Using M-logistic regression to evaluate the effect of clothing color on pedestrian injury accidents

The aim of this study was to investigate the effect of clothing color on the rate of physical injuries inflicted on the pedestrian accident and suggest ways to avoid problems and complications from it. This study is the result of a study on pedestrian traffic accidents in 2007. Information was obtained from police database. M-logistic regressions (using SPSS) were used in this paper. More than 6,552 pedestrians that injured in traffic accidents in 2007 were studied. Of these, more than 75% of patients were men (4,948). Among those that we know educational info’s, more than 91% of them were low educated (less than Diploma); and three quarters of people were wearing bright clothes. Based on Multinomial logistic regression analysis, bright clothing can reduce the severe injuries, 42% lower than dark clothing. The probability of pedestrian death with light clothes relative to dark clothes is 82%. Pedestrians are in risk of severe injuries in accidents. As more than 78% in the worst affected areas, "Neck" or "chest and back" is reported. Given that most pedestrians injured in accidents had an education lower than high school, low knowledge about traffic rules can be one of the causes of such accidents. The best way to avoid pedestrian accidents is "defensive driving" that means being wary of people who walk. Pay particular attention to young children and older adults. These individuals may be less aware of drivers or traffic signals on the road.