The Experts below are selected from a list of 4659 Experts worldwide ranked by ideXlab platform

Mark Purcell - One of the best experts on this subject based on the ideXlab platform.

Ihnji Jon - One of the best experts on this subject based on the ideXlab platform.

Scott Miles - One of the best experts on this subject based on the ideXlab platform.

  • toward human centered simulation modeling for critical infrastructure disaster recovery planning
    arXiv: Human-Computer Interaction, 2018
    Co-Authors: Abbas Ganji, Scott Miles
    Abstract:

    Critical infrastructure is vulnerable to a broad range of hazards. Timely and effective recovery of critical infrastructure after extreme events is crucial. However, critical infrastructure disaster recovery planning is complicated and involves both domain- and user-centered characteristics and complexities. recovery planning currently uses few quantitative computer-based tools and instead largely relies on expert judgment. Simulation modeling can simplify domain-centered complexities but not the human factors. Conversely, human-centered design places end-users at the center of design. We discuss the benefits of combining simulation modeling with human-centered design and refer it as human-centered simulation modeling. Human-centered simulation modeling has the capability to make recovery planning simpler and more understandable for critical infrastructure and emergency management experts and other recovery planning decision-makers.

  • Toward Human-Centered Simulation Modeling for Critical Infrastructure disaster recovery planning
    2018 IEEE Global Humanitarian Technology Conference (GHTC), 2018
    Co-Authors: Abbas Ganji, Scott Miles
    Abstract:

    Critical infrastructure is vulnerable to a broad range of hazards. Timely and effective recovery of critical infrastructure after extreme events is crucial. However, critical infrastructure disaster recovery planning is complicated and involves both domain-and user-centered characteristics and complexities. recovery planning currently uses few quantitative computer-based tools and instead largely relies on expert judgment. Simulation modeling can simplify domain-centered complexities but not the human factors. Conversely, human-centered design places end-users at the center of design. We discuss the benefits of combining simulation modeling with human-centered design and refer it as human-centered simulation modeling. Human-centered simulation modeling has the capability to make recovery planning simpler and more understandable for critical infrastructure and emergency management experts and other recovery planning decision-makers. We qualitatively analyzed several resilience planning initiatives, post-disaster recovery assessments, and relevant journal articles to understand experts and decision-makers' perspectives. We propose a conceptual design framework for creating human-centered simulation models for critical infrastructure disaster recovery planning. This framework consists of three constructs: 1) user interaction with design features that end-users interact with, including model parameters assignment, decision-making support, task queries, and usability; 2) system representation that refers to system components, system interactions, and system state variables; and 3) computation core that represents computational methods required to perform processes.

Vishal Dineshkumar Soni - One of the best experts on this subject based on the ideXlab platform.

  • disaster recovery planning untapped success factor in an organization
    Social Science Research Network, 2020
    Co-Authors: Vishal Dineshkumar Soni
    Abstract:

    The disaster recovery planning forms to be an important component of any organization to overcome unplanned adversity. To function the successful organization or business model, the structuring of different sectors plays an important role and disaster planning becomes one such core element. Well before the catastrophic event occurs, an organized planned disaster management strategy can overcome the unexpected event and help to recover. In most organization, are equipped with the latest technological fronts but lacks disaster recovery plan management which may often lead to crisis. Even in the current scenario, where a large number of unexpected events are encountered, scanty measures are being implemented to equipped with disaster recovery plan management. Hence, based on these facts, the present study emphasis, the importance, components, and planning strategies of disaster recovery. Though a large number of reports highlight the structuring and functioning of an organization, only small studies have shed light on the presented topic which became the subject of investigation and study in this mini-review.

Eun Jeong Cha - One of the best experts on this subject based on the ideXlab platform.

  • post disaster recovery planning of interdependent infrastructure systems a game theory based approach
    13th International Conference on Applications of Statistics and Probability in Civil Engineering ICASP 2019, 2019
    Co-Authors: Eun Jeong Cha
    Abstract:

    This project is supported by NIST-funded Center for Risk-Based Community Resilience planning, which is gratefully acknowledged.

  • Modeling the damage and recovery of interdependent critical infrastructure systems from natural hazards
    Reliability Engineering and System Safety, 2018
    Co-Authors: Xian He, Eun Jeong Cha
    Abstract:

    Understanding the impact of disasters to civil infrastructure network will guide strategic pre-disaster hazard mitigation and post-disaster recovery planning of a community. The facilities in civil infrastructure network depend on each other to exchange product, information or services. When disaster happens, these dependencies would aggravate the initial damage and lead to cascading failures. Thus, understanding the dependencies among infrastructure facilities is essential in modeling the damage and recovery of a community under disruptive events. This study builds upon the Dynamic Inoperability Input–output Model to assess the recovery of the civil infrastructure facilities by considering the facility-level dependencies. The recovery of the integrated network was assessed utilizing the characteristic parameters from graph theory. This methodology was demonstrated with a hypothetical infrastructure network, consisting of power, water and telecommunication systems under a hurricane. The sensitivity of the network recovery to the dependency measures was investigated, which showed that the recovery time is sensitive to the level of dependency between different systems. The proposed methodology was compared with a conventional model with system-level interdependencies and showed that considering facility-level dependencies would yield more refined result. The model was then applied to simulate the power system restoration of Galveston City, Texas under Hurricane Ike.