Revealing the Impacts of the Pandemic on Travel Behavior by Examining Pre- and Post-COVID-19 Surveys

Table 4

The results of the ANOVA models for the pre-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	0.18878
Q1.2 university role			0.1546866
Q1.5 household size				0.64605
Q1.6 driving license			0.2103949
Q2.1 number of friends		0.008574
Q3.2 distance from friends
Q2.3 inner circle social media			0.0022929
Q4.4.4 outdoor activity	0.06821	0.0096844	0.07926
Q4.4.8 other activity	0.02471	0.1828495
Q4.1 transport mode		6.328e − 07
Q4.3.1 with acquaintances				0.08098
Q4.3.2 with friends			0.0908418	0.03106
Q4.2.2 close to residence					0.0527
Q4.2.4 cheap location		0.002255
Q4.2.5 good location			0.0030372
Q4.2.6 trendy location			0.0169235		0.1637
Q4.2.7 accessible location		0.491987	0.0297735
Q4.2.8 parking location				7.187e − 08
Q4.2.9 organized event		0.008453
Q4.2.10 other reason		0.276294	0.03957
Q6.1.1 destination search		0.005673
Q6.1.3 timetable search	0.09495
Q6.1.6 recommendations				0.05924

Significance codes: 0.001< “,” 0.01< “,” 0.05< “.”