Bucsky (2020)
|
March 2020
|
Budapest, Hungary
|
Historical data from multiple sources
|
-
1.
The aggregated travel demand decreased nearly half.
-
2.
Because of COVID-19 measures, modal share of public transport decreased dramatically.
-
3.
Car and bicycle usages both have a great growth.
|
Eisenmann et al. (2021)
|
April 2020
|
Germany
|
Online travel survey
|
-
1.
Public transport was hit hardest.
-
2.
Private modes, especially the private car, became more important
-
3.
Heterogeneity exists between individual changes in transport mode usage.
|
Zhang et al. (2021)
|
April–May 2020
|
No specific area
|
A worldwide expert survey
|
-
1.
More shifts of activity participation from physical spaces to virtual spaces
-
2.
Significant modal shifts away from public transport usage
-
3.
In the long term, car dependence may increase.
|
Zhang and Fricker (2021)
|
January–May 2020
|
The United States
|
Historical non-moterized transportation modes data
|
-
1.
There was heterogeneity in the impacts of COVID-19 on daily non-motorized activities.
-
2.
The non-motorized activities decreased in densely populated cities.
-
3.
Walking and bicycle activities, by contrast, increased in less densely populated cities.
|
| Bracarense et al. (2021) |
April–May 2020 |
Brazilian cities |
A web-based survey |
-
1.
The behavior regarding essential activities in the pandemic depend on pre-pandemic travel patterns and socioeconomic factors.
-
2.
There are not many opportunities for public transport users to switch from routine to purchasing.
-
3.
Post-pandemic intention is statistically dependent on activities' characteristics.
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