With development of remote sensing(RS) and Geographical Information Systems(GIS) technique, the environmental-geological disasters in extensive area can be evaluated in a short time. In this study, a risk model constituted of failure probability(FP) and consequence score(CS) was developed. The proposed risk model is based on discriminant analysis and bayesian theorem to calculate FP. The CS is quantified in accordance with grade table of consequence factor. FP and CS can be combined to calculate the risk index in 56 Aged Hillside Residential Communities of Xindian Distinct. In addition, the use of statistical cluster analysis classifies the communities as high, medium and low risk classes. Based on the results from risk analysis, the several risky communities are investigated in order to verify the sensitive areas within those selected communities. Combined the risk assessment results with the investigated communities, current study provides risk maps to the authorities for the purpose of community-based disaster prevention programs and countermeasures development references.