Volume 3, Issue 2 (Winter 2018 -- 2018)
Health in Emergencies and Disasters Quarterly 2018, 3(2): 97-104 |
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Sedaghati Shokri B, Davoodi S R, Azimmohseni M, Khoshfar G. Drivers’ Addiction Toward Cell Phone Use While Driving. Health in Emergencies and Disasters Quarterly 2018; 3 (2) :97-104
URL: http://hdq.uswr.ac.ir/article-1-177-en.html
URL: http://hdq.uswr.ac.ir/article-1-177-en.html
1- Department of Civil Engineering, Faculty of Engineering, Golestan University, Gorgan, Iran.
2- Department of Civil Engineering, Faculty of Engineering, Golestan University, Gorgan, Iran. ,davoodi76ir@gmail.com
3- Department of Statistics, Faculty of Sciences, Golestan University, Gorgan, Iran.
4- Department of Social Sciences, Faculty of Humanities, Golestan University, Gorgan, Iran.
2- Department of Civil Engineering, Faculty of Engineering, Golestan University, Gorgan, Iran. ,
3- Department of Statistics, Faculty of Sciences, Golestan University, Gorgan, Iran.
4- Department of Social Sciences, Faculty of Humanities, Golestan University, Gorgan, Iran.
Abstract: (8876 Views)
Background: The use of a cell phone when driving has been recognized as a type of distraction worldwide. Addictive tendency to use technology, including cell phone use while driving may be a substantial problem for drivers and increasing risk of accidents. The aim of this study was to evaluate the effect of drivers’ addiction to use a cell phone while driving.
Materials and Methods: A sample of 400 drivers with ages 18-65 years old completed a questionnaire which was designed based on Theory of Planned Behavior (TPB). Hierarchical regression analysis was utilized to predict drivers’ addiction to use a cell phone while driving on demographic characteristics and TPB components.
Results: Drivers had mean age of 35.63(8.72) and were 77% male, and 23% female. Tests of validity and reliability were conducted for every variable. According to findings, the hierarchical regression analysis model showed that the TPB was able to predict 59% variance in addiction toward cell phone use and attitude emerging as the strongest predictor during this analysis. All components of TPB were more independent to age than gender.
Conclusion: The fundamental TPB components were directly associated with the addiction to use a cell phone when driving. The present study has identified that older drivers were considerably less probable to use a cell phone while driving. Also this study showed that males use a cell phone significantly more frequent. More practical road safety measures are required to rebuff and mitigate the effects of using cell phones while driving.
Materials and Methods: A sample of 400 drivers with ages 18-65 years old completed a questionnaire which was designed based on Theory of Planned Behavior (TPB). Hierarchical regression analysis was utilized to predict drivers’ addiction to use a cell phone while driving on demographic characteristics and TPB components.
Results: Drivers had mean age of 35.63(8.72) and were 77% male, and 23% female. Tests of validity and reliability were conducted for every variable. According to findings, the hierarchical regression analysis model showed that the TPB was able to predict 59% variance in addiction toward cell phone use and attitude emerging as the strongest predictor during this analysis. All components of TPB were more independent to age than gender.
Conclusion: The fundamental TPB components were directly associated with the addiction to use a cell phone when driving. The present study has identified that older drivers were considerably less probable to use a cell phone while driving. Also this study showed that males use a cell phone significantly more frequent. More practical road safety measures are required to rebuff and mitigate the effects of using cell phones while driving.
Type of Study: Research |
Subject:
General
Received: 2017/05/25 | Accepted: 2017/10/17 | Published: 2018/01/1
Received: 2017/05/25 | Accepted: 2017/10/17 | Published: 2018/01/1
References
1. Alm H, Nilsson L. The effects of a mobile telephone task on driver behaviour in a car following situation. Accident Analysis & Prevention. 1995; 27(5):707–15. doi: 10.1016/0001-4575(95)00026-v [DOI:10.1016/0001-4575(95)00026-V]
2. Consiglio W, Driscoll P, Witte M, Berg WP. Effect of cellular telephone conversations and other potential interference on reaction time in a braking response. Accident Analysis & Prevention. 2003; 35(4):495–500. doi: 10.1016/s0001-4575(02)00027-1 [DOI:10.1016/S0001-4575(02)00027-1]
3. Hancock PA, Lesch M, Simmons L. The distraction effects of phone use during a crucial driving maneuver. Accident Analysis & Prevention. 2003; 35(4):501–14. doi: 10.1016/s0001-4575(02)00028-3 [DOI:10.1016/S0001-4575(02)00028-3]
4. Davie R, Panting C, Charlton T. Mobile phone ownership and usage among pre-adolescents. Telematics and Informatics. 2004; 21(4):359–73. doi: 10.1016/j.tele.2004.04.001 [DOI:10.1016/j.tele.2004.04.001]
5. Palen L, Salzman M, Youngs E. Going wireless: behavior and practice of new mobile phone users. Paper presented at: ACM Conference on Computer Supported Cooperative Work. 2-6 December 2000. Philadelph, USA. [DOI:10.1145/358916.358991]
6. Sharples M. The design of personal mobile technologies for lifelong learning. Computers & Education. 2000; 34(3-4):177–93. doi: 10.1016/s0360-1315(99)00044-5 [DOI:10.1016/S0360-1315(99)00044-5]
7. Mirman JH, Durbin DR, Lee YC, Seifert SJ. Adolescent and adult drivers' mobile phone use while driving with different interlocutors. Accident Analysis & Prevention. 2017; 104:18–23. doi: 10.1016/j.aap.2017.04.014 [DOI:10.1016/j.aap.2017.04.014]
8. Dogoriti E, Pange J, Anderson GS. The use of social networking and learning management systems in English language teaching in higher education. Campus-Wide Information Systems. 2014; 31(41):35-51. doi: 10.1108/CWIS-11-2013-0062 [DOI:10.1108/CWIS-11-2013-0062]
9. Walsh SP, White KM. Ring, ring, why did I make that call? Mobile phone beliefs and behaviour amongst Australian university students. Youth Studies Australia. 2006; 25(3):49-57.
10. McEvoy SP, Stevenson MR, Woodward M. The contribution of passengers versus mobile phone use to motor vehicle crashes resulting in hospital attendance by the driver. Accident Analysis & Prevention. 2007; 39(6):1170–6. doi: 10.1016/j.aap.2007.03.004 [DOI:10.1016/j.aap.2007.03.004]
11. McEvoy SP, Stevenson MR, Woodward M. Phone use and crashes while driving: A representative survey of drivers in two Australian states. MJA. 2006;185(11):630-634. [PMID]
12. Lamble D, Rajalin S, Summala H. Mobile Phone use while diving: public opinions on restrictions. Transportation. 2002; 29(3):223–36. doi: 10.1023/a:1015698129964 [DOI:10.1023/A:1015698129964]
13. Violanti JM, Marshall JR. Cellular phones and traffic accidents: An epidemiological approach. Accident Analysis & Prevention. 1996; 28(2):265–70. doi: 10.1016/0001-4575(95)00070-4 [DOI:10.1016/0001-4575(95)00070-4]
14. Rakauskas ME, Gugerty LJ, Ward NJ. Effects of naturalistic cell phone conversations on driving performance. Journal of Safety Research. 2004; 35(4):453–64. doi: 10.1016/j.jsr.2004.06.003 [DOI:10.1016/j.jsr.2004.06.003]
15. Gugerty L, Rakauskas M, Brooks J. Effects of remote and in-person verbal interactions on verbalization rates and attention to dynamic spatial scenes. Accident Analysis & Prevention. 2004; 36(6):1029–43. doi: 10.1016/j.aap.2003.12.002 [DOI:10.1016/j.aap.2003.12.002]
16. Nasar J, Hecht P, Wener R. Mobile telephones, distracted attention, and pedestrian safety. Accident Analysis & Prevention. 2008; 40(1):69–75. doi: 10.1016/j.aap.2007.04.005 [DOI:10.1016/j.aap.2007.04.005]
17. Strayer DL, Johnston WA. Driven to distraction: dual-task studies of simulated driving and conversing on a cellular telephone. Psychological Science. 2001; 12(6):462–6. doi: 10.1111/1467-9280.00386 [DOI:10.1111/1467-9280.00386]
18. Strayer DL, Drews FA, Johnston WA. Cell phone-induced failures of visual attention during simulated driving. Journal of Experimental Psychology: Applied. 2003; 9(1):23–32. doi: 10.1037/1076-898x.9.1.23 [DOI:10.1037/1076-898X.9.1.23]
19. Allsopp LM. The Risk of Using a Mobile Phone While Driving. Edgbaston: Royal Society for the Prevention of Accidents; 2005. [PMCID]
20. Fuller R. The task-capability interface model of the driving process. Recherche - Transports - Sécurité. 2000; 66:47–57. doi: 10.1016/s0761-8980(00)90006-2 [DOI:10.1016/S0761-8980(00)90006-2]
21. Lee JD, Strayer DL. Preface to the special section on driver distraction. Human Factors. 2004; 46(4):583–586. [DOI:10.1518/hfes.46.4.583.56811] [PMID]
22. Chliaoutakis JE, Darviri C, Demakakos PT. The impact of young drivers' lifestyle on their road traffic accident risk in greater Athens area. Accident Analysis & Preventio. 1999; 31(6):771–80. doi: 10.1016/s0001-4575(99)00040-8 [DOI:10.1016/S0001-4575(99)00040-8]
23. Mccartt AT, Hellinga LA, Bratiman KA. Cell phones and driving: review of research. Traffic Injury Prevention. 2006; 7(2):89–106. doi: 10.1080/15389580600651103 [DOI:10.1080/15389580600651103]
24. Briem V, Hedman LR. Behavioural effects of mobile telephone use during simulated driving. 1995; 38(12):2536–62. doi: 10.1080/00140139508925285 [DOI:10.1080/00140139508925285]
25. Brookhuis KA, de Vries G, de Waard D. The effects of mobile telephoning on driving performance. Accident Analysis & Prevention. 1991; 23(4):309–16. doi: 10.1016/0001-4575(91)90008-s [DOI:10.1016/0001-4575(91)90008-S]
26. Ranney TA, Garrott WR, Goodman MJ. NHTSA driver distraction research: Past, present, and future. Driver Distraction Internet Forum. 2000; 233:9.
27. McKnight AJ, McKnight AS. The effect of cellular phone use upon driver attention. Accident Analysis & Prevention. 1993; 25(3):259–65. doi: 0.1016/0001-4575(93)90020-w
28. Redelmeier DA, Tibshirani RJ. Association between Cellular-Telephone Calls and Motor Vehicle Collisions. New England Journal of Medicine. 1997; 336(7):453–8. doi: 10.1056/nejm199702133360701 [DOI:10.1056/NEJM199702133360701]
29. Shaffer HJ. Understanding the means and objects of addiction: Technology, the internet, and gambling. Journal of Gambling Studies. 1996; 12(4):461–9. doi: 10.1007/bf01539189 [DOI:10.1007/BF01539189]
30. Orford J. Excessive appetites: a psychological view of addictions. Hoboken, New Jersey: Wiley; 2001. [PMCID]
31. Lemon J. Can we call behaviours addictive? Clinical Psychologist. 2002; 6(2):44–9. doi: 10.1080/13284200310001707411 [DOI:10.1080/13284200310001707411]
32. Bianchi A, Phillips JG. Psychological predictors of problem mobile phone use. CyberPsychology & Behavior. 2005; 8(1):39–51. doi: 10.1089/cpb.2005.8.39 [DOI:10.1089/cpb.2005.8.39]
33. James D, Drennan J. Exploring Addictive Consumption of Mobile Phone Technology. ANZMAC 2005 Conference: Electron Mark. 2005 5-7 December; Perth, Australia.
34. Takao M, Takahashi S, Kitamura M. Addictive personality and problematic mobile phone use. Cyberpsychology & Behavior. 2009; 12(5):501-7. doi: 10.1089/cpb.2009.0022. [DOI:10.1089/cpb.2009.0022]
35. Walsh SP, White KM, Watson BC, Hyde MK. Psychosocial Factors Influencing Mobile Phone Use While Driving. Canberra: Australian Transport Safety Bureau; 2007.
36. Marks I. Behavioural (non-chemical) addictions. Addictio. 1990; 85(11):1389–94. doi: 10.1111/j.1360-0443.1990.tb01618.x [DOI:10.1111/j.1360-0443.1990.tb01618.x]
37. Griffiths M. Gambling on the internet: A brief note. Journal of Gambling Studies. 1996; 12(4):471–3. doi: 10.1007/bf01539190 [DOI:10.1007/BF01539190]
38. Shatton MA. Computer Addiction Pb: A Study Of Computer Dependency. Boca Raton, Florida: CRC Press; 2005.
39. Walsh SP, White KM, Young RM. Over-connected? A qualitative exploration of the relationship between Australian youth and their mobile phones. Journal of Adolescence. 2008; 31(1):77–92. doi: 10.1016/j.adolescence.2007.04.004 [DOI:10.1016/j.adolescence.2007.04.004]
40. Nakken C. The Addictive Personality: Understanding the Addictive Process and Compulsive Behavior. Placerville: Hazelden Publishing; 1996.
41. Shams M, Rahimi-Movaghar V. Risky driving behaviors in Tehran, Iran. Traffic Injury Prevention. 2009; 10(1):91–4. doi: 10.1080/15389580802492280 [DOI:10.1080/15389580802492280]
42. 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. Accident Analysis & Prevention. 2008; 40(1):35–44. doi: 10.1016/j.aap.2007.04.004 [DOI:10.1016/j.aap.2007.04.004]
43. Eby DW, Vivoda JM, St. Louis RM. Driver hand-held cellular phone use: A four-year analysis. Journal of Safety Research. 2006; 37(3):261–5. doi: 10.1016/j.jsr.2006.02.003 [DOI:10.1016/j.jsr.2006.02.003]
44. Bahadorimonfared A, Soori H, Mehrabi Y, Delpisheh A, Esmaili A, Salehi M, et al. Trends of fatal road traffic injuries in Iran (2004–2011). PLoS ONE. 2013; 8(5):e65198. doi: 10.1371/journal.pone.0065198 [DOI:10.1371/journal.pone.0065198]
45. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991; 50(2):179–211. doi: 10.1016/0749-5978(91)90020-t [DOI:10.1016/0749-5978(91)90020-T]
46. Conner M, Norman P. Predicting Health Behaviour. New York: McGraw-Hill; 1996.
47. Ajzen I, Madden TJ. Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psycholog. 1986; 22(5):453–74. doi: 10.1016/0022-1031(86)90045-4 [DOI:10.1016/0022-1031(86)90045-4]
48. Walsh SP, White KM, Watson BC, Hyde MK. Psychosocial Factors Influencing Mobile Phone Use While Driving. Canberra: Australian Transport Safety Bureau; 2007.
49. Walsh SP, White KM, Hyde MK, Watson B. Dialling and driving: Factors influencing intentions to use a mobile phone while driving. Accident Analysis & Prevention. 2008; 40(6):1893–900. doi: 10.1016/j.aap.2008.07.005 [DOI:10.1016/j.aap.2008.07.005]
50. Elliott MA, Armitage CJ, Baughan CJ. Drivers' compliance with speed limits: An application of the theory of planned behavior. Journal of Applied Psychology. 2003; 88(5):964-72. doi: 10.1037/0021-9010.88.5.964 [DOI:10.1037/0021-9010.88.5.964]
51. Salvucci DD. Predicting the effects of in-car interface use on driver performance: an integrated model approach. International Journal of Human-Computer Studies. 2001; 55(1):85–107. doi: 10.1006/ijhc.2001.0472 [DOI:10.1006/ijhc.2001.0472]
52. Taylor DM, Bennett DM, Carter M, Garewal D. Mobile telephone use among Melbourne drivers: a preventable exposure to injury risk. The Medical Journal of Australia. 2003; 179(3):140-2. PMID: 12885282 [PMID]
53. Perlmutter M. Old people in a new society. (Review of Aging and Technological Advances, edited by P. Robinson, J. Livingston & J. Birren. Contemporary Psychology. 1986; 31(3):229-230.
54. Sullman MJ, Baas PH. Mobile phone use amongst New Zealand drivers. Transportation Research Part F: Traffic Psychology and Behaviour. 2004; 7(2):95–105. doi: 10.1016/j.trf.2004.03.001 [DOI:10.1016/j.trf.2004.03.001]
55. 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. Accident Analysis & Prevention. 2007; 39(2):347–55. doi: 10.1016/j.aap.2006.08.006 [DOI:10.1016/j.aap.2006.08.006]
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