2022
DOI: 10.1016/j.tranpol.2022.10.007
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Challenges for urban transport policy after the Covid-19 pandemic: Main findings from a survey in 20 European cities

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Cited by 35 publications
(11 citation statements)
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“…This was highlighted during the pandemic when interactions with people outside the household were limited. Driving, which is often associated with greater independence in mobility [ 43 ], also provided a safer travel option during the pandemic than public transport, which instilled fear due to the potential risk of virus exposure [ 44 ]. The benefits of having good lower extremity performance and driving a car were more apparent in life-space mobility, which measures actual mobility.…”
Section: Discussionmentioning
confidence: 99%
“…This was highlighted during the pandemic when interactions with people outside the household were limited. Driving, which is often associated with greater independence in mobility [ 43 ], also provided a safer travel option during the pandemic than public transport, which instilled fear due to the potential risk of virus exposure [ 44 ]. The benefits of having good lower extremity performance and driving a car were more apparent in life-space mobility, which measures actual mobility.…”
Section: Discussionmentioning
confidence: 99%
“…This switch toward comparatively more expensive and faster modes of transport (preference change) likely explains the detected increase in the expenditure-price elasticity (only in 2020). This result is nonetheless surprising, as the related literature points to people preferring traveling by private car over public transportation modes during COVID-19 (Christidis et al, 2022;Eisenmann et al, 2021). Most likely, this finding is driven by a selection mechanism: in the summer of 2020 those who continue traveling are mainly those for whom traveling is a ''priority'' good (Boto-Garcı´a & Ban˜os-Pino, 2023).…”
Section: Main Findingsmentioning
confidence: 99%
“…Since the focus of the survey was urban transport, the fieldwork was conducted in 20 urban areas within the EU, ensuring representative samples that cover a wide variety of city profiles. The published article linked to this dataset [1] describes the main findings and explore the kay factors that explain changes in mobility. The full dataset of the survey is made available for replication purposes and as a source of data for further research.…”
Section: Objectivesmentioning
confidence: 99%
“…The dataset is used in [1] and can be freely used for replication or further research. The supplementary material accompanying this article include: the English version of the full questionnaire used in the survey, as a text document (“Full questionnaire.docx”) the full dataset of responses to all questions, as a table with 10000 rows and 284 columns (“raw_data.csv”) The table of correspondence between questions, variables in dataset, and answer options (data dictionary as 2 Excel tables, “data_specifications.xlsx”) …”
Section: Data Descriptionmentioning
confidence: 99%