Melanie Eckle, Benjamin Herfort, Yingwei Yan, Chiao-Ling Kuo, & Alexander Zipf. (2017). Towards using Volunteered Geographic Information to monitor post-disaster recovery in tourist destinations. 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. 1008–1019). Albi, France: Iscram.
Abstract: The aftereffects of disaster events are significant in tourist destinations where they do not only lead to destruction and casualties, but also long-lasting economic harms. The public perception causes tourists to refrain from visiting these areas and recovery of the tourist industry, a major economic sector, to become challenging. To improve this situation, current information about the tourist and infrastructure recovery is crucial for a “rebranding”- information that is however time and cost-intensive in acquisition using traditional information sources. An alternative data source that has shown great potential for information gathering in other disaster management phases, which was less considered for disaster recovery purposes, is Volunteered Geographic Information (VGI). Therefore, this paper introduces a VGI-based methodology to address this task. Initial analyses conducted with Flickr data indicate a potential of VGI for recovery monitoring, whereas the analysis of OpenStreetMap data shows, that this form of VGI requires further quality assurance.
|
|
Audrey Fertier, Aurélie Montarnal, Sébastien Truptil, Anne-Marie Barthe-Delanoë, & Frédérick Bénaben. (2017). A situation model to support collaboration and decision-making inside crisis cells, in real time. 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. 1020–1028). Albi, France: Iscram.
Abstract: Natural and man-made hazards have many unexpected consequences that concern as many heterogeneous services. The GéNéPi project offers to support officials in addressing those events: its purpose is to support the collaboration in the field and the decision-making in the crisis cells. To succeed, the GéNéPi system needs to be aware of the ongoing crisis developments. For now, its best chance is to benefit from the ever growing number of available data sources. One of its goals is, therefore, to learn how to manage numerous, heterogeneous, more or less reliable data, in order to interpret them, in time, for the officials. The result consists on a situation model in the shape of a common operational picture. This paper describes every stage of modelling from the raw data selection, to the use of the situation model itself.
|
|
Loïc Bidoux, Jean-Paul Pignon, & Frédérick Bénaben. (2017). On the use of automated planning for crisis management. 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. 996–1007). Albi, France: Iscram.
Abstract: Automated planning is a domain of Artificial Intelligence which aims to study the deliberation process used to choose and organize actions by anticipating their expected outcomes. In this paper, we discuss the use of automated planning techniques in crisis management contexts. To begin with, the crisis management planning problem is formalized in light of the conceptual model for automated planning. In addition, we describe the conceptual scheme of an information system generating action plans in order to support decision-makers in crisis management. Finally, a proof of concept implementation of the aforementioned system is presented.
|
|
Elina Ramsell, Sofie Pilemalm, & Tobias Andersson Granberg. (2017). Using Volunteers for Emergency Response in Rural Areas – Network Collaboration Factors and IT support in the Case of Enhanced Neighbors. 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. 985–995). Albi, France: Iscram.
Abstract: In public services, there is a trend to increasingly utilize collaborations with non-professional volunteers for certain tasks, one example being emergency response. In many of these collaborations, information technology (IT) is an essential tool, and inadequate IT support can have far-reaching consequences--including even the loss of lives. Since a volunteer is a different type of actor, and may have different technical requirements, compared to professionals, there is a need to explore how collaborations between professionals and volunteers can be successfully developed. This paper is based on a case study of the Enhanced Neighbor project, which uses volunteers as first responders in emergency response. The study highlights important factors to consider when involving volunteers, including how IT can foster the collaboration, and the volunteers' needs for IT support.
|
|
Michael Morin, Irène Abi-Zeid, Claude-Guy Quimper, & Oscar Nilo. (2017). Decision Support for Search and Rescue Response Planning. 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. 973–984). Albi, France: Iscram.
Abstract: Planning, controlling and coordinating search and rescue operations is complex and time is crucial for survivors who must be found quickly. The search planning phase is especially important when the location of the incident is unknown. We propose, implement, solve, and evaluate mathematical models for the multiple rectangular search area problem. The objective is to define optimal or near-optimal feasible search areas for the available search and rescue units that maximize the probability of success. We compare our new model to an existing model on problem instances of realistic size. Our results show that we are able to generate, in a reasonable time, near optimal operationally feasible plans for searches conducted in vast open spaces. In an operational context, this research can increase the chances of finding s urvivors. Ultimately, as our models get implemented in the Canadian Coast Guard search planning tool, this can translate into more lives being saved.
|
|