Research Article
Investigation of Contributing Factors to Traffic Crashes and Violations: A Random Parameter Multinomial Logit Approach
Table 2
Descriptive statistics of possible variables influencing the traffic violations by seriousness.
| Variable description (number of observations = 34019) | Total | Unintentional violations | Minor violations | Serious violations | Crash with violation | N | % | N | % | N | % | N | % | N | % |
| Individual factors | Race/ethnicity | Asian driver | 2463 | 7.24 | 161 | 5.2 | 2104 | 7.98 | 142 | 3.81 | 56 | 6.69 | Hispanic driver | 8757 | 25.74 | 947 | 30.57 | 6145 | 23.31 | 1439 | 38.62 | 226 | 27 | African American driver | 10,675 | 31.38 | 1051 | 33.93 | 8383 | 31.8 | 1015 | 27.24 | 226 | 27 | Caucasian driver | 12,124 | 35.64 | 939 | 30.31 | 9726 | 36.9 | 1130 | 30.33 | 329 | 39.3 | Gender | Male driver | 22,383 | 65.80 | 2220 | 71.66 | 16,646 | 63.15 | 2956 | 79.33 | 561 | 67 | Female driver | 11,636 | 34.20 | 878 | 28.34 | 9712 | 36.85 | 770 | 20.67 | 276 | 33 | Residence of driver | Non-Maryland | 61 | 0.18 | 4 | 0.13 | 50 | 0.19 | 7 | 0.19 | 0 | 0 | Maryland | 33,958 | 99.82 | 3094 | 99.87 | 26,308 | 99.81 | 3719 | 99.81 | 837 | 100 | Commercial license | Commercial license | 781 | 2.30 | 84 | 2.71 | 560 | 2.12 | 112 | 3.01 | 25 | 2.99 | Noncommercial license | 33,238 | 97.70 | 3014 | 97.29 | 25,798 | 97.88 | 3614 | 96.99 | 812 | 97 |
| Temporal factors | Time of day | Morning peak (7–9 a.m.) | 2706 | 7.95 | 231 | 7.46 | 2306 | 8.75 | 98 | 2.63 | 71 | 8.48 | Off-peak (9 a.m.–4 p.m.) | 10,956 | 32.21 | 854 | 27.57 | 9672 | 36.69 | 225 | 6.04 | 205 | 24.5 | Afternoon peak (4–6 p.m.) | 2833 | 8.33 | 316 | 10.2 | 2276 | 8.63 | 146 | 3.92 | 95 | 11.4 | Evening (6–10 p.m.) | 4549 | 13.37 | 658 | 21.24 | 3332 | 12.64 | 392 | 10.52 | 167 | 20 | Nighttime (10 p.m.–7 a.m.) | 12,975 | 38.14 | 1039 | 33.54 | 8772 | 33.28 | 2865 | 76.89 | 299 | 35.7 | Season | Spring | 7346 | 24.11 | 661 | 21.34 | 5591 | 21.21 | 895 | 24.01 | 200 | 23.84 | Summer | 9049 | 25.66 | 764 | 24.67 | 7088 | 26.89 | 981 | 26.34 | 216 | 25.78 | Fall | 8675 | 23.88 | 847 | 27.33 | 6737 | 25.56 | 890 | 23.89 | 201 | 24.02 | Winter | 8949 | 26.35 | 826 | 26.66 | 6943 | 26.34 | 960 | 25.76 | 221 | 26.36 |
| Road factors | Work zone | Work zone | 12 | 0.04 | 0 | 0 | 11 | 0.04 | 1 | 0.03 | 0 | 0 | Nonwork zone | 34,007 | 99.96 | 3098 | 100 | 26,347 | 99.96 | 3725 | 99.97 | 837 | 100 |
| Socioeconomic factors | Commute mode | The percentage of driving to work of the driver’s residence area | 0.79 | 0.10 | 0.78 | 0.10 | 0.79 | 0.1 | 0.77 | 0.1 | 0.76 | 0.1 | The percentage of public transportation to work of residence area | 0.18 | 0.09 | 0.19 | 0.09 | 0.18 | 0.09 | 0.2 | 0.09 | 0.21 | 0.09 | The percentage of walking to work of residence area | 0.03 | 0.02 | 0.03 | 0.02 | 0.03 | 0.02 | 0.03 | 0.02 | 0.03 | 0.02 | Commute travel time | Mean travel time to work of the driver’s residence area | 34.31 | 2.45 | 34.16 | 2.05 | 34.31 | 2.53 | 34.43 | 2.21 | 34.25 | 2.19 | Income level | Median household income of the driver’s residence area (10,000 US dollars) | 9.62 | 2.91 | 9.45 | 2.85 | 9.75 | 3.02 | 9.08 | 2.22 | 9.25 | 2.48 |
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