Dynamic Impact Modeling as a Road Transport Crisis Management Support Tool

David Rehak, Michal Radimsky, Martin Hromada and Zdenek Dvorak
Additional contact information
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

Administrative Sciences, 2019, vol. 9, issue 2, 1-16

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.

Keywords: crisis management; critical infrastructure; road transport; failure; impacts; dynamic modeling (search for similar items in EconPapers)
JEL-codes: L M M0 M1 M10 M11 M12 M14 M15 M16 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2076-3387/9/2/29/pdf (application/pdf)
https://www.mdpi.com/2076-3387/9/2/29/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jadmsc:v:9:y:2019:i:2:p:29-:d:218069

Access Statistics for this article

Administrative Sciences is currently edited by Ms. Nancy Ma

More articles in Administrative Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().