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Dynamic Impact Modeling as a Road Transport Crisis Management Support Tool

Author

Listed:
  • David Rehak

    (Faculty of Safety Engineering, VSB—Technical University of Ostrava, 700 30 Ostrava, Czech Republic)

  • Michal Radimsky

    (Faculty of Civil Engineering, Brno University of Technology, 602 00 Brno, Czech Republic)

  • Martin Hromada

    (Faculty of Applied Informatics, Tomas Bata University in Zlín, 760 05 Zlín, Czech Republic)

  • Zdenek Dvorak

    (Faculty of Security Engineering, University of Žilina, 010 26 Žilina, Slovakia)

Abstract

Crisis management must provide data to allow for real-time decision-making. Accurate data is especially needed to minimize the risk of critical infrastructure failure. Research into the possible impacts of critical infrastructure failure is a part of developing a functional and secure infrastructure for each nation state. Road transport is one such sector that has a significant impact on its functions. When this fails, there may be a cascading spread of impacts on the energy, health, and other sectors. In this regard, this paper focuses on the dynamic modeling of the impacts of critical road infrastructure failures. It proposes a dynamic modeling system based on a stochastic approach. Its essence is the macroscopic model-based comparative analysis of a road with a critical element and detour roads. The outputs of this system are planning documents that determine the impacts of functional parameter degradation on detour roads—not only applicable in decision-making concerning the selection of the optimal detour road, but also as a support mechanism in minimising possible risks. In this article we aim to expand the extent of knowledge in the Crisis management and critical infrastructure protection in the road transport sector fields.

Suggested Citation

  • David Rehak & Michal Radimsky & Martin Hromada & Zdenek Dvorak, 2019. "Dynamic Impact Modeling as a Road Transport Crisis Management Support Tool," Administrative Sciences, MDPI, vol. 9(2), pages 1-16, March.
    • Handle: RePEc:gam:jadmsc:v:9:y:2019:i:2:p:29-:d:218069
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    References listed on IDEAS

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    1. Simak Ladislav & Ristvej Jozef, 2009. "The Present Status of Creating the Security System of the Slovak Republic after Entering the European Union," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 6(1), pages 1-22, April.
    2. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas & Novotny, Petr, 2018. "Cascading Impact Assessment in a Critical Infrastructure System," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 125-138.
    3. Kadri Farid & Birregah Babiga & Châtelet Eric, 2014. "The Impact of Natural Disasters on Critical Infrastructures: A Domino Effect-based Study," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 11(2), pages 217-241, June.
    4. Farid Kadri & B. Birregah & Eric Chatelet, 2014. "The Impact of Natural Disasters on Critical Infrastructures: A Domino Effect-based Study," Post-Print hal-02365385, HAL.
    5. Rehak, David & Markuci, Jiri & Hromada, Martin & Barcova, Karla, 2016. "Quantitative evaluation of the synergistic effects of failures in a critical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 14(C), pages 3-17.
    6. Trucco, P. & Cagno, E. & De Ambroggi, M., 2012. "Dynamic functional modelling of vulnerability and interoperability of Critical Infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 51-63.
    7. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    8. Lovecek Tomas & Ristvej Jozef & Simak Ladislav, 2010. "Critical Infrastructure Protection Systems Effectiveness Evaluation," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 7(1), pages 1-25, May.
    9. Alcaraz, Cristina & Zeadally, Sherali, 2015. "Critical infrastructure protection: Requirements and challenges for the 21st century," International Journal of Critical Infrastructure Protection, Elsevier, vol. 8(C), pages 53-66.
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    Cited by:

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    2. Kleprlík Jaroslav & Brázdová Markéta, 2024. "Design of Restrictive Conditions for Simultaneous Loading and Unloading of Goods with Different Temperature Regimes in Vehicle Routing Problem," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 15(1), pages 97-108.

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