Urban Interdependent Infrastructure System Network Modeling And Resilience Analysis

The normal operation of urban areas relies heavily on highly interconnected infrastructure systems.In order to ensure urban safety,it is of great significance to understand infrastructure system interdependency and optimize infrastructure system resilience.Due to the complexity of the problem and the limitations of the perspective,the existing research on systematic understanding and analysis of interdependent infrastructure systems is not thorough,and the qualitative description and quantitative analysis of infrastructure system resilience is not systematic.This dissertation constructs an urban framework from the perspective of the system.Based on this,it proposes a network modeling approach and a resilience optimization model for interdependent infrastructure systems and conducts empirical study on hospitals.First,an urban component framework is proposed.Based on system theory and urban ecology theory,urban system components and structure are identified and analyzed.Moreover,this dissertation further explores the mechanisms of infrastructure system interdependency.Based on data from California,USA,an empirical study is conducted using Bayesian network structure learning and conditional independence test in order to verify the rationality of the proposed urban component framework.Second,a network modeling approach for interdependent infrastructure systems is proposed.In order to represent interdependency and simulate disaster scenarios,this dissertation proposes a multi-layer weighted and directed network modeling approach.Based on this approach,a biased PageRank algorithm-based infrastructure facility criticality assessment approach is also proposed,which approach comprehensively consider sboth topological and functional importance of facilities and the potential impact of cascading failure.Based on five lifeline systems,an empirical study is conducted in order to verify the feasibility and effectiveness of the proposed network modeling and criticality assessment approaches.Third,an optimization model for infrastructure system resilience is proposed.To improves the traditional understanding of infrastructure system resilience,this dissertation introduces three new infrastructure system functionality variables,and qualitatively explains infrastructure system resilience process with two main phases from a new perspective.Moreover,based on resilience improvement measures targeted at the two phases,it proposes the quantitative optimization model for infrastructure system resilience with in-depth discussion for multiple infrastructure systems.Finally,an empirical study of hospital resilience optimization analysis is conducted.After in-depth field survey on four hospitals of Mianzhu City,this dissertation establishes a network model and optimizes resilience model based on proposed approaches.Moreover,two rounds of interviews are also conducted in the health care system to verify the practical value of theoretical results,and also to improve and enrich management implications from the results.A whole workflow for hospital resilience optimization is summarized.This dissertation,adopting systematice theory and perspective,proposes an urban component framework,providing new ideas fro infrastructure system related research.It also proposes infrastructure system network modeling approach and builds resilience optimization model,which offers a scinefitc and effective tool for infrastructure system resilience optimization.The empirical study provides a new method and basis for hospital resilience optimization practice.