Research On Optimization Of Post-disaster Emergency Repair Strategy For Urban Road Public Transport Network Considering Dynamic Travel

The urban road public transport network is closely related to social and economic development,and it is an important carrier for residents’ daily travel and the core infrastructure supporting urban development.With the gradual improvement of the urban public transport system,the demand for conventional road public transport has stabilized,and the focus of research on the urban road public transport network has gradually shifted to improving network resilience and the ability to deal with various major risks.In recent years,frequent major disasters and accidents have caused more and more adverse impacts on the road and public transport network,hindering social and economic activities,but also unable to guarantee post-disaster rescue and reconstruction work.Therefore,after a disaster,it is necessary to repair the damaged components in the network in time to ensure the stability of its basic functions and reduce the adverse impact on disaster relief work.However,most of the existing studies focus on the network structure and function to solve the restoration strategy,less consideration is given to the impact of travelers on the restoration project.In this regard,this paper takes the urban road bus network to be repaired after the disaster as the research object,and aims at the optimal resilience.A post-disaster emergency repair strategy optimization method for urban road public transport network considering dynamic travel is proposed.The main research contents are as follows:First of all,starting from the operation mode and structural characteristics of urban road public transport and using complex network theory,a road public transport network model with road sub-network as the carrier and coupled with the public transport sub-network is constructed.The complex network characteristics of the road public transport network and its sub-networks are compared and analyzed with examples,and the key components in the network are identified through the network efficiency loss value,which provides a theoretical basis for the follow-up research on the post-disaster emergency repair strategy optimization of the road public transport network.Secondly,the post-disaster network repair process and dynamic resilience evolution mechanism are analyzed,and based on the constructed network model,a dynamic resilience-oriented road bus network restoration selection and sequencing optimization method is proposed.Taking the two resilience indicators as the objective function,an optimization model for the multi-stage restoration selection and sorting integration problem of damaged components was established,and design a genetic algorithm to solve the model.Compare the solution results of the model with the empirical repair strategies to verify the effectiveness of the model.Then,based on the theory of traffic distribution,combined with the influence of information conditions on traveler’s choice behavior,a post-disturbance dynamic heterogeneous traffic flow allocation model considering the influence of information conditions is constructed.Among them,the users in the network are distinguished by the presence or absence of ATIS(Advanced Traveler Information System),and the exponential smoothing model is used to simulate the user’s learning process of travel experience.Through the calculation example,it is verified that the addition of ATIS equipment will affect the result of traffic distribution in the network.Finally,considering the characteristics of the emergency repair phase of the road public transport network and the user’s travel choice behavior,an optimization method for the post-disaster emergency repair strategy of the road public transport network considering dynamic travel is proposed.Based on the above research content,the dynamic heterogeneous distribution model is embedded in the repair strategy optimization model to construct a bi-level programming model,and the network performance is represented by the network connectivity and the user travel choice behavior is described by the road resistance function.The optimal repair strategy is solved by an example to verify the feasibility of the model.