Yannic Schulte, Miriam Klein, Marcus Wiens, & Frank Fiedrich. (2020). Spontaneous Volunteers Across National Borders: An Agent-Based Comparison. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 327–336). Blacksburg, VA (USA): Virginia Tech.
Abstract: In today's globalized world and with the extensive use of social media, there is a high connectivity of people across countries, which can be a helpful potential in disaster response. In a coordinated manner, spontaneous volunteers from neighbouring nations can provide high manpower and resources to a disaster affected area. In this article, we discuss why the consideration of spontaneous volunteers is relevant in a cross-border context in order to improve disaster resilience for borderlands. Furthermore, we introduce a baseline agent-based model to simulate cooperation procedures for the involvement of spontaneous volunteers to the official crisis response in a borderland and discuss important issues that need to be addressed in future considerations.
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Charles Bailly, & Carole Adam. (2017). An interactive simulation for testing communication strategies in bushfires. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 72–84). Albi, France: Iscram.
Abstract: Australia is frequently hit by bushfires. In 2009, the “Black Saturday” fires killed 173 people and burnt hectares of bush. As a result, a research commission was created to investigate, and concluded that several aspects could be improved, in particular better understanding of the population actual behaviour, and better communication with them. We argue that agent-based modelling and simulation is a great tool to test possible communication strategies, in order to deduce valuable insight for emergency managers before new fires happen. In this paper, we extend an existing agent-based model of the population behaviour in bushfires. Concretely, we added a communication model based in social sciences, and user interactivity with the model. We present the results of first experiments with dierent communication strategies, providing valuable insight for better communication with the population during such events. This model is still preliminary and will eventually be turned into a serious game.
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Xiaoyan Zhang, Graham Coates, & Xiaoyang Ni. (2017). Agent-based Modelling and Simulation for Lecture Theatre Emergency Evacuation. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 63–71). Albi, France: Iscram.
Abstract: This paper presents an overview of ongoing research into the implementation of an agent-based model aimed at providing decision support for the layout design of lecture theatres and human behavioural management in emergency evacuation. The model enables the spatial layout of lecture theatres to be configured and incorporates agent behaviours at the basic movement and individual level. In terms of individual behaviours, agents can be competitive, cooperative, climb obstacles (e.g. seating and desks) and fall down. Two cases are investigated to evaluate the effects of different exit locations in lecture theatres and competitive behaviour of agents on evacuation efficiency in multiple scenarios.
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Martin Hilljegerdes, & Ellen-Wien Augustijn-Beckers. (2019). Evaluating the effects of consecutive hurricane hits on evacuation patterns in Dominica. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: The Caribbean island of Dominica is at constant risk of being hit by tropical storms during the hurricane season.
Therefore, Dominica and areas in similar situations need to raise their resilience to natural hazards. The potential
consequences of climate change intensify this risk. After a hurricane hit, repair of damage to buildings and
infrastructure can take several months. As hurricane frequency is increasing and time between hurricanes
fluctuates, modeling sequences of hurricane events can help to determine different evacuation strategies. This
paper introduces an agent-based model, simulating two hurricane events in one season. The prototype simulates
the movement of evacuees over a road network and damage to buildings and infrastructure. Initial results show
marked differences between road movements of evacuees during a second evacuation. Although shifts in the
average shelter occupation are small (up to 2%) for our case study, this can indicate that adjustments to shelter
capacities are necessary.
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Carole Adam, & Eric Andonoff. (2019). Vigi Flood: a serious game for understanding the challenges of crisis communication. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Emergency managers receive communication training about the importance of being ?first, right and credible?,
which is not easy. For instance, in October 2018, the Aude department in the South-West of France was hit by
intense rain. Flash floods were hard to forecast and only the ?orange? level of vigilance could be raised initially, but
the population dismissed this very usual warning in that season. The ?red? level was then raised too late, leading
to high criticism. The main problem here is the loss of trust induced by too many ?false alarms?. In this paper
we propose a serious game called VigiFlood for raising awareness in the population about the difficulty of crisis
communication and their own responsibility for reacting to the alerts. The implemented game still has limited
functionality but already shows interesting results in helping the user to visualise and understand the trust dynamics
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