Table 1.
Demographic characteristics of the participants.
Table 2.
The first subscale of the risk perception scale was used to measure risk perception related to the experience of traveling in a PT vehicle.
Table 3.
The second subscale of risk perception.
Table 4.
Statements included in the satisfaction with travel scale (STS).
Fig 1.
Distribution of risk perception evaluation over time, comparing responses of males (left) and females (right) to the question: ‘How much do you perceive the risk of being infected with COVID-19 while traveling with public transport?’.
Fig 2.
Distribution of risk perception evaluation for the two subscales.
The distribution of each single item follows the distribution of each subscale.
Table 5.
Mean and standard deviation of the three dimensions and of the global score of STS before COVID-19.
Table 6.
Mean and standard deviation of the three dimensions and of the global score of STS during COVID-19.
Table 7.
Mean and standard deviation of the three dimensions and of the global score of STS after COVID-19.
Table 8.
Effects of the variables time scenario, gender and age on risk perception (global and two subscales) and satisfaction with travel (global and three components).
Table 9.
Correlation matrix with Pearson’s correlations among risk-perception measures and STS activation dimension over time.
Table 10.
Pearson’s correlation matrix among risk-perception measures and STS pleasure dimension over time.
Table 11.
Correlation matrix with Pearson’s correlations among risk-perception measures and STS satisfaction dimension over time.
Fig 3.
The conceptual model proposed to account for the relationship between global STS before the pandemic and global STS after the pandemic with the mediation effect of risk perception during the pandemic.
Data values are unstandardized β regression coefficients, with standard errors shown in parentheses. p < .05*, p< .01* *, p< .001*** (two-tailed test).