Modeling the Frequency of Cyclists’ Red-Light Running Behavior Using Bayesian PG Model and PLN Model

Table 1

Descriptive statistics of explanatory variables.

Variable	Description	Min.	Max.	Mean	Std.	Frequency
Road geometric design
Roadway width	Width of crossing street (m)	25	42	32.5	6.38	456
Grade	1 (presence of upslope)	0	1	0.02	0.13	47 (10.3%)
	0 (horizontal)					409 (89.7%)
Median type on main street	1 (divided)	0	1	0.07	0.24	186 (40.8%)
	0 (undivided)					270 (59.2%)
Separation width	Width of separation (m)	0.5	2	0.93	1.86	456
Lane width	Motor lanes width (m)	3	3.75	3.25	4.49	456
Environmental condition
Pedestrian signal type	1 (countdown signal)	0	1	0.09	0.27	245 (53.7%)
	0 (flashing signal)					211 (46.3%)
Green ratio	Green time/cycle length	0.2	0.5	0.32	0.35	456
Period	1 (AM)	0	1	0.08	0.26	224 (49.1%)
	0 (PM)					232 (50.9%)
Traffic condition
Bicycle flow	Bicycle flow volume in 5 min	12	133	67.80	35.2	456
Conflict traffic volume	Conflict traffic volume in 5 min	20	323	114.6	42.5	456
Bicycle speed	Average speed of bicycles (km/h)	10.56	22.48	16.21	3.28	456
Vehicle speed	Average speed of vehicles (km/h)	22.35	51.66	32.13	4.28	456
E-bike rate	Proportion of e-bikes	0.12	0.66	0.54	3.21	456