Research Article
Investigation of Contributing Factors to Traffic Crashes and Violations: A Random Parameter Multinomial Logit Approach
Table 5
Estimated elasticity values of the random parameter multinomial logit model for traffic violations by seriousness outcomes, in percent.
| Variable | Unintentional violations (%) | Minor violations (%) | Serious violations (%) | Crash with violations (%) |
| Gender | Female | −2.11 | 13.13 | −0.97 | −1.76 |
| Race/ethnicity | African American | 7.20 | 7.20 | 1.73 | 4.93 | Hispanic | −0.31 | 2.56 | −0.31 | −0.29 |
| Time period factors | Afternoon peak (4–6 p.m.) | −0.49 | 2.37 | −0.28 | −0.44 | Evening (6–10 p.m.) | −0.32 | 3.43 | 0.20 | 5.94 |
| Seasonal factors | Fall | 1.79 | −2.16 | −0.62 | −1.67 |
| Socioeconomic factors | Driving to work | 0.36 | 0.16 | 0.11 | 0.08 | Mean travel time to work | 0.09 | 0.09 | 0.02 | 0.07 | Median household income | −0.78 | −0.78 | −0.31 | −0.68 |
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