Journal Papers

• Alberto J. Lamadrid, Diana Mitsova, Ann-Margaret Esnard, Alka Sapat, Monica Escaleras. Evidence from Hurricane Michael on the Short-term Decisions to Evacuate and its Relations to Infrastructure . Journal of Operations Management, 2020, under review.
  

• Diana Mitsova, Ann-Margaret Esnard, Alka Sapat, Alberto J. Lamadrid, Monica Escaleras, Catherine Velarde-Perez. Effects of Infrastructure Service Disruptions Following Hurricane Irma: A Multi-Level Analysis of Post-Disaster Recovery Outcomes. Natural Hazards Review, 2020, in press.
  This study analyzes the impact of infrastructure service disruptions and recoveries after Hurricane Irma at multiple levels.

• Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Policy-based disaster recovery planning model for interdependent infrastructure systems under uncertainty. Structure and Infrastructure Engineering, 2020, accepted.
  As part of PRAISys, this study presents a decision model for post-disaster restoratation planning by following the policy scheme. This model simulates the restoration process by executing restoration activities for repairing damaged component(s) with a higher recovery priority eariler, with the priority determined from predefined disaster recovery plans.

• Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Applications of artificial intelligence for disaster management. Natural Hazards, 2020, 103(3), 2631-2689. DOI: 10.1007/s11069-020-04124-3.
  This article reviews the state of art and practice of applying artificial intelligence (AI) for informed disaster management in four phases: mitigation, preparedness, response, and recovery. Practical decision support tools based on different AI methods are also discussed.

• Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Model for estimating the impact of interdependencies on system recovery. Journal of Infrastructure Systems, 2020, 26(3), 04020031. DOI: 10.1061/(ASCE)IS.1943-555X.0000569.
  This article presents a decision model of restoration planning for interdependent systems, based on multi-mode resource constrained project scheduling problem (MRCPSP), by considering various restoration-related uncertainties. The proposed MRCPSP model is applied to a simple example with two interdependent systems (power and communication) under a post-hurricane damage scenario.

• Diana Mitsova, Alka Sapat, Ann-Margaret Esnard, Alberto J. Lamadrid. Evaluating the Impact of Infrastructure Interdependencies on the Emergency Services Sector and Critical Support Functions Using an Expert Opinion Survey. Journal of Infrastructure Systems, 2020, 26(2), 04020015. DOI: 10.1061/(ASCE)IS.1943-555X.0000548.
  This study analyzes the impact of infrastructure interdependencies on the emergency services sector (ESS) and critical support functions using an expert opinion survey of emergency managers, city planners, utility providers, and other stakeholders from two study regions: South Florida and parts of New York (NY), New Jersey (NJ), and Eastern Pennsylvania (PA).

• Liyang Ma, Paolo Bocchini, Vasileios Christou. Fragility models of electrical conductors in power transmission networks subjected to hurricanes. Structural Safety, 2020, 82, 101890. DOI: 10.1016/j.strusafe.2019.101890.
  This paper presents a framework for the development of fragility models of the transmission conductors under hurricane winds.

• Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Resilience metrics and measurement methods for transportation infrastructure: the state of the art. Sustainable and Resilient Infrastructure, 2020, 5(3), 168-199. 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.

• Liyang Ma, Paolo Bocchini. Hysteretic model of single-bolted angle connections for lattice steel towers. Journal of Engineering Mechanics, 2019, 145(8), 04019052. DOI: 10.1061/(ASCE)EM.1943-7889.0001630.
  This paper presents a finite element model that can validate the analytical model of the single-bolted angle connections for lattice steel towers for capturing various hysteretic behaviors.

• Sicong Kuang, Brian D. Davison. Learning Class-specific Word Embeddings. Journal of Supercomputing, 2019, DOI: 10.1007/s11227-019-03024-z.
  This study presents a general framework consisting of a pair of convolutional neural networks to utilize the learned class-specific word embedding as input for text classification tasks. The proposed approach is applied to topic classification of a disaster-focused Twitter dataset and a benchmark Twitter sentiment classification dataset from SemEval 2013.

• Joshua Davis, Diana Mitsova, Tynon C. Briggs, Tiffany R. Briggs. Post-Hurricane Michael damage assessment using ADCIRC storm surge hindcast, image classification, and LiDAR . Shore & Beach, 2019, 87(4), 3-14. DOI: 10.34237/1008741.
  This study uses NOAA's National Geodetic Survey Emergency Response Imagery database, LIDAR, and tax appraiser data to assess storm damage after Hurricane Michael in Mexico Beach, FL.

• Diana Mitsova. Supporting natural hazards management with geospatial technologies. Oxford Research Encyclopedia of Natural Hazard Science, 2019, DOI: 10.1093/acrefore/9780199389407.013.283.
  This study illustrates the importance and great benefits of applying geospatial technologies in disaster management under different types of natural hazards.

• Diana Mitsova, M. Escaleras, Ann-Margaret Esnard, Alka Sapat, Alberto J. Lamadrid. The effects of infrastructure service disruptions and socio-economic vulnerability on hurricane recovery. Sustainability, 2019, 11(2), 516-532. DOI:10.3390/su11020516 (Special issue on Natural Disasters and Economics).
  By analyzing a cross-sectional survey of 989 households in central and south Florida, this study examines the effects of Hurricane Irma on post-disaster recovery eight months after the landfall.

• Kwami Senam Sedzro, X. Shi, Alberto J. Lamadrid, Luis Zuluaga. A heuristic approach to the post-disturbance and stochastic pre-disturbance microgrid formation problem. IEEE Transactions on Smart Grid, 2019, 10(5), 5574-5586. DOI: 10.1109/TSG.2018.2887088.
  This study proposes an approach to approximately solve the post-disturbance microgrid formation problem for medium to large and more realistic instances.

• 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, 94, 689-709. 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.

• Alka Sapat. Lost in Translation? Integrating Interdisciplinary Disaster Research with Policy Praxis. Risk Analysis, 2018, DOI: 10.1111/risa.13198.
  This study argues the importance of effective integration of policy praxis in disastrer research. It also points out epistemological, disciplinary, and attitudinal challenges for transcending disciplinary borders, with recommendations to overcome 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, 2018, 33(3), 2633-2643. 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. DOI: 10.1061/(ASCE)IS.1943-555X.0000342.
  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. Functionality-fragility surfaces. Earthquake Engineering and Structural Dynamics, 2017, 46(10), 1687-1709. DOI: 10.1002/eqe.2878.
  This paper present a generalized tool named the "Functionality-Fragility Surface" (FFS), which integrates fragility curves and restoration functions. FFS can evaluate functionality and resilience for damaged structures, infrastructure systems, and communities, in a probablistic manner. This generalized tool allows a rigorous representation to integrate resilience analyses of multiple systems and interdependency assessments within and across systems.

• Aman Karamlou, Paolo Bocchini. Sequencing algorithm with multiple-input genetic operators: application to disaster resilience. Engineering Structures, 2016, 117, 591-602. DOI: 10.1016/j.engstruct.2016.03.038.
  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. DOI: 10.1016/j.tre.2016.07.002.
  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. DOI: 10.1016/j.trb.2015.11.009.
  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.

Conference Proceedings

• Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Interdependency models for resilience analysis of transportation networks, The 10th International Conference on Bridge Maintenance, Safety and Management (IABMAS2020), Sapporo, Japan. Accepted.
  This work presents an optimization-based model for restoration planning by considering complex interdependencies and large uncertainty. The proposed model is successfully applied to the post-earthquake restoration simulations of transportation networks in the Lehigh Valley.

• Liyang Ma, Vasileios Christou, Paolo Bocchini. Probabilistic simulation of power transmission systems affected by hurricane events based on fragility and AC power flow analyses, The 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), May 26-30, 2019, Seoul, South Korea. Paper No. 73.
  This work presents the damage assessment of power transmission systems under high winds under a hurricane scenario in a probabilistic manner.

• Wenjuan Sun, Paolo Bocchini, Brian D. Davison. Comparing decision models for disaster restoration of interdependent infrastructures under uncertainty, The 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), May 26-30, 2019, Seoul, South Korea. Paper No. 238.
  This work presents different models of restoration decision-making for interdepedent systems. A case study of interdepedent infrastructures in the Lehigh Valley testbed under a hyperthetic earthquake scenario is presented by using the implementations in the PRAISys platform and considering uncertainties in damage assessment and restoration simulation.

• 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, Alka Sapat, Ann-Margaret Esnard, Alberto J. Lamadrid. Socioeconomic vulnerability and electric power restoration timelines in Florida: The case of Hurricane Irma. The 43rd Annual Natural Hazards Workshop, July 8-11, 2018, Broomfield, Colorado.
  

• 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 and resilience. 57th Annual Conference of the Association of the Collegiate Schools of Planning, Oct. 12-15, 2017, Denver, Colorado.
  

• 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 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, 56th Annual Conference of the Association of the Collegiate Schools of Planning, 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.

Book Chapters

• 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 (2021). Quantitative models for interdependent functionality and recovery of critical infrastructure systems. In: Objective Resilience: Manual of Practice, American Society of Civil Engineers.