Natural disasters can have a devastating effect on critical infrastructures, especially in case of cascading effects among multiple infrastructures such as the electric power grid, the communication network, and the road network. While there exist detailed models for individual types of infrastructures such as electric power grids, these do not encompass the various interconnections and interdependencies to other networks. Cascading effects are hard to discover and often the root causes of problems remain unclear. In order to enable real-time situational awareness for operational risk management one needs to be aware of the broader context of events. In this paper, we present a unique visual analytics control room system that integrates the separate visualizations of the different network infrastructures with social media analysis and mobile in-situ analysis to help to monitor the critical infrastructures, detecting cascading effects, performing root cause analyses, and managing the crisis response. Both the social media analysis and the mobile in-situ analysis are important components for an effective understanding of the crisis and an efficient crisis response. Our system provides a mechanism for conjoining the available information of different infrastructures and social media as well as mobile in-situ analysis in order to provide unified views and analytical tools for monitoring, planning, and decision support. A realistic use case scenario based on real critical infrastructures as well as our qualitative study with crisis managers shows the potential of our approach. ; published


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    Titel :

    An Integrated In-Situ Approach to Impacts from Natural Disasters on Critical Infrastructures


    Beteiligte:
    Mittelstädt, Sebastian (Autor:in) / Wang, Xiaoyu (Autor:in) / Eaglin, Todd (Autor:in) / Thom, Dennis (Autor:in) / Keim, Daniel A. (Autor:in) / Tolone, William (Autor:in) / Ribarsky, William (Autor:in)

    Erscheinungsdatum :

    2015-01-01


    Anmerkungen:

    2015 48th Hawaii International Conference on System Sciences (HICSS 2015) : Kauai, Hawaii, USA, 5 - 8 January 2015; Vol. 2 / Bui, Tung X. et al. (Hrsg.). - Piscataway, NJ : IEEE, 2015. - S. 1118-1127. - ISSN 1530-1605. - ISBN 978-1-4799-7367-5



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Schlagwörter :

    Klassifikation :

    DDC:    004 / 629




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