Author
Xiaodong Zhang
Bio: Xiaodong Zhang is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Flow network & Disaster recovery. The author has an hindex of 2, co-authored 2 publications receiving 306 citations.
Papers
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TL;DR: The problem of measuring a network's maximum resilience level and simultaneously determining the optimal set of preparedness and recovery actions necessary to achieve this level under budget and level-of-service constraints is formulated as a two-stage stochastic program.
329 citations
TL;DR: In this paper, a stochastic, time-dependent integer program with recursive functions is proposed for the problem of assessing a rail-based freight transportation system's resilience to disaster events, and two solution methods are presented, both employing a decomposition approach that eliminates the need for recursive computations.
Abstract: A stochastic, time-dependent integer program with recursive functions is proposed for the problem of assessing a rail-based freight transportation system’s resilience to disaster events. This work adds to this notion of resilience by explicitly considering that only limited resources will be available to support recovery activities, and their simultaneous implementation assumed in the prior work may not be possible. That is, the order in which recovery actions are taken can greatly affect gains achieved in capacity recovery over time. By developing an optimal schedule for a set of chosen recovery actions for each potential disaster scenario, the proposed model provides a more accurate depiction of the system’s resilience to disaster. Two solution methods are presented, both employing a decomposition approach that eliminates the need for recursive computations. The first is an exact decomposition with branch-and-cut methodology, and the second is a hybrid genetic algorithm that evaluates each chromosome’s fitness based on optimal objective values to the time-dependent maximum flow subproblem. Algorithm performance is assessed on a test network.
38 citations
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TL;DR: This paper presents a structured overview of the multimodal transportation literature from 2005 onward, where it focuses on the traditional strategic, tactical, and operational levels of planning, where the relevant models and their developed solution techniques are presented.
531 citations
TL;DR: In this article, a comprehensive overview of the literature on transportation infrastructure system performance in disasters is provided, including those articles appearing in refereed journals, conference proceedings, and technical reports since the late 1990s that provide insights and tools for the assessment of anticipated transportation system performance, along with its management given the possibility of physical damage resulting from a future hazard event.
Abstract: This paper provides a comprehensive overview of the literature on transportation infrastructure system performance in disasters Specifically, it reviews those articles appearing in refereed journals, conference proceedings, and technical reports since the late 1990s that provide insights and tools for the assessment of anticipated transportation system performance, along with its management, given the possibility of physical damage resulting from a future hazard event In the considered literature, performance may be gauged under characteristics of risk, vulnerability, reliability, robustness, flexibility, survivability, and resilience, the most common concepts or measures in the literature In addition to providing an archive and synthesis of recent literature on this topic, the approximately 200 articles are classified based on a host of criteria, including applied measure (qualitative or quantitative), conceptual approach, and methodology
311 citations
TL;DR: This study proposes a bi-objective mixed possibilistic, two-stage stochastic programming model to address supplier selection and order allocation problem to build the resilient supply base under operational and disruption risks.
Abstract: This study proposes a bi-objective mixed possibilistic, two-stage stochastic programming model to address supplier selection and order allocation problem to build the resilient supply base under operational and disruption risks. The model accounts for epistemic uncertainty of critical data and applies several proactive strategies such as suppliers’ business continuity plans, fortification of suppliers and contracting with backup suppliers to enhance the resilience level of the selected supply base. A five-step method is designed to solve the problem efficiently. The computational results demonstrate the significant impact of considering disruptive events on the selected supply base.
285 citations
TL;DR: In this paper, the role of network topology and the topology's characteristics in a transportation system's ability to cope with disaster is investigated, and the impact of component-level damage on system resilience is also investigated.
244 citations
TL;DR: In this paper, the authors proposed a framework for measuring community resilience at different spatial and temporal scales, including population and demographics, environmental and ecosystem, organized governmental services, physical infrastructures, lifestyle and community competence, economic development, and social-cultural capital.
Abstract: In recent years, the concept of resilience has been introduced to the engineering field in particular related to disaster mitigation and management. However, the built environment is only part of the elements that support community functions. Maintaining community functionality during and after a disaster, defined as resilience, is influenced by multiple components. The paper is proposing a framework for measuring community resilience at different spatial and temporal scales. Seven dimensions are identified for measuring community resilience: population and demographics, environmental and ecosystem, organized governmental services, physical infrastructures, lifestyle and community competence, economic development, and social-cultural capital. They are summarized with the acronym PEOPLES. Each dimension is characterized by a corresponding performance metric that is combined with the other dimensions using a multilayered approach. Therefore, once a hybrid model of the community is defined, the propo...
206 citations