Restoration strategies for urban road network considering resilience and scheduling costs
Urban road-traffic networks are vital to transportation systems as they are critical infra-structures for city operations.Owing to the increased frequency of global extreme weather events,these networks are typically the first to be affected by natural disasters.Catastrophes,such as torren-tial rain-induced floods and earthquakes,can cause extensive damage to urban road systems,thus dis-rupting city functioning and exerting significant economic and social effects.This study focuses on urban road networks during recovery from post-unconventional events.A resilience-assessment framework is proposed that considers maintenance costs,road-segment importance,and traveler be-havior during network restoration.A bilevel programming model for network-repair strategies under such events is established,in addition to a heuristic solution algorithm based on repair importance.The feasibility and effectiveness of the method are confirmed based on the Sioux Falls network case study,where the optimal repair strategy are determined within the specified resource constraints.The results indicate that network resilience can be enhanced significantly by adopting an appropriate re-pair plan,as indicated by the stepwise improvement in network performance during restoration.The number of maintenance teams and the weight of scheduling costs are key factors in strategy develop-ment.The optimal recovery and highest resilience are observed in three teams,in addition to a dis-patch-cost weighting factor of 0.50.This study provides theoretical support for practical repair plan-ning and decision-making guidance during emergencies..
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维普
