Table 2

Logistic regression analysis of motorcycle drivers among migrant workers and the control group in Guangzhou from 2017 to 2021

VariableMigrant workerControl group
NP valueORNP valueOR
RegionCentral urban281Baseline133Baseline
Outer urban53500.0081.5659420.0771.567
Highway200.0637.39960.0710.203
GendenMale4871Baseline922Baseline
Female780<0.00011.9721590.056/
Determination of responsibilityFull/Primary2794Baseline560Baseline
Equal1089<0.00011.6771990.0012.199
Secondary or none1728<0.00012.165309<0.00013.227
Unknown400.5941.255130.9921.007
TimeDay2780Baseline484Baseline
Nightfall or dawn1340.0521.692140.5711.508
Night-time2737<0.00011.4665830.0021.772
Age group20–392356Baseline486Baseline
40–5923300.0141.2343250.2861.238
60683<0.00013.696116<0.00015.555
0–192820.6071.0951540.0201.830
Crash objectMotorcyclist or electric cyclist1410Baseline263Baseline
Pedestrian421<0.00010.275107<0.00010.314
Pedal cyclist153<0.00010.358430.0020.313
Four-wheeled vehicle occupant3568<0.00016.826646<0.00014.757
Others of unknown99<0.00019.800220.0354.074
Illegal behaviourNone376Baseline71Baseline
Driving without a licence only2042<0.00011.9903970.5481.286
Driving without a licence and drunk driving7250.0021.9581650.9830.990
Drunk driving only330<0.00012.556860.1312.199
Other unsafe driver behaviour5040.2511.268870.9641.022
Not using motor vehicle licence plate3610.0081.820450.0633.362
Driving in the opposite direction223<0.00013.041390.2721.914
Not following traffic signals222<0.00015.154460.0058.248
Not following rules to yield pedestrians or vehicles that have priority2150.0062.104310.5931.430
Dangerous driving behaviour1850.0571.701330.3101.987
Driving modified, assembled or scrapped vehicles1590.0641.698230.4731.677
Illegal lane changes, overtaking, reversing, meeting cars, parking or using lights1740.0221.964280.2312.536
Not following traffic signs820.0232.720180.0785.456
Speeding530.0402.269120.0476.831
Total56511081
  • N, number; OR, odd ratio.