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dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorČinčikaitė, Renata
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.date.accessioned2026-03-02T10:15:08Z
dc.date.available2026-03-02T10:15:08Z
dc.date.issued2023
dc.identifier.isbn9783031258626en_US
dc.identifier.issn2523-3440en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159987
dc.description.abstractChanges in passenger traffic and the choice of vehicle affect the country’s environment, economic and social situation, as well as the operating costs of the transport infrastructure. Rail transport is more environmentally friendly (the CO2 footprint of a train passenger per kilometre is about 14 g CO2), more economical than road transport (the CO2 footprint of a car passenger varies between 42 and 158 g/km, depending on the performance of the car and the number of passengers), but it is still inferior to it in terms of popularity (comparing them, in Lithuania only 10.41% cent (1st quarter of 2022) of passengers chose the railway, comparing the data of passenger traffic in 2019 with 2013, an increase of only about 13% is recorded). The aim of the article is to identify the dynamics of railway passenger traffic, the determining factors and make future forecasts. After carrying out a systematic and comparative analysis of the concepts published in the scientific literature, the factors determining the dynamics of railway passenger traffic have been identified. Forecasts for the year 2022 were made as a result of the empirical study. Secondary data analysis, statistical processing, correlation regression analysis, forecasting methods were used to achieve the aim.en_US
dc.format.extent539-547 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159378en_US
dc.source.urihttps://link.springer.com/chapter/10.1007/978-3-031-25863-3_51en_US
dc.subjectPassenger trafficen_US
dc.subjectRailwayen_US
dc.subjectForecasten_US
dc.subjectCorrelation regression analysisen_US
dc.titleStudy of the Dynamics of Railway Passenger Traffic, Identification of Trendsen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2023-02-22
dcterms.references17en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionGeneral Jonas Žemaitis Military Academy of Lithuaniaen_US
dcterms.sourcetitleProceedings of the International Conference TRANSBALTICA XIII: Transportation Science and Technology. September 15-16, 2022, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9783031258633en_US
dc.identifier.eissn2523-3459en_US
dc.publisher.nameSpringeren_US
dc.publisher.countrySwitzerlanden_US
dc.publisher.cityChamen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-031-25863-3_51en_US


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