Can Monetary Incentive Regulate Boarding Passenger Distribution on the Metro Station Platform?

Table 6

Logistic regression: response variable .

	Response variable:	With interactions	Without interactions	Final model
Respondent characteristics	Explanatory variables:
	Discount	4.1484	4.4686	4.7913
	Gender	0.5585	0.5677	0.5359
	Gender  discount	−0.0212
	Age	3.4793	4.0841	3.7670
	Age  discount	1.2214
	Income	0.1494	−0.3412
	Income  discount	−0.9748
	Frequency	−1.2767	−0.5251
	Frequency  discount	1.5059
	Occupation
	Student	−1.0072	−0.7532	−0.7489
	Student  discount	0.5232
	Retired person	−0.7349	−1.4514	−1.1993
	Retired person  discount	−1.4285
	Nine-to-fiver	−0.0331	0.0979	−0.0405
	Nine-to-fiver  discount	0.2671
Trip characteristics	Weather	−0.0613	−0.1936
	Date	1.5326	1.5287	1.5352
	Time	1.0496	1.0414	0.9321
	Travel with companion	−0.2779	−0.2784	−0.3165
	Travel with luggage	−0.5547	−0.5520
	Travel fee	0.1499	−0.4232
	Travel fee  discount	−1.1381		−1.0240
	Travel purpose
	Work/school	−1.0552	−1.0661	−1.4188
	Home	−0.9868	−0.9997	−1.3910
	Entertainment	−1.1278	−1.1382	−1.4235
	N	2022	2022	2022
	R-squared	0.4246	0.4236	0.4229
	Adjusted R-squared	0.4174	0.4187	0.4192

. . .