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How Much Do Knowledge About and Attitude Toward Mobile Phone Use Affect Behavior While Driving? An Empirical Study Using a Structural Equation Model

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Studies in Theoretical and Applied Statistics (SIS 2021)

Abstract

Road accidents are the eighth cause of death worldwide and the first among young people, and, in turn, distraction is considered one of the main determinants of road accidents. One of the most important factors of distraction while driving appears to be the use of a mobile phone. This paper aims at simultaneously analyzing individual Knowledge, Attitudes, and Behaviors toward the use of mobile phones while driving in one of the largest and most populous metropolitan areas of Italy, Naples. The study analyzes a sample of 774 questionnaires which consist of 39 questions each. Several socio-demographic characteristics (i.e., gender, age, profession, and others) are considered within this study. A Structural Equation Model displays that the relationship between Knowledge and Behavior is not direct and it passes through the Attitude. The results of this study might be used for the creation of targeted educational programs, community-based interventions, and legal regulations.

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References

  1. European Road Safety Observatory: Annual accident report 2018. Tech. Rep. https://ec.europa.eu/transport/road_safety/system/files/2021-07/asr2018.pdf

  2. International Transport Forum: Road safety annual report 2019: Australia. Tech. Rep. https://www.itf-oecd.org/sites/default/files/australia-road-safety.pdf

  3. International Transport Forum: Road safety annual report 2019: Italy. Tech. Rep. https://www.itf-oecd.org/sites/default/files/italy-road-safety.pdf

  4. Istat Press Release 2019: Road accidents—preliminary estimates: January–June 2019. Tech. Rep. https://www.istat.it/it/files//2019/12/incidenti-stradali2019_stima-gennaio-giugno_EN.pdf

  5. The kap survey model (knowledge, attitudes, and practices). Tech. Rep. https://www.medecinsdumonde.org/en/actualites/publications/2012/02/20/kap-survey-model-knowledge-attitude-and-practices

  6. National Center for Statistics and Analysis 2019: Driver electronic device use in 2018 (traffic safety facts research note. Report No. dot hs 812 818). National highway traffic safety administration, Washington, DC. Tech. Rep. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812818.pdf

  7. Who global status report on road safety 2018. Tech. Rep. https://www.who.int/publications-detail/global-status-report-on-road-safety-2018

  8. Adeola, R., Omorogbe, A., Johnson, A.: Get the message: a teen distracted driving program. J. Trauma. Nurs. 23(6), 312–320 (2016)

    Article  Google Scholar 

  9. Al-Jasser, F., Mohamed, A., Choudry, A., Youssef, R.: Mobile phone use while driving and the risk of collision: a study among preparatory year students at king Saud University, Riyadh, Saudi Arabia. J. Fam. Community Med. 25(2), 102–107 (2018)

    Article  Google Scholar 

  10. Alraeesi, F., Farzin, F., Abdouli, K., Sherif, F., Almarzooqi, K., AlAbdool, N.: Smoking behavior, knowledge, attitude, and practice among patients attending primary healthcare clinics in Dubai, United Arab Emirates. J. Family Med. Prim. Care 9(1), 315–320 (2020)

    Article  Google Scholar 

  11. Asensio, J., Matas, A.: Commuters’ valuation of travel time variability. Res. Part E Logist. Transp. Rev. 44(6), 1074–1085 (2008)

    Article  Google Scholar 

  12. Atchley, P., Atwood, S., Boulton, A.: The choice to text and drive in younger drivers: behavior may shape attitude. Accid. Anal. Prev. 43(1), 134–142 (2011)

    Article  Google Scholar 

  13. Bianchi, A., Phillips, J.: Psychological predictors of problem mobile phone use. Cyberpsychol. Behav. 8(1), 39–51 (2005)

    Article  Google Scholar 

  14. Consiglio, W., Driscoll, P., Witte, M., Berg, W.: Effect of cellular telephone conversations and other potential interference on reaction time in a braking response. Accid. Anal. Prev 35(4), 495–500 (2003)

    Article  Google Scholar 

  15. De Pretto, L., Acreman, S., Ashfold, M., Mohankumar, S., Campos-Arceiz, A.: The link between knowledge, attitudes and practices in relation to atmospheric haze pollution in peninsular Malaysia. PLoS One 10(12), e0143655 (2015)

    Article  Google Scholar 

  16. Donkor, I., Gyedu, A., Edusei, A., Ebel, B., Donkor, P.: Mobile phone use among commercial drivers in Ghana: an important threat to road safety. Ghana Med. 52(3), 122–126 (2018)

    Article  Google Scholar 

  17. Eost, C., Flyte, M.: An investigation into the use of the car as a mobile office. Appl. Ergon. 29(5), 383–388 (1998)

    Article  Google Scholar 

  18. Gariazzo, C., Stafoggia, M., Bruzzone, S., Pelliccioni, A., Forastiere, F.: Association between mobile phone traffic volume and road crash fatalities: a population-based case-crossover study. Accid. Anal. Prev. 115, 25–33 (2018)

    Article  Google Scholar 

  19. Gras, M., Cunill, M., Sullman, M., Planes, M., Aymerich, M., Font-Mayolas, S.: Mobile phone use while driving in a sample of Spanish university workers. Appl. Ergon. 39(2), 347–355 (2007)

    Google Scholar 

  20. Hancock, P., Lesch, M., Simmons, L., Mouloua, M.: Distraction effects of phone use during a crucial driving maneuver. Accid. Anal. Prev. 35(4), 501–514 (2003)

    Article  Google Scholar 

  21. Harman, H.H.: Modern Factor Analysis. University of Chicago Press, Chicago (1960)

    MATH  Google Scholar 

  22. Hassen, A., Godesso, A., Abebe, L., Girma, E.: Risky driving behaviors for road traffic accident among drivers in Mekele city, northern Ethiopia. BMC Res. Notes 4(535) (2003)

    Google Scholar 

  23. Hill, T., Sullman, M., Stephens, A.: Mobile phone involvement, beliefs, and texting while driving in Ukraine. Accid. Anal. Prev. 125, 124–131 (2019)

    Article  Google Scholar 

  24. Horn, J.L.: A rationale and test for the number of factors in factor analysis. Psychometrika 30(2), 179–185 (1965)

    Article  MATH  Google Scholar 

  25. Huisingh, C., Griffin, R., McGwin, G.: The prevalence of distraction among passenger vehicle drivers: a roadside observational approach. Traffic Inj. Prev. 16(2), 140–146 (2015)

    Article  Google Scholar 

  26. Jöreskog, K.: A general method for estimating a linear structural equation system. ETS Res. Rep. Ser. 2 (1970)

    Google Scholar 

  27. Llerena, L., Aronow, K., Macleod, J., Bard, M., Salzman, S., Greene, W., Haider, A., Schupper, A.: An evidence-based review: distracted driver. J. Trauma. Acute Care Surg. 78(1), 147–152 (2015)

    Article  Google Scholar 

  28. Lorini, C., Pellegrino, E., Mannocci, F., Allodi, G., Indiani, L., Mersi, A., Petrioli, G., Santini, M., Garofalo, G., Bonaccorsi, G.: Use of seat belts and mobile phone while driving in florence: trend from 2005 to 2009. Epidemiol. Prev. 36(1), 34–40 (2012)

    Google Scholar 

  29. Mirman, J., Durbin, D., Lee, Y., Seifert, S.: Adolescent and adult drivers’ mobile phone use while driving with different interlocutors. Accid. Anal. Prev. 104, 18–23 (2017)

    Article  Google Scholar 

  30. Montuori, P., Triassi, M., Sarnacchiaro, P.: The consumption of genetically modified foods in Italian high school students. Food Qual. Prefer. 26(2), 246–251 (2012)

    Article  Google Scholar 

  31. Musicant, O., Lotan, T., Albert, G.: Do we really need to use our smartphones while driving. Accid. Anal. Prev. 85, 13–21 (2015)

    Article  Google Scholar 

  32. Nemme, H., White, K.: Texting while driving: psychosocial influences on young people’s texting intentions and behavior. Accid. Anal. Prev. 42(4), 1257–1265 (2010)

    Article  Google Scholar 

  33. Nevin, P., Blanar, L., Kirk, A., Freedheim, A., Kaufman, R., Hitchcock, L., Maeser, J., Ebel, B.: “i wasn’t texting; i was just reading an email ...”: a qualitative study of distracted driving enforcement in Washington state. Inj. Prev. 23(3), 165–170 (2017)

    Google Scholar 

  34. Nobile, C., Montuori, P., Diaco, E., Villari, P.: Healthcare personnel and hand decontamination in intensive care units: Knowledge, attitudes, and behaviour in Italy. J. Hosp. Inf. 51(3), 226–232 (2002)

    Article  Google Scholar 

  35. Oviedo-Trespalacios, O., King, M., Haque, M., Washington, S.: Risk factors of mobile phone use while driving in Queensland: prevalence, attitudes, crash risk perception, and task-management strategies. PLoS ONE 12(9), e0183361 (2017)

    Article  Google Scholar 

  36. Oviedo-Trespalacios, O., Scott-Parker, B.: Transcultural validation and reliability of the spanish version of the behaviour of young novice driver scale (bynds) in a Colombian young driver population. Transp. Res. Part F Traff. Psychol. Behav. 49, 188–204 (2017)

    Google Scholar 

  37. Pless, C., Pless, B.: Mobile phones and driving. BMJ 348, 1193 (2014)

    Article  Google Scholar 

  38. Postelnicu, C., Machidon, O., Girbacia, F., Voinea, G., Duguleana, M.: Effects of playing mobile games while driving, distributed, ambient, and pervasive interactions. In: Proceedings of the Fourth International Conference, DAPI 2016, pp. 291–301 (2016)

    Google Scholar 

  39. Pöysti, L., Rajalina, S., Summala, H.: Factors influencing the use of cellular (mobile) phone during driving and hazards while using it. Accid. Anal. Prev. 37(1), 47–51 (2005)

    Article  Google Scholar 

  40. Rossiter, J.R.: The coarse procedure for scale development in marketing. Int. J. Res. Marketing 19, 305–335 (2002)

    Article  Google Scholar 

  41. Sarnacchiaro, P., Boccia, F.: Some remarks on measurement models in the structural equation model: an application for socially responsible food consumption. J. Appl. Stat. 45(7), 1193–1208 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  42. Sen, A., Srivastava, M.: Regression Analysis: Theory, Methods and Applications. Springer, New York, USA (1990)

    Google Scholar 

  43. Shaaban, K.: Investigating cell phone use while driving in Qatar. Procedia Soc. Behav. Sci. 104 (2014)

    Google Scholar 

  44. Skierkowski, D., Wood, R.: To text or not to text? The importance of text messaging among college-aged youth. Comput. Human Behav. 28(2), 744–756 (2012)

    Article  Google Scholar 

  45. Sullman, M., Baas, P.: Mobile phone use amongst New Zealand drivers. Transp. Res. Part F Traff. Psychol. Behav. 7(2), 95–105 (2004)

    Google Scholar 

  46. Sullman, M., Przepiorka, A., Prat, F., Blachnio, A.: The role of beliefs in the use of hands-free and handheld mobile phones while driving. Comput. Human Behav. 9, 187–194 (2018)

    Google Scholar 

  47. Tison, J., Chaudhary, N., Cosgrove, L.: National phone survey on distracted driving attitudes and behaviors. National Highway Traffic Safety Administration, Washington, DC. Tech. Rep. (2011)

    Google Scholar 

  48. Tomer-Fishman, T.: Distraction in driving by the use of electronic communication devices. The Israeli Road Safety Authority (in Hebrew) (2010)

    Google Scholar 

  49. Trivedi, N., Haynie, D., Bible, J., Liu, D., Simons-Morton, B.: Cell phone use while driving: prospective association with emerging adult use. Accid. Anal. Prev. 16, 450–455 (2017)

    Article  Google Scholar 

  50. Truong, L., Nguyen, H., De Gruyter, C.: Mobile phone use among motorcyclists and electric bike riders: a case study of Hanoi, Vietnam. Accid. Anal. Prev. 91, 208–215 (2016)

    Article  Google Scholar 

  51. Valent, F., Del Pin, M., Mattiussi, E., Palese, A.: Prevalence of mobile phone use among drivers: direct observation in Udine (northern Italy). Epidemiol. Prev. 44(2–3), 171–178 (2020)

    Google Scholar 

  52. Velicer, W.F.: Determining the number of components from the matrix of partial correlations. Psychometrika 41, 321–327 (1976)

    Article  MATH  Google Scholar 

  53. Walsh, S., White, K.: Ring, ring, why did I make that call? Mobile phone beliefs and behavior among Australian university students. Youth Stud. Aust. 25(3), 49–57 (2006)

    Google Scholar 

  54. Walsh, S., White, K., Hyde, M.B.W.: Dialing and driving: factors influencing intentions to use a mobile phone while driving. Accid. Anal. Prev. 40(6), 1893–1900 (2008)

    Google Scholar 

  55. White, K., Hyde, M., Walsh, S., Watson, B.: Mobile phone use while driving: an investigation of the beliefs influencing drivers’ hand-free and hand-held mobile phone use. Transp. Res. Part F Traff. Psychol. Behav. 13(1), 9–20 (2010)

    Google Scholar 

  56. White, M., Eiser, J., Harris, P.: Risk perceptions of mobile phone use while driving. Risk Anal. 24(2), 323–334 (2004)

    Article  Google Scholar 

  57. Wogalter, M., Mayhorn, C.: Perceptions of driver distraction by cellular phone users and nonusers. Hum. Factors 47(2), 455–467 (2005)

    Article  Google Scholar 

  58. Wold, H.: Path models with latent variables: the nipals approach. In: Blalock, H., Aganbegian, A., Borodkin, F., Boudon, R., Capecchi, V. (eds.) Quantitative Sociology, International Perspectives on Mathematical and Statistical Modeling, pp. 307–357. Academic Press (1975)

    Google Scholar 

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Correspondence to Carlo Cavicchia .

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Cavicchia, C., Sarnacchiaro, P., Montuori, P. (2022). How Much Do Knowledge About and Attitude Toward Mobile Phone Use Affect Behavior While Driving? An Empirical Study Using a Structural Equation Model. In: Salvati, N., Perna, C., Marchetti, S., Chambers, R. (eds) Studies in Theoretical and Applied Statistics . SIS 2021. Springer Proceedings in Mathematics & Statistics, vol 406. Springer, Cham. https://doi.org/10.1007/978-3-031-16609-9_17

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