Assessment of Influencing Parameters with Regards to Taxi Zones and Bus Stations by Drivers

The driving behaviors within general society are based on human personalities, assessment of which is vital in understanding this issue. To determine and evaluate the parameters that affect the analysis of driver behavior when dealing with traffic signs, statistical methods and a sampling of the study population is required. Study of behavioral science is therefore an appropriate technique in this analysis. The Data Mining method has been used in this research, and CART was employed to model the variables that affect the ranking. This study investigated the behavior of Iranian driver 483 in order to determine the important parameters with regards to taxis or bus boards, to which end an enquiry-based method was used. Each driver has their own unique characteristics and properties, and conducts their own shows. Many parameters are involved in assessing human behavior, and in this study a number of different parameters have been examined. Men constitute the majority of drivers in the study, along with people aged 21 to 29 years and those educated to diploma or associate degree standard. Among the various parameters discussed, monthly income and employment of people in the panel discussion are important for the modeling based on CART. The important parameters of age and gender have a significant effect on drivers on the panel, which has been discussed in this report. Results of this study are based on parallel studies of human factors, environmental considerations and vehicle parameters, and have been investigated and analyzed.