关键词: 城市道路, 交通系统, 交通韧性, 雨涝, 韧性评价, 交通性能

Abstract:

In order to cope with the interference of waterlogging events on the operation of the urban road traffic system and enhance the adaptability and recovery ability of the traffic system, a road traffic waterlogging resilience model was constructed to analyze the temporal and spatial evolution characteristics of resilience. Based on a geographic information system (GIS), a two-layer analysis platform of road network waterlogging, including a lower-layer rainstorm flood analysis model and an upper-layer two-dimensional hydrodynamic model, was built. The dynamic weight function was introduced to construct the dynamic evaluation model of road network topology, and the travel time ratio was used as the traffic performance evaluation index. Then, the comprehensive evaluation system for road traffic resilience under waterlogging scenarios was constructed. The kernel density estimation method was used to analyze the temporal and spatial dynamic evolution of resilience, and the spatial correlation analysis of resilience was carried out based on the network global Moran's index and the spatial analysis technology of cold and hot spots, so as to reveal the temporal and spatial characteristics of road traffic resilience under waterlogging scenarios. A case study on the resilience of the road traffic system under different rainfall intensities was conducted using the road network in Qingdao Economic Development Zone as an example. The results show that as rainfall intensity increases across scenarios with return periods ranging from 10 to 100 years, the range, depth and duration of road waterlogging show an increasing trend. The peak time of water accumulation advances from 105 min to 90 min, and the proportion of inundated roads increases from 4.75% to 20.08%. The road network resilience shows a decreasing trend, and the minimum value decreases from 0.86 to 0.74. The recovery time shows an extended trend, with the recovery delay increasing by up to 67%. The hot spot (high value) and cold spot (low value) of waterlogging resilience exhibit a clustered spatial distribution. The spatial overlap between cold spots and waterlogged areas reaches 80%, and the hot spot areas shift spatially as the waterlogged area expands. The lower the technical grade of a road is, the greater the impact of waterlogging is, and the failure of local roads leads to contiguous vulnerable areas. The high-density road network has good functional stability under low-intensity rainfall, and the failure of key road sections in sparse road networks causes spatial spillover effects.

Key words: urban roads, traffic system, traffic resilience, waterlogging, resilience evaluation, traffic performance