ARTICLE INFO

Article Type

Descriptive & Survey Study

Authors

Abdi   R. (1)
Mardani   L.S. (*)






(*) Department of Psychology, Faculty of Educational Sciences and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran
(1) Department of Psychology, Faculty of Educational Sciences and Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran

Correspondence

Address: Azarbaijan Shahid Madani University, 35 Km Tabriz-Maragheh Road, Tabriz City, East Azarbaijan Province. Postal Code: 5375171379
Phone: +98 (41) 31452414
Fax: +98 (41) 34327534
l.mardani@azarunive.ac.ir

Article History

Received:   October  29, 2017
Accepted:   January 29, 2018
ePublished:   April 25, 2018

ABSTRACT

Aims The growing urban-machine life has increased traffic, which, in addition to reducing the speed of displacement, imposes significant financial losses on societies. The purpose of this study was to investigate the contribution of each abnormal personality dimension to predicting driving behavior by mediating emotional regulation.
Materials & Methods This descriptive-correlation study was carried out in all public and private vehicle drivers of Tabriz and Azarshahr, Iran, in 2015. 300 men driver were selected by sampling method. To collect data, Manchester Driving Behavior Questionnaire, emotional regulation and abnormal personality dimensions were used. Data were analyzed using structural equation modeling method using Lisrel 8.85 and SPSS.20 software.
Findings The evaluation of structural model using structural equation modeling method showed that all fitness indexes of this hypothesized model were in proper fitting range. The abnormal dimensions of personality as an exogenous variable were effective with coefficients of -0.45 (t=-5.81) and 0.56 (t=8.03), respectively. The emotional regulation also influenced driving behavior with a coefficient of -0.15 (t=-2.12).
Conclusion Driving behavior is influenced by personality and emotional characteristics, and emotional regulation is a good predictor of driving behavior.


CITATION LINKS

[1]Thonhofer E, Palau T, Kuhn A, Jakubek S, Kozek M. Macroscopic traffic model for large scale urban traffic network design. Simul Model Pract Th. 2018;49:32-49
[2]Peden M, Scurfield R, Sleet D, Mohan D, Hyder AA, Jarawan E, et al , editors. World report on road traffic injury prevention. Geneva: World Health Organization; 2004
[3]Bianchi A, Summala H. Moral judgment and drivers' behavior among Brazilian students. Psychol Rep. 2002;91(3):759-66
[4]Pakgohar AR, Khalili M, Safarzadeh M. Road traffic accident reduction via GLM, CRT, LR regression models. Danesh-e-Entezami. 2010;12(1):77-106. [Persian]
[5]Ansari Mohsen. The future of crashes and exits, the deputy director of traffic police of the Islamic Republic of Iran; 1389. Available from: www.compcivil.com. [Persian]
[6]Ayati I. Comprehensive traffic accident review of Mashhad: Creation of a computer database and information analysis based on the TRL-MAAP model [dissertation]. Mashhad: Ferdowsi University; 2009. [Persian]
[7]Yaghoobi H. The role of human factors in car accidents in Iran. Iran J Psychiatry Clin Psychol. 2000;6(1):52-60. [Persian]
[8]Moradi A, Younesian M, Gilasi HR. Risk factors for motorcyclist traffic accidents in Kashan. J Sch Public Health Inst Public Health Res. 2007;5(1):57-69. [Persian]
[9]Ismaeli AR. Behavioral patterns (hidden learning) and their impact on traffic behavior of drivers and pedestrians. In: TehranTM: Proceedings of the 2nd Regional Conference on Traffic Management; 2001 Oct 27-28; Tehran, Iran. p. 18 [Persian]
[10]Nikzad M. The first comprehensive book of traffic accidents in the country and its damages caused by it in 2005, causes and factors of its exit from it. Tehran: Islamic Republic of Iran Police Force; 2007. [Persian]
[11]Nordfjærn T, Jørgensen S, Rundmo T. Cultural and socio-demographic predictors of car accident involvement in Norway, Ghana, Tanzania and Uganda. Saf Sci. 2012;50(9):1862-72
[12]Lajunen T, Parker D, Summala H. The Manchester driver behaviour questionnaire: a cross-cultural study. Accid Anal Prev. 2004;36(2):231-8
[13]Amado S, Koyuncu M, Kaçaroğlu G. Evaluation of factors affecting safe driving: demografic factors, experience, personality and psycho-technical evaluation. Turk J Psychol. 2004;19(53):45-7
[14]Ulleberg P. Personality subtypes of young drivers. Relationship to risk-taking preferences, accident involvement, and response to a traffic safety campaign. Transp Res Part F: Traffic Psychol Behav. 2001;4(4):279-97
[15]Iversen H, Rundmo T. Personality, risky driving and accident involvement among Norwegian drivers. Personal Individ Differ. 2002;33(8):1251-63
[16]Arthur W, Graziano WG. The five‐factor model, conscientiousness, and driving accident involvement. J Personal. 1996;64(3):593-618
[17]Gross JJ, John OP. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Personal Soc Psychol. 2003;85(2):348-62
[18]Ghaemi SN, Ko JY, Goodwin FE. “Cade's disease” and beyond: misdiagnosis, antidepressant use, and a proposed definition for bipolar spectrum disorder. The Can J Psychiatry. 2002;47(2):125-34
[19]Belsky J, Steinberg L, Draper P. Childhood experience, interpersonal development, and reproductive strategy: an evolutionary theory of socialization. Child Dev. 1991;62(4):647-70
[20]Costa Jr PT, McCrae RR. Four ways five factors are basic. Personal Individ Differ. 1992;13(6):653-65
[21]Krueger RF, Markon KE. The role of the DSM-5 personality trait model in moving toward a quantitative and empirically based approach to classifying personality and psychopathology. Annu Rev Clin Psychol. 2014;10:477-501
[22]Krueger RF, Derringer J, Markon KE, Watson D, Skodol AE. Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychol Med. 2012;42(9):1879-90
[23]Thomas KM, Yalch MM, Krueger RF, Wright AG, Markon KE, Hopwood CJ. The convergent structure of DSM-5 personality trait facets and five-factor model trait domains. Assessment. 2013;20(3):308-11
[24]Bastiaens T, Claes L, Smits D, De Clercq B, De Fruyt F, Rossi G, et al. The construct validity of the dutch personality inventory for dsm-5 personality disorders (PID-5) in a clinical sample. Assessment. 2016;23(1):42-51
[25]Creswell KG, Bachrach RL, Wright AG, Pinto A, Ansell E. Predicting problematic alcohol use with the DSM–5 alternative model of personality pathology. Personal Disord: Theory, Res, Treat. 2016;7(1):103-11
[26]Abdi R, Nasiri A. The role of abnormal personality dimensions in predicting narcissistic personality traits. Thought Behav Clin Psychol. 2015;9(37):27-37. [Persian]
[27]Heidar Ali H. Structural equation modeling with Lisrel application. Tehran: Samt; 2008. [Persian]
[28]Oreyzi Samani SHR. Haghayegh SA. Psychometric properties of Manchester Driving Behavior Questionnaire. Payesh. 2010;9(1):21-8. [Persian]
[29]Abarashi A, Hosseini SY. Structural equation modeling. Tehran: Ravanshenasan; 2001. [Persian]
[30]Garrusi B, Garousi S, Anjom Shoae F. The relationship of attitude, personality and perceived source of control with different types of driving behaviors. J Health Dev. 2014;3(1):48-61. [Persian]
[31]Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40(3):879-91
[32]Bidokhti AA, Sharifi N. Mediating role of social capital in relation with religiosity and feeling of social security. Secur Soc Order Strateg Stud J. 2012;1(3):13-38. [Persian]
[33]Yaghoobi, H. A review of the role of human factors in driving accidents in Iran. Andisheh Beheshti J. 2000;6(1):60-7. [Persian]
[34]Grossi B, Ozdi V. The role of personality characteristics in high-risk rriving. J Res Railw. 2013;2(6):12-40. [Persian]
[35]Hagshenas H, Hosseini M, Jamshidi M, Azizi H. The relationship between personality characteristics and driving Behavior in Shiraz, Hakim publications. 2007;11(3):47-54. [Persian]
[36]Hopwood CJ, Thomas KM, Markon KE, Wright AG, Krueger RF. DSM-5 personality traits and DSM–IV personality disorders. J Abnorm Psychol. 2012;121(2):424-32.