the concept of frequency, whilst the other one is based on the application of a logistic regression. The results reveal the preponderant importance of lithology as a predictive variable, followed, at a considerable distance, by the slope gradient. Likewise, the importance of an unnatural and characteristic variable area of study, such as the presence of artificial cuts, is indicated as a causative factor. The results show a high degree of coincidence between the tendency of susceptibility predicted by the model, and the effective presence of empirical mobilization signs on the slopes, with Area Under Curve (AUC) values for Receiver Operating Characteristics (ROC) around 0.8.

Subject Areas

Road infrastructures; risk; slope movements; cartography of susceptibility.

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