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The article is published within the solution of the research project TAČR: CK03000085
“Implementation of city logistics into the process of sustainable urban mobility planning”.
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 is proposed for estimating the
number of passengers in public transport using a linear regression model based on the
data from conducted transport behaviour survey. 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.
