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Author Leorey Marquez; Pawan Gamage; Dhirendra Singh; Vincent Lemiale; Trevor Dess; Peter Ashton; Luke Ryan
Title SEEKER: A Web-Based Simulation Tool for Planning Community Evacuations Type Conference Article
Year 2023 Publication Proceedings of the ISCRAM Asia Pacific Conference 2022 Abbreviated Journal Proc. ISCRAM AP 2022
Volume Issue Pages 8-24
Keywords Evacuation Modelling; Emergency Management; Decision Support Systems; Agent-Based Simulation
Abstract Bushfires cause widespread devastation in Australia, one of the most fire-prone countries on earth. Bushfire seasons are also becoming longer and outbreaks of severe bushfires are occurring more often. This creates the problem of having more people at risk in very diverse areas resulting in more difficult mass evacuations over time. The Barwon Otway region in Victoria’s Surf Coast Shire is one such area with evacuation challenges due to its limited routes in and out of coastal areas and its massive population surges during the tourist season and holiday periods. The increasing gravity of the bushfire threat to the region has brought about the Great Ocean Road Decision Support System (GOR-DSS) project, and the subsequent development of a disaster evacuation tool to support emergency management organisations assess evacuation and risk mitigation options. This paper describes the design and development of SEEKER (Simulations of Emergency Evacuations for Knowledge, Education and Response). The SEEKER tool adds another level of intelligence to the evacuation response by incorporating agent-based modelling and allows emergency management agencies to design and run evacuation scenarios and analyse the risk posed by the fire to the population and road network. Furthermore, SEEKER can be used to develop multiple evacuation scenarios to investigate and compare the effectiveness of each emergency evacuation plan. This paper also discusses the application of SEEKER in a case study, community engagement, and training.
Address CSIRO Data61; RMIT University; RMIT University; CSIRO Data61; DELWP; DELWP; Mount Alexander Shire Council
Corporate Author Thesis
Publisher Massey Unversity Place of Publication Palmerston North, New Zealand Editor Thomas J. Huggins, V.L.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-473-66845-7 Medium
Track Analytical Modelling and Simulation Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2476
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Author Michael K. Lindell
Title Evacuation modelling: Algorithms, assumptions, and data Type Conference Article
Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011
Volume Issue Pages
Keywords Algorithms; Decision making; Hurricanes; Information systems; Empirical data; Evacuation modelling; Hurricane evacuation; Information display; Local government; Training program; Uncertainty analysis
Abstract Survey researchers need to, Find out what assumptions evacuation modelers are making and collect empirical data to replace incorrect assumptions;, Obtain data on the costs of evacuation to households, businesses, and local government; and, Extend their analyses to address the logistics of evacuation and the process of re-entry. Evacuation modelers need to, Incorporate available empirical data on household evacuation behavior, and, Generate estimates of the uncertainties in their analyses. Cognitive scientists need to, Conduct experiments on hurricane tracking and evacuation decision making to better understand these processes, and, Develop training programs, information displays, and performance aids to assist local officials who have little or no previous experience in hurricane evacuation decision making.
Address Texas A and M University, Hazard Reduction and Recovery Center, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789724922478 Medium
Track Conference Keynote Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 707
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