Impact of Shared Bus on Campus Travel and Space Optimization Based on Activity Travel Behavior

Table 5

Analysis of influencing factors based on activity travel behavior analysis (weekdays).

		Scale heterogeneity is not considered			Considering scale heterogeneity
		Coef.	Sig.	S.E.	Coef.	Sig.	S.E.
Other leisure choices intercept		−19.08		3.92	−15.10		3.67
Personal attribute variable
GPA	∼20%	—	—	—	—	—	—
	20%∼50%	−1.17	—	0.94	−0.93	—	0.72
	50%∼80%	−17.17	—	921.15	−74	—	975.29
	80%∼100%	0.25	—	1.04	0.16	—	0.88
Living expenses (yuan)	∼1000	—	—	—	—	—	—
	1000∼1500	−16.08	—	975.29	−94.6	—	0.73
	1500∼2000	−13.43	—	975.29	−92.6	—	0.52
	2000∼	−12.82	—	975.29	−92.1	—	0.55
Is he or she the only child	No	—	—	—	—	—	—
	Yes	15.58	—	975.29	12.3	—	975.29
Travel-related variables
Remaining time budget		−11.63		2.77	−9.47		2.50
Time and distance (min)		0.49		0.14	0.38		0.97
Travel mode	Walk	—	—	—	—	—	—
	Bicycle	7.45		1.78	5.55		1.64
	Electric vehicle/school bus	−8.74	—	3090.52	−12.5	—	8200
	Sharing customized bus	9.45		2.07	7.22		1.91

: significant at 0.001 level, : significant at 0.01 level, and : significant at 0.05 level.