Examining the factors influencing microtransit users’ next ride decisions using Bayesian networks

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Table 6 Multinomial logit model results

Category of user’s next ride occurrence	2 to 7 days		\(\ge\) 7 days		Not utilize anymore
Variable	Coef	z-value	Coef	z-value	Coef	z-value
T_Kussbus	0.03	1.63	− 0.02	− 0.75	− 0.05*	− 1.76
T_diff	− 0.04**	− 2.48	0.01	0.34	0.06**	2.09
Walk_dist	0.29**	2.11	0.72***	4.43	0.72***	3.28
OD_pair
Habay–Luxembourg	− 0.33	− 0.67	− 2.28**	− 2.14	− 1.72**	− 2.06
Arlon–Kirchberg	0.10	0.36	− 1.32***	− 3.87	− 2.40***	− 5.05
Arlon–Luxembourg	0.01	0.04	− 0.95***	− 3.17	− 1.69***	− 4.73
within Luxembourg	0.71	1.59	− 19.12	− 0.01	0.41	0.36
Is_peak	− 0.42***	− 3.02	− 0.63***	− 3.21	0.004	− 0.02
Isfree_next_ride	0.04	0.19	− 0.25	− 0.93	− 1.91***	− 6.56
Subsidy	0.36*	1.94	0.63**	2.28	19.89	0.02
Is_morning	− 3.49***	− 17.19	− 2.68***	− 10.09	− 1.69***	− 4.89
Is_holiday	2.82***	17.16	2.40***	10.8	1.38***	4.04
Is_august	− 0.04	− 0.27	− 0.19	− 0.8	− 0.08	− 0.22
Is_first	0.56	1.61	1.69***	4.99	2.14***	5.96
Constant	− 1.94**	− 2.52	− 0.55	− 0.52	− 17.44	− 0.02
N			2783
DF			42
Log-Likelihood			− 1634.79
McFadden’s Pseudo R2			0.2893
Likelihood-ratio test (Prob > χ2)			< 0.0001

Remark The reference class is more within 1 day.
Statistical significance levels: *0.05 < p-value ≤ 0.1; ^**0.01 < p-value ≤ 0.05; ***p-value ≤ 0.01