Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities

Table 5

Effects among exogenous and endogenous variables of commuters in the historic district.

Variable	Effect	Age	Occupation	Gender	Preschool children	Household annual income	Automobile	Household size	Number of trips	Commute trip number	Commute time
Number of trips	Overall effect	0.106	—	0.267	—	—	—	−0.168	—	—	—
	Direct effect	0.106	—	0.267	—	—	—	−0.168	—	—	—
	Indirect effect	0	—	0	—	—	—	0	—	—	—
Commute trip number	Overall effect	0.081	—	0.025^*	—	—	—	—	0.38^*	—	—
	Direct effect	0.041	—	−0.077^*	—	—	—	—	0.38^*	—	—
	Indirect effect	0.04	—	0.102^*	—	—	—	—	0	—	—
Commute time	Overall effect	—	—	—	4.43	—	−3.612	—	—	19.456^*	—
	Direct effect	—	—	—	4.208	—	−3.581	—	—	19.456^*	—
	Indirect effect	—	—	—	0.222	—	−0.031	—	—	0	—
Mode choice	Overall effect	—	0.102^*	−0.543^*	—	0.111	0.833^*	−0.14^*	—	—	−0.002
	Direct effect	—	0.098^*	−0.544^*	—	0.11	0.826^*	−0.141^*	—	—	−0.002
	Indirect effect	—	0.004^*	−0.001^*	—	0.001	0.007^*	−0.001^*	—	—	0
Trip chain	Overall effect	—	—	0.249^*	—	0.026	—	−0.114	—	—	—
	Direct effect	—	—	0.249^*	—	0.026	—	−0.114	—	—	—
	Indirect effect	—	—	0	—	0	—	0	—	—	—
Number of trip chains	Overall effect	—	—	0.134^*	—	—	—	−0.069	—	—	—
	Direct effect	—	—	0.134^*	—	—	—	−0.069	—	—	—
	Indirect effect	—	—	0	—	—	—	0	—	—	—
Duration of the commuting	Overall effect	—	—	−45.868^*	—	—	—	—	−49.15^*	—	—
	Direct effect	—	—	−32.755^*	—	—	—	—	−49.15^*	—	—
	Indirect effect	—	—	−13.113^*	—	—	—	—	0	—	—

Notes: ; , df = 23, /df = 2.205; GFI = 0.991; AGFI = 0.959; RMSEA = 0.038.
“—” indicates no significant influence; “*” indicates ; other values indicate .