Forecasting Passenger Flow Distribution on Holidays for Urban Rail Transit Based on Destination Choice Behavior Analysis

Table 5

Model estimation results.

Characteristic variable		Case1: the New Year’s Day				Case2: the National Day
		One-way ticket		Public transport card		One-way ticket		Public transport card
			t-value		t-value		t-value		t-value
Destination attraction ()		0.301	37.989	0.084	26.818	0.290	38.791	0.211	28.646
Land matching degree ()		0.311	3.641	0.424	6.802	0.257	2.367	0.532	8.481
Collinear variable ()		0.533	18.190	0.549	18.759	0.493	17.179	0.553	18.812
Scale variable ()		0.638	29.106	0.533	23.835	0.629	29.519	0.517	23.696
Travel time ()		−0.815	−18.286	−1.172	−25.162	−0.508	−11.884	−1.094	−23.556
Transfer time ()		−5.507	−18.324	−6.449	−20.833	−5.975	−20.316	−6.766	−21.519
Scenic variables ()		0.084	3.971	—	—	0.092	3.350	—	—
Model summary	Observations	17954		18314		17534		17747
		−32640.37		−33441.36		−31654.83		−32615.35
		−41340.61		−42169.54		−40373.53		−40863.98
	Adjusted	0.210		0.207		0.216		0.202