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Critical road transport infrastructure

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dc.title Critical road transport infrastructure en
dc.contributor.author Blahová, Marta
dc.relation.ispartof Transport Means - Proceedings of the International Conference
dc.identifier.issn 1822-296X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2020
utb.relation.volume 2020-September
dc.citation.spage 889
dc.citation.epage 893
dc.event.title 24th International Scientific Conference on Transport Means 2020
dc.event.location online
dc.event.sdate 2020-09-30
dc.event.edate 2020-10-02
dc.type conferenceObject
dc.language.iso en
dc.publisher Kauno Technologijos Universitetas
dc.relation.uri https://transportmeans.ktu.edu/wp-content/uploads/sites/307/2018/02/Transport-means-A4-II-dalis.pdf
dc.subject diseases en
dc.subject EMS en
dc.subject equipment en
dc.subject vehicle en
dc.description.abstract The article is focused on critical road transport infrastructure. The aim is to propose a way of identifying critical infrastructure elements in road transport subsector. Disruption of transport critical infrastructure causing economic losses to natural or legal persons or the state. Critical infrastructure is defined as public infrastructure. Part of the article is devoted to a description of critical infrastructure, a description of road infrastructure, description of critical infrastructure elements. Definitely based on cross-cutting criteria. Any object must be assessed in relation to the territory. The content of the file is a measure designed to minimize outages and mitigate the consequences of situations. One of the chapters is involved in the process of identifying critical infrastructures, entities involved in the identification of critical infrastructure and road transport infrastructure. The final procedure is a procedure for identifying critical infrastructure elements capable of increasing critical infrastructure in the field of road transport. © 2020 Kaunas University of Technology. All rights reserved. cs
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010191
utb.identifier.obdid 43881673
utb.identifier.scopus 2-s2.0-85099786759
utb.source d-scopus
dc.date.accessioned 2021-02-08T08:14:26Z
dc.date.available 2021-02-08T08:14:26Z
dc.description.sponsorship Univerzita Tomáše Bati ve Zlíně: IGA / FAI / 2020/003
utb.contributor.internalauthor Blahová, Marta
utb.fulltext.affiliation M. Blahova Tomas Bata University, Faculty of Applied Informatics, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic, E-mail: m6_blahova@utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This research was based on the support of the Internal Grant Agency of Tomas Bata University in Zlín, the IGA/FAI/ 2020/003 project and the Institute of Safety Engineering, Faculty of Applied Informatics.
utb.scopus.affiliation Tomas Bata University, Faculty of Applied Informatics, Nad Stránemi 4511, Zlín, 760 05, Czech Republic
utb.fulltext.projects IGA/FAI/2020/003
utb.fulltext.faculty Faculty of Applied Informatics
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