@article{(Open Science Index):https://publications.waset.org/pdf/9000,
	  title     = {The Relationship between Personality Characteristics and Driving Behavior},
	  author    = {Bahram Esmaeili and  Hamid Reza Imani Far and  Hossein Hosseini and  Mohammad Sharifi},
	  country	= {},
	  institution	= {},
	  abstract     = {The present study investigated the relationship
between personality characteristics of drivers and the number and
amount of fines they have in a year .This study was carried out on
120 male taxi drivers that worked at least seven hours in a day in
Lamerd - a city in the south of IRAN. Subjects were chosen
voluntarily among those available. Predictive variables were the NEO
–five great personality factors (1. conscientiousness 2. Openness to
Experience 3.Neuroticism4 .Extraversion 5.Agreeableness )
thecriterion variables were the number and amount of fines the
drivers have had the last three years. the result of regression analysis
showed that conscientiousness factor was able to negatively predict
the number and amount of financial fines the drivers had during the
last three years. The openness factor positively predicted the number
of fines they had in last 3 years and the amount of financial fines
during the last year. The extraversion factor both meaningfully and
positively could predict only the amount of financial fines they had
during the last year. Increasing age was associated with decreasing
driving offenses as well as financial loss.The findings can be useful
in recognizing the high-risk drivers and leading them to counseling
centers .They can also be used to inform the drivers about their
personality and it’s relation with their accident rate. Such criteria
would be of great importance in employing drivers in different places
such as companies, offices etc…},
	    journal   = {International Journal of Psychological and Behavioral Sciences},
	  volume    = {6},
	  number    = {7},
	  year      = {2012},
	  pages     = {1920 - 1922},
	  ee        = {https://publications.waset.org/pdf/9000},
	  url   	= {https://publications.waset.org/vol/67},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 67, 2012},
	}