Disaster Management System for Southwestern Indiana

Uddin, Nasim; Engi, D.

doi:10.1061/(asce)1527-6988(2002)3:1(19)

Cited by 23 publications

(5 citation statements)

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“…Post-disaster response is generally regarded as a systems engineering situation (Uddin and Engi 2002). Therefore, a further method was needed to convert the abstract thinking into a concrete form.…”

Section: Methodology Choicesmentioning

confidence: 99%

Critical Systems Thinking on the Inefficiency in Post-Earthquake Relief: A Practice in Longmen Shan Fault Area

Dai

Rao

et al. 2016

Syst Pract Action Res

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The Longmen Shan Fault area is one of the most active seismic zones in the world, has a relatively dense population and a low economic development level. Therefore, the provision of effective post-earthquake relief is very important for saving lives and restricting financial losses. However, providing urgent relief is a complex problem that requires efficient coordination between the organizations, and departments involved, and the specific environments, for the supply of urgent materials, energy and information. In practice, although there are sufficient relief supplies, because of the lack of systemic thinking, relief activities are often chaotic leading to inefficiencies and even increases in the damage and loss of life. In this study, a critical systems thinking approach is used to reflect on the system contexts, boundaries, structures and functions of the emergency relief systems. Using systems modeling we constructed simulations for different relief plans and their consequences, and a work shop of metasynthetic engineering was constructed to integrate the different views, knowledge and contexts. At the practical stage, after the model's validity was verified from the 2008 Wenchuan earthquake data, based on the 2013 Lushan earthquake simulation results, some recommendations are made to improve future post-disaster relief operations. Finally, the significance of critical systems thinking is demonstrated to ensure effective and efficient of post-earthquake relief. Some limitations and future research also have been presented in conclusion.

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Section: Methodology Choicesmentioning

confidence: 99%

Critical Systems Thinking on the Inefficiency in Post-Earthquake Relief: A Practice in Longmen Shan Fault Area

Dai

Rao

et al. 2016

Syst Pract Action Res

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“…Uddin and Engi [49] demonstrated a prototype natural disaster management system for southwestern Indiana. However, they lack extensive data repositories for their applied tool to perform satisfactorily in a fully integrated disaster management system.…”

Section: Literature Reviewmentioning

confidence: 99%

iFAST: An Intelligent Fire-Threat Assessment and Size-Up Technology for First Responders

Mohammadi¹

2021

Preprint

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Currently, emergency response agencies use simplified “one-size-fits-all” procedures to decide what quantity and type of resources to dispatch to each fire threat. These procedures are based on principles established decades ago, and are generally static in nature. They then rely on the judgment of the experienced officer who has arrived on-scene to make a dynamic evaluation and request additional units if appropriate. In this thesis, we propose a fuzzy expert system to enhance the assessment procedures.

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“…We reviewed abstracts of papers published in and after 2000 in the journals Natural Hazards Review and Earthquake Spectra and identified articles that presented the experience and concerns of end-users. These studies investigate end-users via interviews and participatory studies, or by presenting frameworks for tools and usability testing [60][61][62][63][64][65][66][67][68][69][70][71][72][73][74][75].…”

Section: Research Articles: Emergency Management Andmentioning

confidence: 99%

Toward Human-Centered Simulation Modeling for Critical Infrastructure Disaster Recovery Planning

Ganji

Miles

2018

2018 IEEE Global Humanitarian Technology Conference (GHTC)

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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, humancentered 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 decisionmakers.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. Keywords-resilience and recovery planning, critical infrastructure recovery, simulation modeling, human-centered designI.

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Disaster Management System for Southwestern Indiana

Cited by 23 publications

References 0 publications

Critical Systems Thinking on the Inefficiency in Post-Earthquake Relief: A Practice in Longmen Shan Fault Area

Critical Systems Thinking on the Inefficiency in Post-Earthquake Relief: A Practice in Longmen Shan Fault Area

iFAST: An Intelligent Fire-Threat Assessment and Size-Up Technology for First Responders

Toward Human-Centered Simulation Modeling for Critical Infrastructure Disaster Recovery Planning

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