Abstract
Current researches of hazard perception based on the conventional self-report, video scene, driving simulator experiments, and road studies all have their shortcomings. Accident interrogation record data not only have the benefits of the conventional self-report method (inexpensive and detailed), but also overcome the deficiencies of the self-report (impact of social desirability) to a great degree. In this article, the collision data, especially the accident interrogation record data on freeways in the City of Chongqing, China, are used to analyze the contributing factors to hazard perception, based on logistic regression and Cochran–Mantel–Haenszel test. The logistic method is used to study the correlation among these factors on hazard perception. In addition, the Cochran–Mantel–Haenszel test method is applied to factors that are not statistically significantly identified in logistic regression analysis. The results show that factors such as age, years of driving experience, gender, month, vehicle type, road alignment, and road surface have effects on hazard perception. The study results can be used to improve the drivers’ hazard perception abilities on freeways and can also help the highway administrators to formulate the related policies and regulations.
Highlights
Drivers’ hazard perception is an ability to anticipate traffic situations, or to identify dangerous situations on roads, which has been regarded as an important aspect of explaining crashes or near-crashes
The results show that (1) the probability of transverse-hazard collisions decreases with vehicle speed, but the Odds ratio (OR) value is very close to 1 (OR = 0.936); (2) the probability of transverse-hazard collisions is higher on dry road than on wet road; (3)
The logistic regression is combined with the CMH test to analyze the collision data
Summary
Drivers’ hazard perception is an ability to anticipate traffic situations, or to identify dangerous situations on roads, which has been regarded as an important aspect of explaining crashes or near-crashes. Based on the data of driver license, accident appraisal report, and the interrogation record of traffic police, this article combines the logistic regression method with the Cochran–Mantel–Haenszel (CMH) test to identify the main contributing factors associated with drivers’ hazard perception abilities on freeways. We extracted 109 collision data on freeways in Chongqing, China in 2012 from three sources: driver licenses, accident appraisal reports, and the interrogation record of traffic police.
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