2023
DOI: 10.1016/j.tra.2023.103679
|View full text |Cite
|
Sign up to set email alerts
|

How has COVID-19 changed private car use in European urban areas? An analysis of the effect of socio-economic characteristics and mobility habits

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 15 publications
(4 citation statements)
references
References 68 publications
0
2
0
Order By: Relevance
“…As the pandemic progressed, factors such as population density, mobility within and between regions, and social interactions likely facilitated the virus’s spread to urban and rural neighboring districts [ 15 ]. The observed patterns of infection in districts bordering Hungary, Czech Republic, and Poland could be influenced by cross-border travel and interactions, highlighting the importance of regional dynamics in the virus transmission [ 16 ]. Additionally, varying levels of adherence to preventive measures, such as closing preschools, primary and secondary schools, mask-wearing, social distancing, and testing availability, could have impacted infection rates across different areas and age groups.…”
Section: Discussionmentioning
confidence: 99%
“…As the pandemic progressed, factors such as population density, mobility within and between regions, and social interactions likely facilitated the virus’s spread to urban and rural neighboring districts [ 15 ]. The observed patterns of infection in districts bordering Hungary, Czech Republic, and Poland could be influenced by cross-border travel and interactions, highlighting the importance of regional dynamics in the virus transmission [ 16 ]. Additionally, varying levels of adherence to preventive measures, such as closing preschools, primary and secondary schools, mask-wearing, social distancing, and testing availability, could have impacted infection rates across different areas and age groups.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, from a socioeconomic perspective, studies have shown that the decline in mobility during the harshest phase of the COVID-19 lock-down was greater in areas with higher income levels [32], linked to a greater ease for telecommuting [33] despite the greater availability of private vehicles [34]. In fact, the biggest shift from UPT to private vehicles has been associated with low-income areas [35], except in those with the highest percentages of captive travelers, i.e., those who do not have alternative means of transportation. This was the case in some regions of India, where no decrease in the use of public transportation was observed during the pandemic [36].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Specifically, the COVID-19 pandemic introduced unique challenges and policy measures that significantly altered transportation dynamics. A study that focused on the pandemic's impact in European urban areas by Vega-Gonzalo et al [126] noted an increased dependence on cars. This increase was particularly evident among demographics that traditionally relied less on private vehicles.…”
Section: Government Policiesmentioning
confidence: 99%