Diana Mitsova, Ann-Margaret Esnard, Alka Sapat, Betty S. Lai. Socioeconomic vulnerability and electric power restoration timelines in Florida: the case of Hurricane Irma. Natural Hazards, 2018, DOI: 10.1007/s11069-018-3413-x.
This study analyzes the power outage data in Florida State in Hurricane Irma. It invesitgates how urban and rural counties, as well as socioeconomic vulnerability impact the outage duration and recovery rate. Research findings from this study can support decision-makers to develop efficient plans and policies while considering socioeconomic vulnerability.
Diana Mitsova. Integrative Interdisciplinary Approaches to Critical Infrastructure Interdependency Analysis. Risk Analysis, 2018, DOI: 10.1111/risa.13129.
This study uses three interdisciplinary approaches to assess the infrastructure interdependencies: (a) integrating engineering models and social science research, (b) engaging communities in participative and collaborative forms of social learning and problem solving using simulation models, and (c) developing interactive simulations where IT systems and humans act as “peers” leveraging the capacity of distributed networked platforms and human-in-the-loop architectures. This study helps to address potential future inquiries of interdisciplinary research in the critical infrastructure protection.
Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Resilience metrics and measurement methods for transportation infrastructure: the state of the art. Sustainable and Resilient Infrastructure, 2018, DOI: 10.1080/23789689.2018.1448663.
This paper presents a comprehensive review of metrics and analysis methods for assessing the resilience of transportation infrastructure, with discussions on practical application tools and implementation challenges.
Kwami Senam Sedzro, Luis Zuluaga, Alberto J. Lamadrid. Allocation of resources using a Microgrid formation approach for resilient electric grids. IEEE Transactions on Power Systems, 2017, 99, DOI 10.1109/TPWRS.2017.2746622.
This paper uses a microgrid formation approach to allocate resources to build electric networks with better diaster resilience.
Aman Karamlou, Paolo Bocchini. From component damage to system-level probabilistic restoration functions for a damaged bridge. Journal of Infrastructure Systems, 2017, 23(3), 04016042.
This paper proposes a simulation-based technique to compute the probabilistic characteristics of the functionality for a damaged bridge at component-level. Uncertainties in restoration durations and decision process are considered in the simulation analysis. The proposed methodology is applied to a multispan simply supported (MSSS) steel girder bridge after an earthquake.
Aman Karamlou, Paolo Bocchini. Sequencing algorithm with multiple-input genetic operators: application to disaster resilience. Engineering Structures, 2016, 117(C), 591 - 602.
This paper presents a novel evolutionary optimization methodology called "Algorithm with Multiple-Input Genetic Operators” (AMIGO) for optimal resilience restoration scheduling independent tasks considering resource and time constraints.
Ying Zhang, Lawrence V. Snyder, Ted K. Ralphs, Zhaojie Xue. The competitive facility location problem under disruption risks. Transportation Research Part E: Logistics and Transportation Review, 2016, 93, 453-473.
This paper investigates a facility location problem incorporating service competition and disruption risks. A new binary bilevel linear programming (BBLP) model is developed to determine the locations for the leader to maximize her market share, under the strongest possible response by the follower.
Ying Zhang, Lawrence V. Snyder, Mingyao Qi, Lixin Miao. A heterogeneous reliable location model with risk pooling under supply disruptions. Transportation Research Part B: Methodological, 2016, 83, 151-178.
This paper investigates a facility location model that considers the disruptions of facilities and the cost savings from the inventory risk-pooling effect and economies of scale.
Sicong Kuang, Brian D. Davison. Class-specific word embedding through linear compositionality, Proceedings of the IEEE International Conference on Big Data and Smart Computing (BigComp), January 15-18, 2018, Shanghai, China.
This paper expands the work presented on MAISoN'17, presenting a general framework consisting of neural networks for text classification tasks followed by evaluations and discussions.
Diana Mitsova, Alberto J. Lamadrid, Ann-Margaret Esnard, Alka Sapat, Yanmei Li. Framework for criticality assessment of infrastructure interdependencies to support planning for community readiness. 2017.
Aman Karamlou, Liyang Ma, Wenjuan Sun, Paolo Bocchini. Generalized probabilistic restoration prediction, ICOSSAR 2017, 12th International Conference on Structural Safety & Reliability, 6-10 August, 2017, Vienna, Austria, pp.3249-3258.
This conference paper expands the simulation-based technique (Karamlou and Bocchini 2017) to compute the probabilistic characteristics of the functionality for a damaged substation and a group of damaged bridge structures at component-level.
Diana Mitsova, Alka Sapat, Ann-Margeret Esnard, Alberto J. Lamadrid. Using expert judgment to understand the impacts of critical infrastructure interdependencies on the delivery of vital community services, 42nd Annual Natural Hazards Research and Applications Workshop, July 9–12, 2017, Broomfield, Colorado.
This conference paper presents the results from expert survey on infrastructure interdependencies based on expert experiences from past disasters, such as Hurricane Sandy and Hurricane Mathew.
Sicong Kuang, Brian D. Davison. Class-specific word embedding through linear compositionality, International Workshop on Mining Actionable Insights from Social Networks (MAISoN'17) , February 6-10, 2017, Cambridge, UK .
This conference paper applies the linear compossitionality to analyze class-specific word embedding problems.
Diana Mitsova, Alka Sapat, Ann-Margeret Esnard. Modeling and path diagrams for understanding critical infrastructure interdependencies and cascading effects from disasters, 42nd Annual Natural Hazards Research and Applications Workshop, Nov 3-6, 2016, Portland, Oregon.
This conference paper presents models and path diagrams for infrastructure interdependencies and cascading failures from disasters.
Francesco Rigato, Mariano Angelo Zanini, Paolo Bocchini. Time-series analysis for the calibration of causative models of spatially distributed infrastructure interdependencies in post-disaster recovery, 1st International Workshop on Resilience, September 20-22, 2016, Torino, Italy.
This conference paper investigates the functionality interdependencies between power, transportation, and communication systems through time-series analysis of simulated data for post-disaster recovery.
Diana Mitsova, Ann-Margaret Esnard (2018). Chapter 8. GIS applications in flood hazard modeling; Chapter 10. Infrastructure vulnerability to climate impacts; Chapter 13. Modeling and simulation of critical infrastructure interdependencies to improve climate resilience of urban systems. In: GIS Applications in Climate Adaptation Planning, Routledge.
Wenjuan Sun, Paolo Bocchini, Brian D. Davison (2019). Quantitative models for interdependent functionality and recovery of critical infrastructure systems. In: EMI Objective Resilience Manual of Practice, American Society of Civil Engineers.