Evaluation of changes in corridor railway traffic in the Czech Republic during the pandemic year 2020
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F23%3A73619422" target="_blank" >RIV/61989592:15310/23:73619422 - isvavai.cz</a>
Result on the web
<a href="https://zenodo.org/records/8406475" target="_blank" >https://zenodo.org/records/8406475</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.33542/GC2023-1-03" target="_blank" >10.33542/GC2023-1-03</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation of changes in corridor railway traffic in the Czech Republic during the pandemic year 2020
Original language description
Railway traffic was significantly affected by the global Covid-19 pandemic in 2020. The article's main objective is to evaluate the changes in rail transport on rail corridors in the Czech Republic in 2020. The traffic from that year was compared with the values from previous years. The Czech Statistical Office provided the data base for general information about railway transport. This contains details of freight and passenger transport and the performance of that transport for the whole country, as reported by the Ministry of Transport. The presented evaluation of changes in rail traffic is based on traffic parameters obtained from the railway infrastructure administrator of the Railway Infrastructure Administration. The changes were evaluated from three hundred points located on the corridor railways. The first part of the article describes the evaluation of changes in each traffic parameter. In 2020 passenger traffic was characterised by a significant decrease in the total number of trains on most corridors. Cargo trains took up the railway traffic capacity released by the drop in demand for passenger trains, and the number of cargo trains increased as a result. Passenger trains were shortened due to the low demand for transport during the pandemic. This fact was reported in the parameter of average train length. The second part contains a comprehensive assessment based on clustering methods. The clustering enabled the detection of those sections of the rail corridors that had similar changes in rail traffic in all the monitored parameters in 2020.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Geographia Cassoviensis
ISSN
1337-6748
e-ISSN
2454-0005
Volume of the periodical
17
Issue of the periodical within the volume
1
Country of publishing house
SK - SLOVAKIA
Number of pages
15
Pages from-to
37-51
UT code for WoS article
001024157000001
EID of the result in the Scopus database
2-s2.0-85175858569