Detailed Information on Publication Record
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.Basic information
Original name
CHANGES IN TRANSPORT BEHAVIOUR OF THE CZECH POPULATION CAUSED BY STATE OF EMERGENCY
Authors
BARTUŠKA, Ladislav (203 Czech Republic, guarantor, belonging to the institution), Ondrej STOPKA (703 Slovakia, belonging to the institution), Jiří HANZL (203 Czech Republic, belonging to the institution), Josef ŠEDIVÝ (203 Czech Republic) and Iwona RYBICKA
Edition
Transport problems, Katowice, Poland, The Silesian University of Technology, Faculty of Transport, 2022, 2300-861X
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50703 Transport planning and social aspects of transport
Country of publisher
Poland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/75081431:_____/22:00002294
Organization unit
Institute of Technology and Business in České Budějovice
UT WoS
000831922600009
Keywords in English
transport behaviour change; transport modal-split; urban mobility; sustainable transport
Links
CK03000085, research and development project.
Změněno: 20/3/2023 17:09, Mgr. Nikola Petříková
Abstract
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.