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dc.contributor.authorVavrek, Roman
dc.contributor.authorBečica, Jiří
dc.date.accessioned2020-12-15T12:38:04Z
dc.date.available2020-12-15T12:38:04Z
dc.date.issued2020
dc.identifier.citationMathematics. 2020, vol. 8, issue 10, art. no. 1765.cs
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10084/142491
dc.description.abstractThe manuscript applied multi-criteria analysis using several indicators to evaluate 18 transport companies established on the level of the Czech statutory towns during period of 2001-2016 that provided for a mass commuting system. Transport companies were chosen for evaluation in the towns being company establishers in the area of mass commuting systems. Based on the prepared analysis outcomes, we suppose that transport companies in big Czech cities and towns using combination of various transport means within the mass commuting system reached lower effectiveness. The Transport Company of the Czech capital city Prague only one operates subway, i.e., it works with specific requirements laid on assurance of this public transport type. Nevertheless, its inclusion in the analysis didn't affect total results, thus we are able to work with a complete group of transport companies in the Czech Republic when evaluating their economic effectiveness.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesMathematicscs
dc.relation.urihttp://doi.org/10.3390/math8101765cs
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjecttransport companiescs
dc.subjectMCDMcs
dc.subjectTOPSIS techniquecs
dc.subjectcoefficient of variancecs
dc.titleCapital city as a factor of multi-criteria decision analysis-application on transport companies in the Czech Republiccs
dc.typearticlecs
dc.identifier.doi10.3390/math8101765
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume8cs
dc.description.issue10cs
dc.description.firstpageart. no. 1765cs
dc.identifier.wos000585156800001


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.