城市地下管网管损事件与交通路网耦合特征分析OA

Taking the water supply network and road network in Shanghai's central Puxi area as a case study,this paper analyzes 5 630 pipeline failure records from 2004 to 2022.Based on a pipeline failure rate model and machine learning algorithms,it examines the influence of pipeline attributes and road network characteristics on pipeline failure rate and failure probability,and reveals the coupling characteristics between urban underground pipeline failures and road networks.The results demonstrate that in the coupled pipeline-road network system,pipeline vulnerability fundamentally depends on its physical attributes,while the traffic-induced dynamic effects of the road network are key triggers of pipeline failures.Pipelines located closer to road intersections show a higher failure probability.Pipelines located at roundabouts exhibit the highest failure rate,followed by those at cross and X-shaped intersections.Pipelines crossing roads at oblique angles are the most vulnerable,followed by those crossing roads perpendicularly,whereas pipelines parallel to roads are the least vulnerable.