Investigating the Effect of Urban New Technologies on the Iranian Lorry Drivers’ Behavior

Most accidents are directly related to driving offenses, and drivers who commit more offenses prone accidents. Therefore, reducing can reduce In other words, the recognition of common among heavy vehicle (truck) effective factors in directing them consequently frequency severity It seems that there is a necessity for in-depth studies carry out research on this topic. The main objective study identify evaluate important affecting lorry committing traffic offenses. To achieve goals, required information was categorized into six categories: tonnage, not fastening seatbelt, speeding, technical defect, talking cell phone, lacking towing worksheet; these known as dependent variables. Also, its influencing factors—in group driver characteristics, vehicle, mileage—were obtained by using demographic questionnaire, Driving Behavior Questionnaire (DBQ), interviews with 420 over 60 days at Tehran Terminal. After correcting incomplete questionnaires, 351 drivers’ used statistical analysis. analysis data multivariate logistic regression model showed loading unloading five or times per month less likely overloading than 12 month. results also show distracted slip behavior unauthorized speed 85.4% violation. Finally, aggressive were lack worksheet