|
Andreas Lotter, Konrad Barth, Brauner Florian, Florian Steyer, Ompe Aime Mudimu, & Alex Lechleuthner. (2016). Measurement of information flows in rescue exercises in the aftermath of the collapse of a building. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Collapsed buildings are one of the most complex challenges for rescue forces. The large amount of incoming information in particular is a major challenge to handle for the involved forces. The Assessment of this information is necessary in order to be able to give reliable statements about the number of buried and missing victims. To improve the handling of the information, the authors have developed a method to measure information flow during rescue exercises after the collapse of a building. This method has been developed within VERVE, a research project subsidized by the German Federal Ministry of Education and Research (BMBF). The method has been evaluated and tested through two exercises.
|
|
|
Florian Brauner, Julia Maertens, Holger Bracker, Ompe Aimé Mudimu, & Alex Lechleuthner. (2015). Determination of the effectiveness of security measures for low probability but high consequence events: A comparison of multi-agent-simulation & process modelling by experts (L. Palen, M. Buscher, T. Comes, & A. Hughes, Eds.). Kristiansand, Norway: University of Agder (UiA).
Abstract: Due to the increasing danger of terrorist attacks, it is necessary to determine the preventive effects of security measures installed in e.g. public transportation systems. Since, there is no common practice to determine the preventive effects; we developed two different methodologies to analyse those effects, both are suitable for the assessment of security measures. The first method is a semi-quantitative method based on expert-estimations combined with a modelled process of an attack.The second method models the scenarios using a multi-agent-based simulation framework. Simulating a large number of runs, it is possible to derive values for indicators of interest on statistical basis. We show the suitability of both methods by applying them on a practical example of a public transportation system. In this paper we introduce both methodologies, show an exemplary application and present the strengths and weaknesses and how they can be linked to get an increased benefit.
|
|
|
Florian Brauner, Thomas Münzberg, Marcus Wiens, Frank Fiedrich, Alex Lechleuthner, & Frank Schultmann. (2015). Critical Infrastructure Resilience: A Framework for Considering Micro and Macro Observation Levels. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: The resilience mechanisms of Critical Infrastructures (CIs) are often hard to understand due to system complexity. With rising research interest, models are developed to reduce this complexity. However, these models imply reductions and limitations. According to the level of observation, models either focus on effects in a CI system or on effects in a single CI. In cases of limited resources, such limitations exclude some considerations of crisis interventions, which could be identified in combining both observation levels. To overcome these restrictions, we propose a two-step framework which enables to analyze the vulnerability of a CI and as well in comparison to other CIs. This enhances the understanding of temporal crisis impacts on the overall performance of the supply, and the crisis preparations in each CI can be assessed. The framework is applied to the demonstrating example of the functionalities of hospitals that are potentially suffering from a power outage.
|
|