This paper presents an analytical algorithm for evaluating the hazardous areas affected by the liquefied slope failures from top of the slopes. The study area is located on Shobara-city in Hiroshima prefecture, where many liquefied slope failures had been simultaneously induced by the unpredictable local downpour (July 16, 2010). Based on structural equation modeling (SEM), the quantitative model elucidates the relationship between causal factors (i.e., spatial map data and satellite remotely sensed data) and training data sets of past occurrences of slope failures. Through a measurement equation, the trigger factor is inversely estimated, and a trigger factor influence map (TFI map) can be also produced. To produce the TFI map, the following training data sets are defined: 1)the top of slope, the middle of slope, and the toe of slope. The differences between the TFI maps for all cases are delineated on the difference maps which contribute to evaluating hazardous areas affected by liquid-like failures.