J 2022

CHANGES IN TRANSPORT BEHAVIOUR OF THE CZECH POPULATION CAUSED BY STATE OF EMERGENCY

BARTUŠKA, Ladislav, Ondrej STOPKA, Jiří HANZL, Josef ŠEDIVÝ, Iwona RYBICKA et. al.

Základní údaje

Originální název

CHANGES IN TRANSPORT BEHAVIOUR OF THE CZECH POPULATION CAUSED BY STATE OF EMERGENCY

Autoři

BARTUŠKA, Ladislav (203 Česká republika, garant, domácí), Ondrej STOPKA (703 Slovensko, domácí), Jiří HANZL (203 Česká republika, domácí), Josef ŠEDIVÝ (203 Česká republika) a Iwona RYBICKA

Vydání

Transport problems, Katowice, Poland, The Silesian University of Technology, Faculty of Transport, 2022, 2300-861X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50703 Transport planning and social aspects of transport

Stát vydavatele

Polsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Kód RIV

RIV/75081431:_____/22:00002294

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

UT WoS

000831922600009

Klíčová slova anglicky

transport behaviour change; transport modal-split; urban mobility; sustainable transport

Štítky

Návaznosti

CK03000085, projekt VaV.
Změněno: 20. 3. 2023 17:09, Mgr. Nikola Petříková

Anotace

V originále

This article presents the results of an extensive questionnaire survey focused on changes in the transport behaviour of the population of the Czech Republic immediately after the government’s announcement about the measures implemented to prevent the spread of COVID-19. The questionnaire aimed to determine the changes in the use of the mode of transport for regular travel to work, school, or for shopping, as well as to determine the changes in the frequency of these travels according to monitored socio-demographic groups of inhabitants and specified size groups of settlements. This article contains a statistical evaluation of these changes in the transport behaviour of the population using sophisticated statistical tools. A method for estimating the number of passengers in public transport using a linear regression model based on the data from conducted transport behaviour survey is proposed . In this paper, the Data envelopment analysis (hereinafter referred to as DEA method) within the case study in the South Bohemian Region is also used to determine whether the COVID-19 measures have reduced the efficiency of public transport.

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