Investigating the Effect of Cell Phone Use on Gorgan City Drivers’ Performance by Using Factor Analysis
Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention),
Vol. 6 No. 4 (2018),
14 May 2019
,
Page 236 - 229
https://doi.org/10.22037/meipm.v6i4.26007
Abstract
Background and Objectives:Between in-vehicle tools, cell phone use while driving is known as distraction sources in the world. This issue is even more important because of the increased accidents and losses caused by driving it. The purpose of this study was to investigate driver behavior and determine the factors affecting the use of cell phone while driving.
Materials and Method: To achieve the goal, the theory of planned behavior was used. A questionnaire was designed based on this theory and collected in Gorgan city. The “factor analysis’ method was used to evaluate the factors affecting the use of cell phone while driving.
Result: Results showed that among the five important factors of driving behavior, perceived behavioral control, explained 25.32, had highest impact on cell phone use while driving. also, other factors like addicted to mobile phone and demographic characteristics were the second and third cause of mobile phone use while driving.
Conclusion: The results indicate that the driver is convinced that he is controlling his behavior and is able to react quickly and responsibly against unexpected events (such as the sudden braking of a car while using a cell phone), among all of variable, this variable is the most important that cause use of cell phone. Therefore, So, authorities should pay attention to the mentioned shortcomings and attempt to take a helpful strike for reforming them.
How to cite this article: Sedaghati Shokri B, Davoodi SR, Behnood HR. Investigating the Effect of Cell Phone Use on Gorgan City Drivers’ Performance by Using Factor Analysis.Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention). 2018; 6(4): 229-236.
- factor analysis, driving, theory of planned behavior, mobile phone use
How to Cite
References
World Health Organization. WHO | The world health report 2002 - Reducing Risks, Promoting Healthy Life. WHO. World Health Organization; 2013.
Statista. Number of mobile phone users worldwide from 2013 to 2019. 2015; Available from: http://www.statista.com/statistics/274774/forecast-of-mobile-phone-users-worldwide/
Gorucu S, Murphy D, Foster D, Hanagriff R, Ewing J. Technology Use Among Youth While Operating Farm Equipment. J Agromedicine. Taylor & Francis; 2018;23(4):305–14. [Scopus]
Nikolaev AG, Robbins MJ, Jacobson SH. Evaluating the impact of legislation prohibiting hand-held cell phone use while driving. Transp Res Part A Policy Pract. 2010;44(3):182–93.
Horberry T, Anderson J, Regan M a., Triggs TJ, Brown J. Driver distraction: The effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance. Accid Anal Prev. 2006;38(FEBRUARY 2006):185–91.
Kuss DJ, Kanjo E, Crook-rumsey M, Kibowski F, Wang GY, Sumich A. Problematic Mobile Phone Use and Addiction Across Generations : the Roles of Psychopathological Symptoms and Smartphone Use. Technol Behav Sci. Journal of Technology in Behavioral Science; 2018; [PubMed]
McPhee LC, Scialfa CT, Dennis WM, Ho G, Caird JK. Age Differences in Visual Search for Traffic Signs During a Simulated Conversation. Hum Factors J Hum Factors Ergon Soc [Internet]. 2004 Jan 1 [cited 2016 May 19];46(4):674–85. Available from: http://hfs.sagepub.com/content/46/4/674.short
McDonald CC, Kennedy E, Fleisher L, Zonfrillo MR. Factors Associated with Cell Phone Use While Driving: A Survey of Parents and Caregivers of Children Ages 4-10 Years. J Pediatr [Internet]. Elsevier Inc.; 2018;201:208–14. [Scopus]
Née M, Contrand B, Orriols L, Gil-jardiné C. Road safety and distraction, results from a responsibility case-control study among a sample of road users interviewed at the emergency room. Accid Anal Prev. Elsevier; 2019;122(September 2018):19–24. [PubMed]
Walsh SP, White KM, Hyde MK, Watson B. Dialling and driving: Factors influencing intentions to use a mobile phone while driving. Accid Anal Prev. 2008;40:1893–900.
Sullman MJM, Hill T, Stephens AN. Predicting intentions to text and call while driving using the theory of planned behaviour. Transp Res Part F Traffic Psychol Behav [Internet]. Elsevier Ltd; 2018;58:405–13. [Scopus]
Glendon AI, Clarke S, McKenna E. Human Safety and Risk Management, Second Edition [Internet]. CRC Press; 2016 [cited 2016 May 23]. 528 p. Available from: https://books.google.com/books?hl=en&lr=&id=u9O1bblQHFEC&pgis=1
Walsh SP, White KM, Watson BC, Hyde MK. Psychosocial factors influencing mobile phone use while driving [Internet]. Australian Transport Safety Bureau. 2007. Available from: http://eprints.qut.edu.au/11305
Isa KAM, Masuri MG, Abd Aziz NA, Isa NNM, Hazali N, Tahir MPM, et al. Mobile Phone Usage Behaviour while Driving among Educated Young Adults in the Urban University. Procedia - Soc Behav Sci [Internet]. 2012;36(June 2011):414–20. Available from: http://dx.doi.org/10.1016/j.sbspro.2012.03.045
Ajzen I. Behavioral Interventions Based on the Theory of Planned Behavior. Organ Behav Hum Decis Process [Internet]. 2000;50(2):179–211. Available from: http://linkinghub.elsevier.com/retrieve/pii/074959789190020T
Ajzen I, Driver BL. Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. Leis Sci [Internet]. 1991 Jan [cited 2016 Jun 18];13(3):185–204. Available from: http://www.tandfonline.com/doi/abs/10.1080/01490409109513137
Ajzen I. Nature And Operation Of Attitudes. psychology. 2001;27–58.
Matthews R, Legg S, Charlton S. The effect of cell phone type on drivers subjective workload during concurrent driving and conversing. Accid Anal Prev [Internet]. 2003 Jul [cited 2016 May 16];35(4):451–7. Available from: http://www.sciencedirect.com/science/article/pii/S0001457502000234
Salvucci DD. Analysis of the individual factors affecting mobile phone use while driving in France: Socio-demographic characteristics, car and phone use in professional and private contexts. Int J Hum Comput Stud [Internet]. 2001;55:85–107. Available from: http://www.idealibrary.com/cgi-bin/links/toc/ijhc%5Cnhttp://www.idealibrary.com/links/doi/10.1006/ijhc.2001.0472/pdf%5Cn%3CGo to ISI%3E://000169861900004%5Cnhttp://linkinghub.elsevier.com/retrieve/pii/S1071581901904720
White DR, Hepworth DP, Zidar MS, White DR, Hepworth DP, Texting MSZ, et al. Texting and Driving : Is It Just Moral Panic ? Texting and Driving : Is It Just Moral Panic ? Deviant Behav. Routledge; 2018;00(00):1–11. [Scopus]
Zhou R, Wu C, Patrick Rau PL, Zhang W. Young driving learners’ intention to use a handheld or hands-free mobile phone when driving. Transp Res Part F Traffic Psychol Behav [Internet]. Elsevier Ltd; 2009;12(3):208–17. Available from: http://dx.doi.org/10.1016/j.trf.2008.11.003
Zhou R, Horrey WJ, Yu R. The effect of conformity tendency on pedestrians’ road-crossing intentions in China: An application of the theory of planned behavior. Accid Anal Prev. 2009;41:491–7.
Walsh SP, White KM. Me, my mobile and I: The role of self and prototypical identity influences in the prediction of mobile phone behavior. 2007;37:2405–34.
Walsh SP, White KM, Cox S, Young RM. Keeping in constant touch: The predictors of young Australians’ mobile phone involvement. Comput Human Behav. 2011;27(1):333–42.
Ajzen I, Driver BL. Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. http://dx.doi.org/101080/01490409109513137. Taylor & Francis Group ; 2009;
Gras ME, Cunill M, Sullman MJM, Planes M, Aymerich M, Font-Mayolas S. Mobile phone use while driving in a sample of Spanish university workers. Accid Anal Prev. Elsevier; 2007;39(2):347–55.
Pennay D. Community Attitudes to Road Safety: Community Attitudes Survey Wave 18, 2006. Canberra Aust Transp Saf Bur. 2006;(April).
Brusque C, Alauzet A. Analysis of the individual factors affecting mobile phone use while driving in France: Socio-demographic characteristics, car and phone use in professional and private contexts. Accid Anal Prev. 2008;40:35–44.
Walsh SP, White KM, Young RM. Over-connected? A qualitative exploration of the relationship between Australian youth and their mobile phones. Corp Gov [Internet]. 2007;15:585–608. Available from: http://www.sciencedirect.com/science/article/pii/S0883902608000475
Walsh SP, White KM, Young RM. Needing to connect: The effect of self and others on young people’s involvement with their mobile phones. Wiley Blackwell. The Australian Psychological Society Ltd ; 2010;
- Abstract Viewed: 442 times
- PDF (فارسی) Downloaded: 165 times