Emergency Maps Tool as a Collaborative Instrument for Decision Makers in a Command and Control Environment

  • Gerald SchimakEmail author
  • Denis Havlik
  • Peter Kutschera
  • Refiz Duro
  • Mert Gencturk
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 675)


Tools for decision making with in a proper collaboration environment are of utmost importance for crises managers as well as decision makers to get continuous and accurate information about the crises situation. One of the main tools in C2-SENSE project is called Emergency Maps Tool (EMT). It has been developed as part of a broader collaboration environment in the C2-SENSE Emergency Interoperability Framework. It is the C2_SENSE instrument for decision making. EMT allows decision makers to set and monitor activities, send and receive event related messages but also to include ad-hoc information from sensors or sensor networks (e.g. water monitoring sensors in case of flooding).


Command and Control Interoperability Crises- Disaster and emergency management Decision making Map tool Collaboration 



The research leading to this paper has been performed in the scope of C2-SENSE project. C2-SENSE has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement number 607729.


  1. 1.
    Mayer-Schönberger, V.: Emergency Communications: The Quest for Interoperability in the United States and Europe. KSG Faculty Research Working Papers Series RWP02-024; John F. Kennedy School of Government, Harvard University, March 2002.
  2. 2.
    Ansell, C., Boin, A., Keller, A.: Managing transboundary crises: identifying the building blocks of an effective response system: managing transboundary crises. J. Conting. Crisis Manag. 18(4), 195–207 (2010)CrossRefGoogle Scholar
  3. 3.
    Schimak, G., Kutschera, P., Duro, R., Kutschera, K.: EMERGENCY MAPS TOOL – facilitating collaboration and decision making during emergency & crises situations. In: Sauvage, S., Sánchez-Pérez, J.-M., Rizzoli, A. (eds.) Proceedings of the International Environmental Modelling and Software Society (iEMSs), 8th International Congress on Environmental Modelling and Software, Toulouse, France (2016).
  4. 4.
    Wattegama, C.: ICT for disaster management. United Nations Development Programme-AsiaPacific Development Information Programme (2007)Google Scholar
  5. 5.
    Duro, R., Schimak, G., Bojan Božić, B.: C2-SENSE: the emergency interoperability frame-work and knowledge management. In: Geospatial World Forum INSPIRE Conference, INSPIRE 2015, Lisbon, Portugal (2015).
  6. 6.
    Gençtürk, M., Arisi, R., Toscano, L., Kabak, Y., Di Ciano, M., Palmitessa, A.: Profiling ap-proach for the interoperability of Command & Control systems with sensing systems in emergency management. In: Proceedings of the 6th Workshop on Enterprise Interoperability, Nîmes, France (2015)Google Scholar
  7. 7.
    Gencturk, M., Duro, R., Kabak, Y., Božic, B., Kahveci, K., Yilmaz, B.: Interoperability profiles for disaster management and maritime surveillance. In: eChallenges e-2015 Conference, pp. 1–9. IEEE (2015)Google Scholar
  8. 8.
    United Nations and Office for the Coordination of Humanitarian Affairs (UNOCHA): Humanitarianism in the network age including world humanitarian data and trends, United Nations Publications (2013)Google Scholar
  9. 9.
    Richardson, L., Amundsen, M.: RESTful web APIs. O’Reilly Media, Sebastopol (2013). ISBN 978-1-449-35806-8. Accessed 29 Mar 2016Google Scholar
  10. 10.
    Apache Kafka: Open source high performance publish-subscribe messaging system (2016). Accessed 29 Mar 2016
  11. 11.
    OGC WMS: OGC Web Map Server. Standard interface offering map layers. Actual WMS standard version 1.3 is the same as ISO 19128 (2016). Accessed 29 Mar 2016
  12. 12.
    OGC WFS: Web Feature Server, standard for an interface offering map layers. This layers are delivered as vector data, usually available in a lot of formats (2016). Accessed 29 Mar 2016
  13. 13.
    GeoServer: The open source reference implementation of a lot of the OGC standards including WFS and WMS (2016). Accessed 29 Mar 2016
  14. 14.
    DeployR is an integration technology for deploying R analytics inside web, desktop, mobile, and dashboard applications as well as backend systems. Accessed 03 Apr 2016
  15. 15.
    R Foundation for Statistical Computing, R.C.: R: a language and environment for statistical computing, Vienna (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Gerald Schimak
    • 1
    Email author
  • Denis Havlik
    • 1
  • Peter Kutschera
    • 1
  • Refiz Duro
    • 1
  • Mert Gencturk
    • 2
  1. 1.AIT- Austrian Institute of TechnologyWienAustria
  2. 2.SRDC Software Research and Development and Consultancy Corp.AnkaraTurkey

Personalised recommendations