Abstract
Road centerline and maximum inundation depth methods have been used in most previous studies to assess road waterlogging, but accurately expressing the spatiotemporal characteristics of road waterlogging is difficult. To address this issue, a new multilevel road waterlogging assessment model based on four spatial scales and four assessment indices was developed. Then, a road waterlogging information acquisition method was designed based on flood models (FMs) and spatial analysis methods, and existing multihierarchical road network models (RNMs) were extended to integrate road waterlogging information. Next, with a typical region selected as the study area, road waterlogging information under specific rainstorm scenarios was acquired and analyzed with the FMs and RNMs. Then, a multilevel assessment of road waterlogging and various analyses were conducted. The case study showed that compared to traditional models, the new model improved the prediction of the spatiotemporal characteristics of road waterlogging.
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