Driving errors, driving violations and accident involvement
ABSTRACT Sumario: The present study was designed to explore the error-violation distinction further, using both a larger sample and an empirically-refined measuring instrument. In addition, we had the opportunity to asses the relative strengths of the relationship between road accident involvement, and the self-reported frequency of commission of driving violations and potentially dangerous driving errors
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ABSTRACT: Workers in the logistics industry suffer high rate of occupational accidents as reflected in considerable share of occupational fatalities and lost-time injuries. Workers should be integrated into the management plans so as to yield the benefits of high efficiency workforce. This paper discusses the current safety and health status of the logistics industry. Previous studies of the organizational psychology have been developed to test factors influencing the acceptance of information technology. Similarly, while safety climate has been studied in numerous industrial settings, few studies limited attention has been given to the logistics sector. In the background of limited previous studies focused for injuries and fatalities in the logistics sector, the current studies will try to extend the findings in relation to the application of Decomposed Theory of Planned Behavior (DTPB). This paper proposes the decomposed theory of planned behavior to explain the relationship between safety behavior and performance. This paper provides a framework that identifies the factors affect safety performance. The framework will be tested empirically using data collected from logistics companies in Malaysia.The 2011 International Conference on Industrial Engineering and Operations Management; 01/2011
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ABSTRACT: The majority of previous cross-country studies of human factors relevant to traffic safety have not operationalized and measured culture. Also studies in this vein have mostly been carried out in Europe and the United States. The aim of the study was to examine country cluster differences, based on the Culture's Consequences framework, in road traffic risk perception, attitudes towards traffic safety and driver behaviour in samples from Norway, Russia, India, Ghana, Tanzania, Uganda, Turkey and Iran. An additional aim was to examine cluster differences in road traffic culture as symbol use and to investigate whether this theoretical cultural framework predicts risk perception, attitudes towards traffic safety and driver behaviour in the country clusters. The sample consisted of a total of 2418 individuals who were obtained by convenience sampling in the different countries. The countries segmented into four Culture's Consequences clusters; Norway, Russia and India, Sub-Saharan Africa, and Near East countries. The findings showed that Norwegians reported overall safer attitudes towards traffic safety and driver behaviour than the remaining country clusters. Individuals in Africa reported the highest risk perception. The countries also differed substantially in road traffic culture as symbol use. Contrary to established cultural theory, prediction models revealed that cultural factors were stronger predictors of driver behaviour than of risk perception. Also, the social cognitive risk constructs (i.e. risk perception and attitudes) solely explained variance in driver behaviour in the Norwegian and Russia/India clusters. Previous empirical efforts, which aimed to demonstrate that culture is important for the risk perception criterion, may have focused on a criterion variable that is not strongly related to driver behaviour. Furthermore, countermeasures aimed to influence social cognition may have stronger applicability in countries with a more individualistic western cultural orientation.Accident Analysis & Prevention 10/2013; 62C:319-328. · 1.87 Impact Factor
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ABSTRACT: This study aims to conduct researches on the correlation between driver safety consciousness and several indices, and propose an objective evaluation criterion, which can covert immeasurable safety consciousness to measurable objective indices. A number of taxi drivers were selected as study subjects, and their safety consciousness was evaluated by using fuzzy comprehensive evaluation method. Combined with the number of accidents these drivers involve in a year, the correlation between driver safety consciousness and accident numbers was investigated. And combined with GPS surveillance data, the correlation between driver safety consciousness and the mean speed, speed dispersion, and max vehicle speed was analyzed. Then the identification model between max vehicle speed and driver safety consciousness level was established. The results show that driver safety consciousness level is correlated with accident numbers, and not correlated with the mean speed, correlated with vehicle speed dispersion, and highly correlated with max vehicle speed. According to fuzzy identification model, max vehicle speed obtained from statistics circle can be used to evaluate and categorize driver safety consciousness. Verification shows that the driver safety consciousness evaluation model, which based on the max vehicle speed, is effective. It can overcome the demerits of scale evaluation, effectively identify driver safety consciousness level, and provide guidance for driver safety education, management and training.Procedia - Social and Behavioral Sciences 07/2014; 138:11–21.