Evaluation of Slope Assessment System in Predicting Landslides along Roads Underlain by Granitic Formation

Abstract

A slope assessment is to estimate the probability of occurrence and likely severity of landslides in a given area. This study evaluates two existing Slope Assessment Systems (SAS) for predicting landslide at the micro level of assessment developed by the Public Works Department of Malaysia, namely the Slope Information Management System (SIMS) and the Slope Management and Risk Tracking System (SMART). From the results of this study, it appears that none of the existing SAS is satisfactory for predicting landslide in granitic formation, for various reasons such as the use of hazard score developed from another country and use of data-base derived from different rock formation. A new SAS was developed using nine-parameters equation that was based on the stepwise discriminant analysis. The new SAS appears to show a good capability in predicting landslides in granitic formations.