Using Clustering Methods in Multinomial Logit Model for Departure Time Choice

Table 3

MNL model for K-means clustering method.

	Start and end time of the clusters
	2.00–6.17	6.25–7.25	7.28–8.30	8.33–9.50	9.52–10.75	10.83–12.75
FAMILY_M					−0.15971
					(−2.80)
GENDER	0.37355
	(2.90)
JOB_G1		−1.80974		−0.53302		−0.53302
		(−10.51)		(−5.23)		(−5.23)
JOB_G2	−0.78562	−1.80426		−0.24251
	(−5.22)	(−9.70)		(−2.10)
JOB_G3	−0.58602	−2.89328				−0.58602
	(−4.02)	(−14.96)				(−4.02)
EDUCATED		0.28489
		(3.89)
CAR_OWN	−0.33386
	(−3.61)
SC_ MODE				−1.66956
				(−2.26)
PR_ MODE	−0.34566				−0.34566
	(−3.80)				(−3.80)
PU_ MODE			0.17971
			(2.66)
AC_ MODE	−0.56853					0.54963
	(−3.98)					(2.19)
AGE18P		0.35969				2.14911
		(2.12)				(8.43)
TRAVEL_T	1.55774				0.62063
	(12.58)				(2.97)
Constant		3.17750	0.86423	1.09339	0.07704	0.35886
		(14.04)	(5.22)	(6.20)	(0.25)	(1.60)