Research Article
Revealing the Impacts of the Pandemic on Travel Behavior by Examining Pre- and Post-COVID-19 Surveys
Table 5
The results of the ANOVA models for the post-COVID survey data.
| | Q4.1 mode | Q4.2.2 location | Q1.4 PT pass | Q1.1 user age | Q3.2 distance |
| Q1.1 user age | 0.01111 | | | | | Q2.2 number of acquaintances | | 0.04804 | | | | Q3.2 distance from friends | | 0.98246 | | | | Q4.3.2 with friends | 0.13503 | | | | | Q4.1 transport mode | | 0.96203 | | | | Q4.4.2 sport activity | | | | | 0.9038 | Q4.2.4 outdoor activity | | 0.67242 | | | | Q4.2.6 party at home | | | | | 0.2335 | Q4.2.7 accessible location | | 0.66449 | | | | Q4.2.9 organized event | | 0.29724 | | | | Q4.2.10 other reason | | 0.94316 | | | | Q6.1.1 destination search | | 0.10233 | | | | Q6.1.3 timetable search | 0.27089 | | | | |
|
|
Significance codes: 0.001< “ ,” 0.01< “ ,” 0.05< “ .” |