Benaben, F., Fertier, A., Cerabona, T., Moradkhani, N., Lauras, M., & Montreuil, B. (2023). Decision Support in uncertain contexts: Physics of Decision and Virtual Reality. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 54–66). Omaha, USA: University of Nebraska at Omaha.
Abstract: Virtual Reality (VR) is often used for its ability to mimic reality. However, VR can also be used for its ability to escape reality. In that case, on the one hand VR provides a visualization environment where the user’s senses are still in a familiar context (one can see if something is in front, behind, up, down, far or close), yet on the other hand, VR allows to escape the usual limits of reality by providing a way to turn abstract concepts into concrete and interactive objects. In this paper, the dynamic management of a complex industrial system (a supply chain) is enabled in a VR prototypical environment, through the management of a physical trajectory that can be deflected by the impact of any potentialities such as risks or opportunities, seen as physical objects in the performance space.
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Leorey Marquez, Pawan Gamage, Dhirendra Singh, Vincent Lemiale, Trevor Dess, Peter Ashton, et al. (2023). SEEKER: A Web-Based Simulation Tool for Planning Community Evacuations. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 8–24). Palmerston North, New Zealand: Massey Unversity.
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.
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Thomas J. Huggins, Wenbo Zhang, & Eva Yang. (2023). Evaluating Flood-Related Decision-Making and the Role of Information Technologies. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 45–55). Palmerston North, New Zealand: Massey Unversity.
Abstract: The proposed research consists of an innovative research design and piloting to compare traditional and contemporary approaches to loss-related decisions, concerning flooding risk in particular. By developing and implementing the integration of multiple methods, the proposed research aims to provide detailed and compelling evidence of how disaster-related decisions can be evaluated using an out-of-frame (capacity) and out-of-sample (occurrence) criterion, i.e. instead of taking a more reductive approach to real world problems. Together with other research being conducted around the world, the current initiative will address the contemporary scientific problem of whether traditionally axiomatic or ecological rationality should be used for evaluating disaster-related decisions. Where ecological rationality is found to be more effective, the same research will inform how ecologically rational approaches to flood risk can be improved through promoting particular areas of an information display or interface under particular conditions.
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Camelia Bellepeau, Hugo Bergere, Corentin Thevenet, Frédérick Bénaben, Nafe Moradkhani, & Thibaut Cerabona. (2022). Use of Physics of Decision to Assess how COVID-19 Impacted Air Pollution. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 887–894). Tarbes, France.
Abstract: This article focuses on the question of the impact of the COVID-19 crisis on air pollution. The chosen approach is based on the principle of “Physics of Decision” (POD), which considers: (i) the performance of a system as a physical trajectory within the framework of its performance indicators, (ii) risks or opportunities (potentialities) as forces that may deviate that trajectory, and (iii) benefits or damages (actualities) as concrete deviations of the performance trajectory. The daily data about the air pollution in Paris area (France) has been gathered for eight years (2014-2021) and three main performance indicators have been chosen. Then, the performance trajectory of each year has been plotted and the expected trajectories of 2020 and 2021 have been guessed from the previous ones. The deviation between the expected and actual trajectories of 2020 and 2021 have been assessed, and using physics and motion laws, evaluated as a deviation force.
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Tobias Andersson Granberg, Sara Erlander, David Fredman, Lovisa Olovsson, & Emma Persson. (2022). Predicting Volunteer Travel Time to Emergencies. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 44–54). Tarbes, France.
Abstract: A model is developed, which can predict the travel time for volunteers that are dispatched as first responders to emergencies. Specifically, the case of lay responders to out of hospital cardiac arrest is studied. Positions from historical responses is used to estimate the real response times, which are used to train and evaluate the new travel time model. The new model considers the road network and the transport mode most likely used by the volunteers. The results for the new model are compared to a model used in an existing volunteer initiative. They show that the new model can make better predictions in 59.7% of the cases. This can be used directly as a base for improving the travel time estimates in existing volunteer initiatives, and to improve the input data to the continuously evolving volunteer resource management systems.
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