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
		EID Scopus
2-s2.0-85128302364
		Klíčová slova anglicky
transport behaviour change; transport modal-split; urban mobility; sustainable transport
		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.