The Impact of Mobile Phone Use on Young Drivers' Driving Behaviour and Visual Scanning of the Environment
Driver distraction has been identified as a contributing factor to road crashes, among which the most common is the use of mobile phones while driving. For this reason, the aim of this paper is to analyse the behaviour of young drivers while they use mobile phones (answering a telephone call, texting, and browsing the internet) and drive in a simulated urban environment. In total 28 volunteers participated in the study. Several variables were recorded for each participant: driving speed, acceleration, deceleration, and eye movement. The results show that the difference in driving speed, acceleration, and deceleration was relatively small for each task and for the control condition (no use of mobile phone). However, when looking at the total time required for conducting each task, participants spent 26.44% of the time looking at the phone when texting, 37.01% when browsing the internet, and 2.27% when talking on the phone. In addition, participants viewed on average 66.45% traffic signs when distracted, compared to 79.22% during undistracted driving. Based on the results, a proactive approach to reduce the problem related to the use of mobile phones while driving is proposed.
Jovović I, Peraković D, Husnjak S. The impact of using modern information and communication equipment and services on driving safety. Promet – Traffic&Transportation. 2018;30(5): 635-4. doi: 10.7307/ptt.v30i5.2783.
Young K, Regan, M. Driver distraction: A review of the literature. In: Faults IJ, Regan M, Stevenson M, Brown J, Porter A, Irwin JD. (eds.). Distracted driving. Sydney, NSW: Australasian College of Road Safety; 2007. p. 379-405.
Young K, Regam M, Hammer M. Driver distraction: A review of the literature. Monash University Accident Research Centre. Report number: 206, 2003.
European Road Safety Observatory. Driver distraction – Summary, 2018. 2018. Available at: https://ec.europa.eu/transport/road_safety/sites/default/files/pdf/ersosynthesis2018-driverdistraction-summary.pdf.
Hrvatska udruga menadžera u sigurnosti. [Dan bez mobitela u prometu]. 2017. Available at: https://danbezmobitelauprometu.uhms.hr/istrazivanja/. Croatian.
Babić D, Ščukanec A, Babić D. The impact of road familiarity on the perception of traffic signs - Eye tracking case study. The Proceedings of the 10th International Conference: "Environmental Engineering", 27-28 April 2017, Vilnius, Lithuania; 2017. p. 1-7.
National Highway Traffic Safety Administration (NHTSA). Distracted driving 2015 – Summary of statistical findings. Report number: DOT HS 812 132, 2017. Available at: https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812381.
Strayer DL, Johnston WA. Driver to distraction: Dual-task studies of simulated driving and conversing on a cellular telephone. Psychological Science. 2001;12(6): 462-466. doi: 10.1111/1467-9280.00386.
Hancock PA, Lesch M, Simmons L. The distraction effects of phone use during a crucial driving maneuver. Accident Analysis and Prevention. 2003;35(4): 501-514. doi: 10.1016/s0001-4575(02)00028-3.
Yan W, et al. Effects of hands-free cellular phone conversational cognitive tasks on driving stability based on driving simulation experiment. Transportation Research Part F: Traffic Psychology and Behaviour. 2018;58: 264-281. doi: 10.1016/j.trf.2018.06.023.
Charlton SG. Driving while conversing: Cell phones that distract and passengers who react. Accident Analysis and Prevention. 2009;41(1): 160-173. doi: 10.1016/j.aap.2008.10.006.
Rosenbloom T. Driving performance while using cell phones: An observational study. Journal of Safety Research. 2006;37(2): 207-212. doi: 10.1016/j.jsr.2005.11.007.
Beede KE, Kass SJ. Engrossed in conversation: The impact of cell phones on simulated driving performance. Accident Analysis and Prevention. 2006;38(2): 415-421. doi: 10.1016/j.aap.2005.10.015.
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 and Prevention. 2003;35(4): 495-500. doi: 10.1016/s0001-4575(02)00027-1.
Saifuzzaman M, Haque MM, Zheng Z, Washington S. Impact of mobile phone use on car-following behaviour of young drivers. Accident Analysis and Prevention. 2015;82: 10-19. doi: 10.1016/j.aap.2015.05.001.
Törnros J, Bolling A. Mobile phone use – Effects of conversation on mental workload and driving speed in rural and urban environments. Transportation Research Part F: Traffic Psychology and Behaviour. 2006;9(4): 298-306. doi: 10.1016/j.trf.2006.01.008.
Alosco ML, et al. Both texting and eating are associated with impaired simulated driving performance. Traffic Injury Prevention. 2012;13: 468-475. doi: 10.1080/15389588.2012.676697.
Rumschlag G, et al. The effects of texting on driving performance in a driving simulator: The influence of driver age. Accident Analysis and Prevention. 2015;74: 145-149. doi: 10.1016/j.aap.2014.10.009.
Hosking SG, Young KL, Regan MA. The effects of text messaging on young drivers. Human Factors. 2009;51: 582-592. doi: 10.1177/0018720809341575.
Caird JK, et al. A meta-analysis of the effects of texting on driving. Accident Analysis and Prevention. 2014;71: 311-318. doi: 10.1016/j.aap.2014.06.005.
Young KL, et al. Effects of phone type on driving and eye glance behaviour while text-messaging. Safety Science. 2014;68: 47-54. doi: 10.1016/j.ssci.2014.02.018.
Desmet D, Diependaele K. An eye-tracking study on the road examining the effects of handsfree phoning on visual attention. Transportation Research Part F: Traffic Psychology and Behaviour. 2019;60: 549-559. doi: 10.1016/j.trf.2018.11.013.
Hashash M, Zeid MA, Moacdieh NM. Social media browsing while driving: Effects on driver performance and attention allocation. Transportation Research Part F: Traffic Psychology and Behaviour. 2019;63: 67-82. doi: 10.1016/j.trf.2019.03.021.
Cazzulino F, et al. Cell phones and young drivers: A systematic review regarding the association between psychological factors and prevention. Traffic Injury Prevention. 2013;15(3): 234-242. doi: 10.1080/15389588.2013.822075.
Jannuscha T, et al. Smartphone use while driving: An investigation of young novice driver (YND) behaviour. Transportation Research Part F: Traffic Psychology and Behaviour. 2021;77: 209-220. doi: 10.1016/j.trf.2020.12.013.
Rudin-Brown CM, Edquist J, Lenné MG. Effects of driving experience and sensation-seeking on drivers’ adaptation to road environment complexity. Safety Science. 2014;62: 121-129. doi: 10.1016/j.ssci.2013.08.012.
Cox JA, Beanland V, Filtness AJ. Risk and safety perception on urban and rural roads: Effects of environmental features, driver age and risk sensitivity. Traffic Injury Prevention. 2017;18(7): 703-710. doi: 10.1080/15389588.2017.1296956.
Cabrera-Arnau C, Curiel RP, Bishop SR. Uncovering the behaviour of road accidents in urban areas. Royal Society Open Science. 2020;7(4): 191739. doi: 10.1098/rsos.191739.
Tobii Pro. 2021. Available at: https://www.tobiipro.com/.
Dunn OJ. Multiple Comparisons among Means. Journal of the American Statistical Association. 1961;56(293): 52-64.
Fitch GM, Grove K, Hanowski RJ, Perez MA. Compensatory behavior of drivers when conversing on a cell phone. Journal of the Transportation Research Board. 2014;2434: 1-8. doi: 10.3141/2434-01.
Törnros JEB, Bolling AK. Mobile phone use—Effects of handheld and handsfree phones on driving performance. Accident Analysis and Prevention. 2005;37: 902-09. doi: 10.1016/j.aap.2005.04.007.
Oviedo-Trespalacios O, Haque MM, King M, Washington S. Self-regulation of driving speed among distracted drivers: An application of driver behavioral adaptation theory. Traffic Injury Prevention. 2017;18: 599-605. doi: 10.1080/15389588.2017.1278628.
Hussain Q, et al. Drivers’ estimation of their travelling speed: A study on an expressway and a local road. International Journal of Injury Control and Safety Promotion. 2019;26(3): 216-224. doi: 10.1080/17457300.2019.1618342.
Ben-Bassat T, Shinar D. Effect of shoulder width, guardrail and roadway geometry on driver perception and behavior. Accident Analysis and Prevention. 2011;43(6): 2142-2152. doi: 10.1016/j.aap.2011.06.004 PMID: 21819845.
Bos JE, van den Berg-Kroon L, Houben M, Kuiper O. In-car speed estimations with real, virtual, and no view. Displays. 2019;58: 66-70. doi: 10.1016/j.displa.2019.01.001.
Caird JK, Willness CR, Steel P, Scialfa C. A meta-analysis of the effects of cell phones on driver performance. Accident Analysis and Prevention. 2008;40(4): 1282-1293. doi: 10.1016/j.aap.2008.01.009.
Almeida R, Vasconcelos L, Bastos Silva A. Design consistency index for twolane roads based on continuous speed profiles. Promet – Traffic&Transportation. 2018;30(2): 231-239. doi: 10.7307/ptt.v30i2.2573.
Altamira A, et al. Acceleration and deceleration patterns on horizontal curves and their tangents on two-lane rural roads. Presented at the 93rd Transportation Research Board Meeting, 12–16 January 2014, Washington DC, USA; 2014. p. 15.
Collet C, Guillot A, Petit C. Phoning while driving I: A review of epidemiological, psychological, behavioural and physiological studies. Ergonomics. 2010;53(5): 589-601. doi: 10.1080/00140131003672023.
Weltman G, Egstrom GH. Perceptual narrowing in novice drivers. Human Factors. 1966;8: 499-905. doi: 10.1177/001872086600800604.
Atchley P, Dressel J. Conversation limits the functional field of view. Human Factors. 2004;46: 664-673. doi: 10.1518/hfes.46.4.664.56808.
Langer P, et al. Hand-free mobile phone conversation impairs the peripheral visual system to an extent comparable to an alcohol level of 4–5 g 100 ml. Human Psychopharmacology. 2005;20: 65-66. doi: 10.1002/hup.654.
Barkana Y, et al. Visual field attention is reduced by concomitant hand-free conversation on a cellular tele-phone. American Journal of Ophthalmology. 2004;138: 347-353. doi: 10.1016/j.ajo.2004.04.016.
Matthews G, et al. Driving in states of fatigue or stress. In: Fisher DL, Rizzo M, Caird J, Lee JD. (eds.) Handbook of Driving Simulation for Engineering, Medicine, and Psychology. Boca Raton, FL, USA: Taylor and Francis; 2011. p. 29-11.
De Waard D, Brookhuis K. On the measurement of driver mental workload. In: Rothengatter T, Carbonell Vaya EE. (eds.) Traffic and Transport Psychology: Theory and Application. Amsterdam: Pergamon; 1997. p. 161-171.
Galante F, et al. Validity of mental workload measures in a driving simulation environment. Journal of Advanced Transportation. 2018;(4): 1-11. doi: 10.1155/2018/5679151.
Yanko MR, Spalek TM. Route familiarity breeds inattention: A driving simulator study. Accident Analysis and Prevention. 2013;57: 80-86. doi: 10.1016/j.aap.2013.04.003.
Topolšek D, Babić D, Fiolić M. The effect of road safety education on the relationship between driver’s errors, violations and accidents: Slovenian case study. European Transport Research Review. 2019;11(18): 1-8. doi: 10.1186/s12544-019-0351-y.
Shell DF, Newman IM, Cordova-Cazar AL, Heese JM. Driver education and teen crashes and traffic violations in the first two years of driving in a graduated licensing system. Accident Analysis and Prevention. 2015;82: 45-52. doi: 10.1016/j.aap.2015.05.011.
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