突发事件下城市交通路网小时级韧性度量模型OA

[Background]Urban traffic networks,as critical infrastructure for city operations,exhibit resilience under disruptive events that directly influences the recovery of urban functions and socio-economic stability.Traditional resilience assessment methods primarily focus on static or daily-scale analyses and fail to capture the short-term dynamic response characteristics of the system.[Objec-tive]In order to effectively evaluate the road network performance under emergency events,an ur-ban road network resilience assessment model based on intraday day-varying hourly-level traffic dis-tribution flow is proposed.[Method]Considering the dynamic changes in traffic flow during sudden incidents,the model integrates the elastic demand based on understanding travel time,dynamic changes in network supply characteristics,and heterogeneous traveler behaviors.An evolutionary al-location model of intra-day hourly dynamic characteristics is established,with an iterative solution algorithm.Resilience measurement indicators based on multi-element are defined,including intra-day hourly traffic flow allocation,network efficiency,and reachability indicators.A dynamic resil-ience measurement framework is designed,and case studies on topological roads are conducted.[Re-sult]The multi-element resilience measurement indicator proves to be the most stable for short-term resilience measurement.The proportion of informed users and the quality of information are key fac-tors affecting network resilience.Network resilience approaches optimal performance when approxi-mately 75%of users are informed.Active information intervention by management departments posi-tively enhances network resilience,with moderate intervention intensity effectively improving the network's recovery efficiency.[Application]The proposed hourly dynamic resilience measurement model provides a systematic tool for assessing the emergency response and recovery capabilities of urban traffic systems.The findings offer scientific support for urban traffic management authorities in formulating emergency response strategies,optimizing information dissemination,and enhancing network recovery efficiency.