Validation of a Shallow Landslide Susceptibility Analysis Through a Real Case Study: An Example of Application in Rome (Italy)

In the last years, statistically based models (such as Logistic Regression)
have been frequently used for evaluating the probability of landslide occurrence over
large areas. In the case of Rome, over the years, more than 348 landslides have been
recorded throughout the city. For this reason, in this study, we implemented and
evaluated three main validation criteria of logistic regression to assess the rainfallinduced
landslide susceptibility in a specific area of the city of Rome. Through the
evaluation of the predictive performances, the best model has been identified and the
results were also compared with those obtained in similar case studies.