Research On The Evaluation And Optimization Strategy Of Urban Metro Network Resilience Based On Bayesian Network Optimization

As a pivotal component of modern urban transportation,the urban metro system holds immense significance in ensuring the safety and stability of urban transport.The operational reliability and resilience of its network system bear crucial importance.The urban metro network,comprising a complex interconnection of multiple subsystems,can significantly impact the overall functionality of the urban transport system if failures or disruptions occur.Hence,researching the resilience and optimization strategies of urban metro networks holds profound theoretical and practical value.This article initiates with a comprehensive review and analysis of existing literature pertaining to urban metro network resilience,thereby identifying the current research trends and limitations in this field.It elucidates the characteristics and evaluation dimensions of resilience while undertaking an in-depth analysis and synthesis of the features and influencing factors of urban metro network resilience.By incorporating resilience assessment into urban metro network research,the article undertakes a preliminary identification of factors that impact metro network resilience.Employing three dimensions,namely resistance to external disturbances(resistance),system resilience recovery(recovery),and emergency response indicators(absorption),and drawing references from relevant legislation,literature,and industry standards,the article employs the grey relational analysis method to screen indicators,leading to the identification of 27 resilience evaluation indicators for urban metro networks.Furthermore,based on the scoring values assigned by professionals in academia and industry,a comprehensive weighting method that combines the Analytic Hierarchy Process(AHP)and entropy weight method is utilized to determine the weights of each resilience indicator.Building upon this foundation,along with Bayesian network theory and the matter-element extension model,subjective factors in the evaluation process are mitigated,culminating in the development of a resilience assessment model for urban metro networks.Lastly,taking the metro network system of Xi’an city as a case study,Python software is employed to calculate resilience indicator values and assessment levels of the metro network system.Subsequently,an analysis of the evaluation results is conducted,accompanied by optimization recommendations for the Xi’an metro network.These recommendations encompass strategies and suggestions to enhance urban metro network resilience in the domains of system operation and control,equipment maintenance and repair,emergency response capabilities,as well as organizational and institutional support.The ultimate objective is to augment the operational reliability and resilience levels of urban metro networks,refine the theoretical framework concerning urban metro network resilience assessment,elevate urban competitiveness,and advance sustainable urban development.