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Examining drivers’ socio-demographic variables and perceptions towards sanction mechanisms on speeding behaviour on highways: targeting appropriate prevention

Published online by Cambridge University Press:  16 March 2021

Fitri Trapsilawati Open the ORCID record for Fitri Trapsilawati [Opens in a new window] ,
Nadhiya Ulhaq Priatna ,
Titis Wijayanto ,
Ari Widyanti ,
Utami Dyah Syafitri  and
Nur Chamidah
Fitri Trapsilawati*
Affiliation:
Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Nadhiya Ulhaq Priatna
Affiliation:
Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Titis Wijayanto
Affiliation:
Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Ari Widyanti
Affiliation:
Department of Industrial Engineering, Bandung Institute of Technology, Bandung, Indonesia.
Utami Dyah Syafitri
Affiliation:
Department of Statistics, IPB University, Bogor, Indonesia.
Nur Chamidah
Affiliation:
Department of Mathematics, Airlangga University, Surabaya, Indonesia
*
*Corresponding author. E-mail: fitri.trapsilawati@ugm.ac.id.
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Abstract

Investigating the underlying predictors of speeding behaviour deserves the full attention of research. This study aims to examine the effects of demographic variables on the perceived deterrent mechanisms and to predict speeding behaviour to target appropriate prevention programmes. In this study, 212 randomly selected drivers having a valid car driving licence participated in an online survey. The results revealed that demographic variables influenced drivers’ perceptions towards social and legal sanctions as well as material loss. The model revealed that two sanction-related constructs, that is, legal sanction (b = −0⋅227, P = 0⋅007) and material loss (b = −0⋅218, P = 0⋅005), as well as lax perception towards traffic accident (b = −0⋅176, P = 0⋅025), were the significant predictors of speeding behaviour. These findings suggested that prevention programmes should prioritise young and single drivers. The most effective targeted prevention programmes are highlighted accordingly based on the study results.

Keywords

car navigationhuman factorsergonomicssafetytraffic management
Type
Research Article
Information
The Journal of Navigation , Volume 74 , Issue 4 , July 2021 , pp. 726 - 737
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Copyright
Copyright © The Royal Institute of Navigation 2021

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References

Al Reesi, H., Freeman, J., Davey, J., Al Adawi, S. and Al Maniri, A. (2018). Measuring risky driving behaviours among young drivers: Development of a scale for the Oman setting. Transportation Research Part F: Traffic Psychology and Behaviour, 55, 78–89.10.1016/j.trf.2018.02.030CrossRefGoogle Scholar
Atombo, C., Wu, C., Zhong, M. and Zhang, H. (2016). Investigating the motivational factors influencing drivers’ intentions to unsafe driving behaviours: Speeding and overtaking violations. Transportation Research Part F: Traffic Psychology and Behaviour, 43, 104–121. doi:10.1016/j.trf.2016.09.029.CrossRefGoogle Scholar
Atombo, C., Wu, C., Tettehfio, E. O. and Agbo, A. A. (2017). Personality, socioeconomic status, attitude, intention and risky driving behavior. Cogent Psychology, 4(1), 1376424.10.1080/23311908.2017.1376424CrossRefGoogle Scholar
Bates, L. and Anderson, L. (2019). Young drivers, deterrence theory, and punishment avoidance: A qualitative exploration. Policing: A Journal of Policy and Practice, paz075, https://doi.org/10.1093/police/paz075CrossRefGoogle Scholar
Bates, L., Anderson, L., Rodwell, D. and Blais, E. (2020). A qualitative study of young drivers and deterrence based road policing. Transportation Research Part F: Traffic Psychology and Behaviour, 71, 110–118.10.1016/j.trf.2020.04.003CrossRefGoogle Scholar
Breen, J. M., Næss, P. A., Hansen, T. B., Gaarder, C. and Stray-Pedersen, A. (2020). Serious motor vehicle collisions involving young drivers on Norwegian roads 2013–2016: Speeding and driver-related errors are the main challenge. Traffic Injury Prevention, 21, 382–388.10.1080/15389588.2020.1770237CrossRefGoogle ScholarPubMed
Brookland, R., Begg, D., Langley, J. and Ameratunga, S. (2008). Parent and adolescent risky driving behaviours: New Zealand drivers study. Australasian College of Road Safety Journal, 20, 52–59.Google Scholar
Çelik, H. E. and Yilmaz, V. (2006). Risky driving attitudes and self-reported traffic violations among Turkish drivers : The case of Eskişehir. Doğuş Üniversitesi Dergisi, 1(7), 127–138. doi:10.31671/dogus.2019.267.Google Scholar
Cestac, J., Paran, F. and Delhomme, P. (2011). Young drivers’ sensation seeking, subjective norms, and perceived behavioral control and their roles in predicting speeding intention: How risk-taking motivations evolve with gender and driving experience. Safety Science, 49(3), 424–432.10.1016/j.ssci.2010.10.007CrossRefGoogle Scholar
Chen, T., Sze, N. N., Saxena, S., Pinjari, A. R., Bhat, C. R. and Bai, L. (2020). Evaluation of penalty and enforcement strategies to combat speeding offences among professional drivers: A Hong Kong stated preference experiment. Accident Analysis & Prevention, 135, 105366.10.1016/j.aap.2019.105366CrossRefGoogle ScholarPubMed
Chevalier, A., Coxon, K., Rogers, K., Chevalier, A. J., Wall, J., Brown, J., Clarke, E., Ivers, R. and Keay, L. (2017). Predictors of older drivers’ involvement in high-range speeding behavior. Traffic Injury Prevention, 18(2), 124–131.10.1080/15389588.2016.1225297CrossRefGoogle ScholarPubMed
Cull, A. W., Porter, M. M., Nakagawa, S., Smith, G. A., Rapoport, M. J., Marshall, S. C., Bédard, M., Tuokko, H., Vrkljan, B. and Naglie, G. (2020). Speeding and speed modification of older drivers: Does vehicle type make a difference? Canadian Journal on Aging/La Revue Canadienne du Vieillissement, 39(3), 385–392.10.1017/S0714980819000394CrossRefGoogle Scholar
De Pelsmacker, P. and Janssens, W. (2007). The effect of norms, attitudes and habits on speeding behavior: Scale development and model building and estimation. Accident Analysis & Prevention, 39(1), 6–15.10.1016/j.aap.2006.05.011CrossRefGoogle ScholarPubMed
Disassa, A. and Kebu, H. (2019). Psychosocial factors as predictors of risky driving behavior and accident involvement among drivers in Oromia Region, Ethiopia. Heliyon, 5(6), e01876.10.1016/j.heliyon.2019.e01876CrossRefGoogle ScholarPubMed
Eckel, C. C. and Grossman, P. J. (2008). Men, women and risk aversion: Experimental evidence. Handbook of Experimental Economics Results (ed. C. R. Plott and V. L. Smith), North-Holland, Amsterdam, 1, 1061–1073.10.1016/S1574-0722(07)00113-8CrossRefGoogle Scholar
Eisenhauer, J. G. and Ventura, L. (2003). Survey measures of risk aversion and prudence. Applied Economics, 35(13), 1477–1484.10.1080/0003684032000151287CrossRefGoogle Scholar
Fancello, G., Daga, M., Serra, P., Fadda, P., Pau, M., Arippa, F. and Medda, A. (2020). An experimental analysis on driving behaviour for professional bus drivers. Transportation Research Procedia, 45, 779–786.10.1016/j.trpro.2020.02.095CrossRefGoogle Scholar
Fleiter, J. J., Watson, B. C., Lennon, A. J., King, M. J. and Shi, K. (2009). Speeding in Australia and China: A Comparison of the Influence of Legal Sanctions and Enforcement Practices on car Drivers. Proceedings of the 2009 Australasian Road Safety Research, Policing and Education Conference: Smarter, Safer Directions.Google Scholar
Hatfield, J. and Fernandes, R. (2009). The role of risk-propensity in the risky driving of younger drivers. Accident Analysis & Prevention, 41(1), 25–35.10.1016/j.aap.2008.08.023CrossRefGoogle ScholarPubMed
Hatfield, J. and Job, R. F. S. (2006). Beliefs and attitudes about speeding and its countermeasures. Australian Transport Safety Bureau, Report B2001/0342. Sidney, Australia: University of Sidney, 1–98.Google Scholar
Jovanović, D., Šraml, M., Matović, B. and Mićić, S. (2017). An examination of the construct and predictive validity of the self-reported speeding behavior model. Accident Analysis & Prevention, 99, 66–76.10.1016/j.aap.2016.11.015CrossRefGoogle ScholarPubMed
Kominfo. (2017). Rata-rata Tiga Orang Meninggal Setiap Jam Akibat Kecelakaan Jalan. Available at: https://kominfo.go.id/index.php/content/detail/10368/rata-rata-tiga-orang-meninggal-setiap-jam-akibat-kecelakaan-jalan/0/artikel_gprGoogle Scholar
Li, P., Shi, J., Liu, X. and Wang, H. (2016). The theory of planned behavior and competitive driving in China. Procedia Engineering, 137, 362–371.10.1016/j.proeng.2016.01.270CrossRefGoogle Scholar
Machado-León, J. L., de Oña, J., de Oña, R., Eboli, L. and Mazzulla, G. (2016). Socio-economic and driving experience factors affecting drivers’ perceptions of traffic crash risk. Transportation Research Part F: Traffic Psychology and Behaviour, 37, 41–51.10.1016/j.trf.2015.11.010CrossRefGoogle Scholar
Maulana, R. (2019). Kecelakaan di Jalan Tol Cikopo—Palimanan Terus Berkurang. Available at: https://ekonomi.bisnis.com/read/20190828/45/1141773/kecelakaan-di-jalan-tol-cikopopalimanan-terus-berkurangGoogle Scholar
Mehmood, A. (2009). Determinants of speeding behavior of drivers in Al Ain (United Arab Emirates). Journal of Transportation Engineering, 135(10), 721–729.10.1061/(ASCE)TE.1943-5436.0000049CrossRefGoogle Scholar
Mohamad, F. F., Abdullah, A. S., Mohamad, J. and Karim, M. R. (2018). Understanding of speed behaviour in relation to road traffic accident: A comparison between Malaysian and Vietnamese drivers. Malaysian Journal of Civil Engineering, 30(1), 23–36. doi:10.11113/mjce.v30.165.CrossRefGoogle Scholar
Møller, M. and Haustein, S. (2014). Peer influence on speeding behaviour among male drivers aged 18 and 28. Accident Analysis & Prevention, 64, 92–99.10.1016/j.aap.2013.11.009CrossRefGoogle ScholarPubMed
Niu, S. F., Liu, Y. J., Wang, L. and Li, H. Q. (2019). Effects of different intervention methods on novice drivers’ speeding. Sustainability, 11(4), 1168.10.3390/su11041168CrossRefGoogle Scholar
Osborne, J. W. (2000). Advantages of hierarchical linear modeling. Practical Assessment, Research, and Evaluation, 7(1), 1.Google Scholar
Peng, Y., Zhu, Q., Wang, B. and Ren, J. (2020). A cross-sectional study on interference control: Age affects reactive control but not proactive control. PeerJ, 8, e8365.10.7717/peerj.8365CrossRefGoogle Scholar
Priatna, N. U. (2020). Analisis Faktor-Faktor Perilaku Speeding di Jalan Tol di Indonesia. Yogyakarta: Universitas Gadjah Mada.Google Scholar
Tekeş, B., Erkuş, U. and Lajunen, T. (2019). Does the group membership shape evaluations on other drivers? The role of symbolic cues in traffic. Transportation Research Part F: Traffic Psychology and Behaviour, 63, 216–225.10.1016/j.trf.2019.04.016CrossRefGoogle Scholar
Trinh, T. A. and Vo, T. T. A. (2016). Evaluating the powerful prediction of integrated behavioral model for risky road behaviors. Procedia Engineering, 142, 71–78.10.1016/j.proeng.2016.02.015CrossRefGoogle Scholar
Truelove, V., Freeman, J., Szogi, E., Kaye, S., Davey, J. and Armstrong, K. (2017). Beyond the threat of legal sanctions: What deters speeding behaviours? Transportation Research Part F: Traffic Psychology and Behaviour, 50, 128–136. doi:10.1016/j.trf.2017.08.008.CrossRefGoogle Scholar
Tudor-Owen, J. (2019). The importance of ‘Blue Shirts’ in traffic policing. Policing: A Journal of Policy and Practice, paz012, https://doi.org/10.1093/police/paz012Google Scholar
World Bank. (2018). Road Deaths and Injuries Hold Back Economic Growth in Developing Countries. Available at: https://www.worldbank.org/en/news/press-release/2018/01/09/road-deaths-and-injuries-hold-back-economic-growth-in-developing-countriesGoogle Scholar
Zhao, D., Han, F., Meng, M., Ma, J. and Yang, Q. (2019). Exploring the influence of traffic enforcement on speeding behavior on low-speed limit roads. Advances in Mechanical Engineering, 11(12). doi:1687814019891572.CrossRefGoogle Scholar