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Table 9 Structural Model: Comparing road choice of private car and taxi predicting peak hours

From: Modeling the effect of days and road type on peak period travels using structural equation modeling and big data from radio frequency identification for private cars and taxis

Paths	Private cars- Default Model N = 819,965			Taxi – Defaults Model N = 10,228
Paths	Estimate	SE	Critical Ratio	Estimate	SE	Critical Ratio
Motorway→6 am–9 am	0.05^***	0.004	56.75	0.01^ns	0.060	0.70
Motorway→9 am-12 noon	0.07^***	0.003	81.18	0.04^***	0.052	6.41
Motorway→4 pm–7 pm	0.04^***	0.003	53.18	−0.07^***	0.051	−10.08
Primary→6 am–9 am	0.23^***	0.001	185.37	0.15^***	0.005	16.43
Primary→9 am-12 noon	0.27^***	0.001	236.78	0.31^***	0.005	36.35
Primary→4 pm–7 pm	0.29^***	0.001	311.79	0.18^***	0.005	19.71
Secondary→6 am–9 am	0.23^***	0.001	205.68	0.25^***	0.004	29.41
Secondary→9 am-12 noon	0.24^***	0.001	235.85	0.20^***	0.004	24.68
Secondary→4 pm–7 pm	0.28^***	0.001	326.02	0.27^***	0.004	32.56
Tertiary→6 am–9 am	0.31^***	0.001	258.92	0.49^***	0.003	62.85
Tertiary→9 am-12 noon	0.32^***	0.001	290.37	0.43^***	0.002	59.42
Tertiary→4 pm–7 pm	0.36^***	0.001	392.09	0.50^***	0.002	66.29
R²: 6 am–9 am = 48%				R²: 6 am–9 am = 50%
R²: 9 am-12 noon = 56%				R²: 9 am-12 noon = 57%
R²: 4 pm–7 pm = 69%				R²: 4 pm–7 pm = 53%
Model fit indices: CFI = 0.99, NFI = 0.99, GFI = 0.98,				CFI = 0.99, NFI = 0.99, GFI = 0.98,
AGFI = 0.95, RMSEA = 0.055				AGFI = 0.95, RMSEA = 0.055

^***p < 0.001, ns Not significant, SE Standard error, CFI Comparative fit index, NFI Normed fit index, GFI Goodness of fit index, AGFI Adjusted goodness of fit index, RMSEA Root mean square error of approximation

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