Research Article

Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups

Table 2

Descriptive statistics of explanatory variables.

VariableAttributesCrossing behaviors (percentage)Total
NRLRWRLRIRLR

AgeYoung693 (43.0%)547 (33.9%)372 (23.1%)1612
Older1409 (54.9%)752 (29.3%)407 (15.8%)2568

GenderFemale419 (63.3%)175 (26.4%)68 (10.3%)662
Male1683 (47.8%)1124 (32.0%)711 (20.2%)3518

E-bike typeDelivery e-bike842 (42.0%)705 (35.1%)459 (22.9%)2006
Ordinary e-bike1260 (58.0%)600 (27.6%)314 (14.4%)2174

Traffic light statusThe early stage of the red light198 (22.3%)271 (30.5%)419 (47.2%)888
The middle stage of the red light1320 (55.0%)846 (35.2%)236 (9.8%)2402
The late stage of the red light584 (65.6%)188 (21.1%)118 (13.3%)890

Waiting positionReasonable position1718 (81.2%)353 (16.7%)45 (2.1%)2116
Unreasonable position384 (18.6%)952 (46.1%)728 (35.3%)2064
Traffic light typeFlashing signal1624 (49.5%)984 (30.0%)671 (20.5%)3279
Countdown signal478 (53.1%)315 (35.0%)108 (11.9%)901

Observation timeNoon920 (43.6%)705 (33.4%)485 (23.0%)2110
Afternoon1182 (57.1%)600 (29.0%)288 (13.9%)2070