This study proposes a new multidisciplinary framework, based on the concepts of safety, information and awareness, and economy and natural capital, to evaluate the sustainability of a mountain community prone to geohazards. In this study, a landslide susceptibility index (LSI) based on slope, lithology and drainage orders is used to develop a landslide susceptibility map for the District of Maolin. The accuracy of the LSI map is evaluated by verification with; Formasat-2 imagery taken for pre- and post-typhoon events, expert field observations of geology, slope, and mass movement processes, along with multi-temporal landslide inventory data results. A questionnaire was also distributed to the local communities to further evaluate the awareness of landslide hazards among residents.
The results reveal that by overlapping the LSI map and multi-temporal Formasat-2 imagery, the LSI values are correlated with the landslide locations. Expert field analysis further verified the location and type of mass movements occurring in Maolin District. Detailed analysis of questionnaire results was focused under the themes of information and awareness, and economy and natural capital. Questionnaire results indicate that residents have limited awareness and access related to landslide hazard information. Similarly, residents favor environmental protection, working within their community and government spending to reduce risk from geohazards.
This study presents a modified sustainability framework for the District of Maolin that is comprised of three core criteria including safety, information and awareness and economy and natural capital that can be followed to attain a safe and sustainable community. A community safety map is delivered that has identified hazard zones in an easy to understand format. This map can effectively communicate danger zones to local residents.
This study suggests that the factor of meander may further improve the performance of an LSI in the Maolin area due to the increasing frequency of extreme precipitation events that often generate slope movement. The landslide susceptibility modeling coupled with the application of a questionnaire is an effective multidisciplinary tool for natural hazard management and sustainable community development at a regional scale.

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