| Urban road network is the core infrastructure that supports the efficient and orderly operation of city.In recent years,due to the continuous expansion of city scale,the structure of the road network has become more complex,and major disruptive events such as earthquakes,floods,and typhoons have caused more and more adverse effects on the normal operation of the road network.Under the major disruptive events,the urban road network is the lifeline system for disaster relief,thus it is essential to maintain its operational stability.Compared with the existing reliability,vulnerability and other indicators,resilience can fully reflect the ability of the system to absorb and recover from disturbances under disruptive events,and is more suitable for the evaluation of urban road network performance under abnormal events.Based on this,this thesis takes the urban road network under major disruptive events as the research object,respectively defines the quantitative evaluation indicators of road network topology resilience and service resilience,constructs relative resilience assessment models,and proposes a post-disaster road network optimal recovery strategy aiming the goal of maximizing resilience.The main research contents of this thesis are as follows:(1)A quantitative index and an evaluation model for topology resilience of urban road network are proposed.Combining knowledge of probability theory and graph theory,a quantitative index of urban road network topology resilience conforming to the connotation of resilience is proposed,an evaluation model based on Bayesian networks is constructed,and probability importance and critical importance indicators based on topology resilience are proposed,a case analysis is carried out at last.(2)A quantitative index and an evaluation model for service resilience of heterogeneous dynamic urban road network considering the influence of information conditions are proposed.By analyzing the potential impact of information conditions on the decision-making behavior of travelers under disruptive events,travelers are divided into two categories according to whether they are equipped with ATIS(Advanced Traveler Information Systems),according to the different route selection behaviors of the two categories of travelers,mixed stochastic user equilibrium and mixed day to day traffic assignment models are used to describe the traffic flow distribution state of the road network before and after the disruptive events.On this basis,accessibility is used as the road network performance measurement index,based on the connotation of resilience,a quantitative index and an evaluation model of road network service resilience are constructed from the perspective of the cumulative performance loss of the road network during the duration of the disruptive events,heuristic algorithm is designed and calculation example is carried out at last.(3)An optimal recovery strategy of urban road network after disaster with the goal of maximizing resilience is proposed.Taking the network maximum flow as the post-disaster road network performance measurement index,a post-disaster road network resilience evaluation model based on the maximum network flow is constructed,and an optimal recovery model of the post-disaster road network with the goal of maximizing resilience is proposed,and genetic algorithm is designed to solve the model.The calculation example compares and analyzes the impact of different disruptive scenarios and recovery strategies on road network resilience.The research results show that the proposed topology resilience and service resilience indexes can fully describe the cumulative performance of the whole process of road network performance degradation and recovery under disruptive events,and can effectively evaluate the ability of the road network to absorb disturbances and recover from disturbances,which is consistent with the connotation of resilience;The equiped rate of ATIS will affect the distribution of road network traffic,and then affect the road network service resilience index,indicating that it is necessary to consider the impact of information conditions in the service resilience assessment;the optimal recovery strategy is better than the capacity priority recovery strategy and the random recovery strategy,and the more the number of failed road sections,the more obvious the advantages of the optimal recovery strategy. |
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