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susceptible to landslide, we employed overlay analysis, which integrates two map features: the road network and landslide hazard. Then, using the values of landslide hazard grade and road length (or road area) obtained by overlay analysis, we proposed a matrix analysis to assess the road network vulnerability at the aggregate level as an adjusted unit link according to landslide hazard with a consideration of two indices: one index is the seriousness of the landslide hazard grade; the other index is the proportion of road length (or road area) that is exposed to landslide hazard within an adjusted unit link. The resulting maps can be useful to decision makers with no prior knowledge of the technique. Results show different road risk maps, and also highlight vulnerable road links through the entire road network. This approach can be useful to prepare new transportation infrastructure information, manage that information, and adapt to the lack of reliable information on natural disaster hazards occurring across a geographical area.
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Lee et al. (2017) studied this question.
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