Se presenta un procedimiento para evaluar de forma cuantitativa el riesgo por deslizamientos teniendo en cuenta la peligrosidad, los elementos expuestos y su vulnerabilidad. El método utiliza los modelos de susceptibilidad obtenidos previamente a partir de las relaciones estadísticas existentes entre los deslizamientos ocurridos en el pasado (últimos 50 años) y una serie de parámetros del terreno relacionados con la inestabilidad. La frecuencia de deslizamientos en el pasado se ha utilizado para estimar frecuencias futuras. También se ha realizado un inventario y cartografía de los elementos afectados por deslizamientos en el pasado, y se han estimado los daños para cada tipo de elemento teniendo en cuenta la magnitud del tipo de deslizamiento analizado. Posteriormente se estimó la vulnerabilidad, que se expresa en valores de 0 a 1, a partir de la comparación entre pérdidas y valor del elemento afectado.La integración de la peligrosidad, vulnerabilidad y valor del elemento ha permitido obtener modelos de riesgo directo por deslizamiento para cada tipo de elemento. Además se han analizado las pérdidas indirectas ocasionadas sobre las actividades económicas por este proceso. El resultado final es un mapa de riesgo donde cada píxel muestra las pérdidas esperables por deslizamientos en los próximos 50 años / A quantitative procedure for landslide risk mapping has been developed considering hazard, vulnerability and exposed elements. The method is based on a susceptibility model previously developed from statistical relationships between past landslides occurred in the study area (last 50 years) and terrain parameters related to instability. Past landslide behaviour has been used to calculate landslide frequency for the future. An inventory of direct damage due to landslides during the study period was carried out and the main elements at risk in the area identified and mapped. Past monetary losses per type of element have been estimated and expressed as an average 'specific loss' for events of a given magnitude (corresponding to a specified scenario). Vulnerability has been assessed by comparing losses with the actual value of the elements affected and expressed as a fraction of that value (0-1).By integrating hazard, vulnerability and monetary value, direct landslide risk ( /pixel) has been computed for each element considered. Indirect losses from the disruption of economic activities due to landsliding have also been assessed. The final result is a risk map combining all losses per pixel for a 50-year period.

Regional landslide risk, as it is most commonly defined, is a product of the following: hazard, vulnerability and exposed population. The first objective of this research project is to estimate the regional landslide hazard level by calculating its probability of slope failure based on maximum slope angles, as estimated using data provided by digital elevation models (DEM). Furthermore, it addresses the impact of DEM resolution on perceived slope angles, using local averaging theory, by comparing the results predicted from DEM datasets of differing resolutions. Although the likelihood that a landslide will occur can be predicted with a hazard assessment model, the extent of the damage inflicted upon a region is a function of vulnerability. This introduces the second objective of this research project: vulnerability assessment. The third and final objective concerns the impact of urbanization and population growth on landslide risk levels.