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The Impact Of COVID-19 On Future Public Transport Use In Scotland

Downey, Lucy; Fonzone, Achille; Fountas, Grigorios; Semple, Torran

Authors

Torran Semple



Abstract

This paper examines the determinants of changes in future public transport use in Scotland after the COVID-19 pandemic. An online questionnaire was distributed to 994 Scottish residents in order to identify travel habits, attitudes and preferences during the different phases of the COVID-19 outbreak and travel intentions after the pandemic. Quota constraints were enforced for age, gender and household income to ensure the sample was representative of the Scottish population. The respondents indicated that they anticipated they would make less use of buses and trains at the end of the pandemic. Over a third expect to use buses (36%) and trains (34%) less, whilst a quarter expect to drive their cars more. As part of the analysis, a random parameter bivariate probit model with heterogeneity in the means of random parameters was estimated to provide insights into the socio-demographic, behavioural and perceptual factors which might affect future public transport usage. The inclusion of random parameters allows for the potential effects of unobserved heterogeneity within the independent variables to be captured, whilst making allowances for heterogeneity in the means of the random parameters. The model estimation showed that several factors, including: pre-lockdown travel choices, perceived risk of COVID-19 infection, household size and region, significantly affected intended future use of public transport. In addition, several variables related to age, region, pre-lockdown travel choices and employment status resulted in random parameters. The current paper contributes to our understanding of the potential loss of demand for public transport and the consequences for future equitable and sustainable mobility. Our findings are highly relevant for transport policy when developing measures to strengthen the resilience of the public transport system during and after the pandemic.

Journal Article Type Article
Acceptance Date Jun 20, 2022
Online Publication Date Jun 28, 2022
Publication Date 2022-09
Deposit Date Jun 24, 2022
Publicly Available Date Jun 24, 2022
Print ISSN 0965-8564
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 163
Pages 338-352
DOI https://doi.org/10.1016/j.tra.2022.06.005
Keywords public transport; COVID-19; travel intentions; random parameters; bivariate probit
Public URL http://researchrepository.napier.ac.uk/Output/2881709

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