Journal ArticleDOI
A resilience optimization model for transportation networks under disasters
Tsai Yun Liao,Ta-Yin Hu,Yi No Ko +2 more
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TLDR
This study aims to measure and optimize transportation resilience under disasters with an optimization model for resilience under the constraints of budget and traversal time and provides a good connection between preparedness/recovery activities and network-level resilience.Abstract:
Natural and/or man-made disasters have caused serious problems in transportation systems due to their unpredictable and destructive characteristics. Under disasters, transportation infrastructure plays an important role in emergency management; however, this infrastructure is also vulnerable because of disasters. One way to describe the vulnerable is through resilience. Resilience refers to the ability to recover from a disruption under unexpected conditions, such as natural and/or man-made disasters. How to enhance resilience of transportation infrastructure under disasters is an important issue when facing natural or man-made disasters. This study aims to measure and optimize transportation resilience under disasters. An optimization model for resilience under the constraints of budget and traversal time is proposed. One special feature is that preparedness and recovery activities are implicitly considered and incorporated within the optimization model. The mathematical model provides a good connection between preparedness/recovery activities and network-level resilience. In order to illustrate the proposed model, a real city network and assumptions on activities of emergency management are used in a series of numerical experiments. Traffic conditions before and after disasters are evaluated by the simulation-assignment model, DynaTAIWAN. Experiments and results illustrate advantages for network-level transportation resilience assessment and also prioritize preparedness and recovery activities under budget constraints.read more
Citations
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Journal ArticleDOI
Resilience of Transportation Systems: Concepts and Comprehensive Review
TL;DR: A systematic literature search method integrating database search, related journal search, and citation supplement is proposed to select all the appropriate articles to provide a synthesis of the up-to-date literature on resilient transportation, focusing on concepts and methodologies.
Journal ArticleDOI
Cyber-physical-social interdependencies and organizational resilience: A review of water, transportation, and cyber infrastructure systems and processes
Shima Mohebbi,Qiong Zhang,E. Christian Wells,Tingting Zhao,Hung Nguyen,Mingyang Li,Noha Abdel-Mottaleb,Shihab Uddin,Qing Lu,Mathews J. Wakhungu,Zhiqiang Wu,Yu Zhang,Anwesh Tuladhar,Xinming Ou +13 more
TL;DR: In this article, an infrastructure-oriented approach is taken to systematically examine different types of interdependencies and resilience quantification techniques for water, transportation, and cyber infrastructures.
Journal ArticleDOI
Urban Transportation Networks Resilience: Indicators, Disturbances, and Assessment Methods
TL;DR: In this article, a systematic literature review presents resilience assessment methods for transportation networks, indicators, and disturbance categories, and a new representation is suggested for the relationships between performance, time, and resilience, emphasizing other network characteristics and their association with resilience.
Journal ArticleDOI
Resilience of urban transportation systems. Concept, characteristics, and methods.
TL;DR: This article provides a thorough and conceptual review of resilience applied to urban transportation systems focusing on its definitions, characteristics, and quantification methods for generating a tool to assess the resilience of the urban transportation system.
Journal ArticleDOI
Enhancing resilience of interdependent traffic-electric power system
Qiling Zou,Suren Chen +1 more
TL;DR: This study presents a bi-level, stochastic, and simulation-based decision-making framework for prioritizing mitigation and repair resources to maximize the expected resilience improvement of an interdependent traffic-electric power system under budgetary constraints.
References
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