Research Article
Modeling the Commuting Travel Activities within Historic Districts in Chinese Cities
Table 6
Direct and indirect effects between exogenous and endogenous variables of SEM for outside commuters.
| Variable | Effect | Age | Occupation | Gender | Preschool children | Household annual income | Automobile | Household size | Number of trip chains | Number of trips |
| Number of trips | Overall effect | — | 0.124 | — | — | — | — | — | — | — | Direct effect | — | 0.124 | — | — | — | — | — | — | — | Indirect effect | — | 0 | — | — | — | — | — | — | — |
| Commute trip number | Overall effect | — | 0.055 | — | — | — | 0.091 | — | — | — | Direct effect | — | 0.039 | — | — | — | 0.086 | — | — | — | Indirect effect | — | 0.016 | — | — | — | 0.005 | — | — | — |
| Commute time | Overall effect | — | — | — | — | −4.809 | — | — | 11.691* | 44.507* | Direct effect | — | — | — | — | −4.554 | — | — | 11.691* | 44.507* | Indirect effect | — | — | — | — | −0.255 | — | — | 0 | 0 |
| Mode choice | Overall effect | — | 0.121 | −0.504* | −0.429 | 0.215 | 0.878* | — | 0.55 | — | Direct effect | — | 0.121 | −0.504* | −0.429 | 0.215 | 0.878* | — | 0.55 | — | Indirect effect | — | 0 | 0 | 0 | 0 | 0 | — | 0 | — |
| Trip chain | Overall effect | — | 0.087 | 0.155 | — | — | — | — | — | — | Direct effect | — | 0.087 | 0.155 | — | — | — | — | — | — | Indirect effect | — | 0 | 0 | — | — | — | — | — | — |
| Number of trip chains | Overall effect | — | — | — | — | — | — | — | — | — | Direct effect | — | — | — | — | — | — | — | — | — | Indirect effect | — | — | — | — | — | — | — | — | — |
| Duration of the commuting | Overall effect | — | — | — | — | — | — | — | — | — | Direct effect | — | — | — | — | — | — | — | — | — | Indirect effect | — | — | — | — | — | — | — | — | — |
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Notes: ; , df = 26, /df = 1.227; GFI = 0.982; AGFI = 0.927; RMSEA = 0.03. “—” indicates no significant influence; “*” indicates ; other values indicate .
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