An Alternative Approach for Predicting the Accident Involvement Probability for Drivers in Peshawar City Pakistan
Abstract
Road traffic accidents are a primary global concern, considering its magnitude and gravity, and the subsequent negative impacts on the economy and general well-being of the public. Pakistan is no exception to this worldwide dilemma, with the highest incidence of road traffic accidents in recent years. Large cities like Peshawar are rapidly transforming into cities of congestion as they face severe road safety problems. Past Studies have revealed that of the many factors affecting road traffic accidents in Pakistan, the factor of driver is the deadliest, which is why this study aims to understand and model the effect of different driver characteristics on road traffic accidents in Peshawar city of Pakistan. The database for this study is constituted via survey questionnaire and based on the continuous nature of the dependent variable; multiple linear regression analysis is used in this study. The results show the best three models based on the R square and sum square error, are the models 8, 12 and 16, with R square values of 0.81, 0.91, 0.91 and SSE values of 0.460, 0.469 and 0.586, respectively. This study thus provides an alternative approach to estimate the probability of a driver’s involvement in road traffic accidents and eliminates the need for other costly and time consuming studies like psycho technical research.
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