Some determinants of possible injuries in crashes at signalized intersections.
BACKGROUND
This paper identifies some determinants of possible injuries from crashes that occur at signalized intersections using a conditional probability model.


METHODS
It uses longitudinal data for one city and calculates the marginal effects of these determinants.


RESULTS
Among its findings, an airbag deploying in a crash reduces the conditional probability of sustaining possible injury. The size of this decrease is similar for the front airbag or both side airbags deploying. When crashes occur because a driver suddenly falls ill, or because a driver has an existing medical condition that flares up, the results show that the conditional probability of sustaining possible injury increases by 0.1414 and 0.1217, respectively. In comparison the conditional probability of sustaining possible injury increases by 0.0706 when the crash is because of impairment from drugs or alcohol. Additionally, the probability of sustaining possible injury in the event of a crash is 0.0435 and 0.0459 higher in passenger cars and vans respectively than in other vehicles.


CONCLUSIONS
Comparing these results to those in the traffic safety literature, the marginal effects from national data are similar to those from local level data.
Obeng
K
K
Department of Economics and Transportation/Logistics, School of Business and Economics, North Carolina A&T State University, Greensboro NC 27411, USA. obengk@ncat.edu
D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D004779:Environment Design; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009657:North Carolina / Q000453:epidemiology; D011336:Probability; D011482:Protective Devices; D011640:Public Policy; D018570:Risk Assessment; D012309:Risk-Taking; D012737:Sex Factors; D012959:Socioeconomic Factors; D013997:Time Factors; D014947:Wounds and Injuries / Q000453:epidemiology* / Q000517:prevention & control