Cross-national traffic safety survey; Driver distraction; ESRA; Mobile phone use while driving; Socio-cognitive constructs; Theory of planned behaviour (TPB); Traffic safety culture; Cross-national; Driver distractions; Mobile phone use; Socio-cognitive construct; Sociocognitive; Theory of planned behavior; Traffic safety; Traffic safety cultures; Transportation; Engineering (all); Safety Research; Urban Studies
Abstract :
[en] This study investigates cross-national differences in Traffic Safety Culture (TSC) by examining self-reported mobile phone use while driving across 31 countries. Using data from the third edition of the E-Survey of Road Users' Attitudes (ESRA3), collected in 2023, this research explores how socio-cognitive constructs, including norms, perceived behavioural control (PBC), attitude, and intention, influence drivers' mobile phone use while driving. Linear regression models are applied at both cross-national and national levels to understand the predictive strength of these constructs. Results indicate that socio-cognitive beliefs significantly explain variations in self-reported mobile phone use while driving, accounting for 37–63 % of the observed variance. Norms emerge as the strongest predictor, followed by PBC, attitude, and intention, with substantial differences in effect size across countries. These findings underscore the role of cultural and psychological factors in shaping unsafe driving behaviours, offering insights for tailored interventions that address specific socio-cognitive aspects of high-risk drivers, which can be used to design road safety campaigns or education programs more effectively.
Disciplines :
Sociology & social sciences
Author, co-author :
Meesmann, Uta ; Université de Liège - ULiège > Urban and Environmental Engineering ; Vias institute, Brussels, Belgium
Pires, Carlos; Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), University of Coimbra, Coimbra, Portugal
Wardenier, Naomi; Vias institute, Brussels, Belgium
Cools, Mario ; Université de Liège - ULiège > Département ArGEnCo > Transports et mobilité ; Hasselt University, Faculty of Business Economics, Diepenbeek, Belgium ; KULeuven Campus Brussels, Educational Centre for Mathematics, Education, Econometrics and Statistics, Brussels, Belgium
Language :
English
Title :
Exploring cross-national variations in traffic safety culture: Insights into mobile phone use and shared beliefs across 31 countries
Université Gustave Eiffel NTUA - National Technical University of Athens BASt - Bundesanstalt für Straßenwesen DTU - Danmarks Tekniske Universitet TIRF - The International Research Foundation for English Language Education
Funding text :
The authors would like to thank all 28 ESRA3 partners for supporting and funding the ESRA3 data collection across 39 countries in 2023. Special thanks go to all ESRA3 steering group partners \u2013 BASt (Germany), DTU (Denmark), IATSS (Japan), University Gustave Eiffel (France), ITS (Poland), KFV (Austria), NTUA (Greece), PRP (Portugal), SWOV (the Netherlands), and TIRF (Canada) - for their contributions to the development and conduction of the ESRA3 survey, as well as to Vias institute for coordinating the ESRA3 survey and the overall ESRA initiative. ESRA is funded through the contributions of the partner organisations, either from their own resources or from sponsors. Part of the funding for Vias institute, which is coordinating the ESRA initiative, is provided by the Belgian Federal Public Service Mobility & Transport.
World Health Organization, Global Status Report on Road Safety 2023, Licence: CC BY-NC-SA 3.0 IGO. https://iris.who.int/bitstream/handle/10665/375016/9789240086517-eng.pdf?sequence=1, 2023.
World Health Organization Regional Office for the Eastern Mediterranean, Documenting Road Safety: A Guide for Governments and Lead Agencies. https://applications.emro.who.int/docs/9789292740320-eng.pdf, 2022.
European Commission, Road Safety Thematic Report – Distraction. 2023, European Road Safety Observatory, European Commission, Directorate General for Transport https://road-safety.transport.ec.europa.eu/system/files/2024-01/ERSO-TR-Distraction_2023-12-19.pdf.
Areal, A., Pires, C., Pita, R., Marques, P., Trigoso, J., Distraction (Mobile Phone Use) & Fatigue. ESRA3 Thematic report Nr. 3., ESRA Project (E-Survey of Road users' Attitudes). https://www.esranet.eu/storage/minisites/esra2023thematicreportno3distractionandfatigue.pdf, 2024.
Stockholm Declaration, Third Global Ministerial Conference on Road Safety: Achieving Global Goals 2030. 2020, World Health Organization https://www.roadsafetysweden.com/contentassets/b37f0951c837443eb9661668d5be439e/stockholm-declaration-english.pdf.
Ward, N.J., Watson, B., Fleming-Vogl, K., Traffic Safety Culture: Definition, Foundation, and Application. 2019, Emerald Group Publishing.
Edwards, J., Freeman, J., Soole, D., Watson, B., A framework for conceptualising traffic safety culture. Transp. Res. F 26 (2014), 293–302, 10.1016/j.trf.2014.03.002.
Geertz, C., The Interpretation of Cultures. 1973, Basic Books, New York.
Keesing, R.M., Theories of culture. Ann. Rev. Anthropol. 3 (1974), 73–97.
Haukelid, K., Theories of (safety) culture revisited—an anthropological approach. Safety Science 46 (2008), 413–426, 10.1016/j.ssci.2007.05.014.
Hofstede, G., Dimensionalizing cultures: the Hofstede model in context. Online Read Psychol Cult, 2, 2011, 10.9707/2307-0919.1014.
Schwartz, S.H., Les valeurs de base de la personne : théorie, mesures et applications. Rev. Fr. Sociol. 47 (2006), 929–968, 10.3917/rfs.474.0929.
House, R.J., Hanges, P.J., Mansour, J., Dorfman, P.W., Gupta, V., (eds.) Culture, Leadership, and Organizations: The GLOBE Study of 62 Societies, 2004, SAGE Publications, Thousand Oaks.
Malhotra, N.K., McCort, J.D., A cross-cultural comparison of behavioral intention models - theoretical consideration and an empirical investigation. Int. Mark. Rev. 18 (2001), 235–269, 10.1108/02651330110396505.
Van den Berghe, W., Schachner, M., Sgarra, V., Christie, N., The association between national culture, road safety performance and support for policy measures. IATSS Res. 44 (2020), 197–211, 10.1016/j.iatssr.2020.09.002.
Granie, M.-A., Thevenet, C., Varet, F., Evennou, M., Oulid-Azouz, N., Lyon, C., Meesmann, U., Robertson, R., Torfs, K., Vanlaar, W., Woods-Fry, H., Van den Berghe, W., Effect of culture on gender differences in risky driver behavior through comparative analysis of 32 countries. Transp. Res. Rec. 2675 (2021), 274–287, 10.1177/0361198120970525.
Zou, X., Tam, K.-P., Morris, M.W., Lee, S., Lau, I.Y.-M., Chiu, C., Culture as common sense: perceived consensus versus personal beliefs as mechanisms of cultural influence. J. Pers. Soc. Psychol. 97 (2009), 579–597, 10.1037/a0016399.
Kirwan, B., Devine, J., Safety Culture in Air Traffic Management - A White Paper. 2008, 10.13140/RG.2.2.31075.84008.
Bernard, B., Regulating nuclear safety through safety culture. J. Saf. Sci. Resil. 2 (2021), 172–178, 10.1016/j.jnlssr.2021.08.001.
Nævestad, T.-O., Bjørnskau, T., How can the safety culture perspective be applied to road traffic?. Transp. Rev. 32 (2012), 139–154, 10.1080/01441647.2011.628131.
Jahoda, G., Critical comments on experimental, discursive, and general social psychology. J. Theory Soc. Behav. 43 (2012), 341–360, 10.1111/j.1468-5914.2012.00497.x.
Ajzen, I., The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50 (1991), 179–211, 10.1016/0749-5978(91)90020-T.
Rosenstock, I.M., The health belief model and preventive health behavior. Health Educ. Monogr. 2 (1974), 354–386, 10.1177/109019817400200405.
Rogers, R.W., A protection motivation theory of fear appeals and attitude change. J. Psychol. 91 (1975), 93–114, 10.1080/00223980.1975.9915803.
Fishbein, M., Ajzen, I., Predicting and Changing Behavior: The Reasoned Action Approach. 2010, Psychology Press, New York, 10.4324/9780203838020.
Gerrard, M., Gibbons, F.X., Houlihan, A.E., Stock, M.L., Pomery, E.A., A dual-process approach to health risk decision making: the prototype willingness model. Dev. Rev. 28 (2008), 29–61, 10.1016/j.dr.2007.10.001.
Stern, P.C., Dietz, T., Abel, T., Guagnano, G.A., Kalof, L., A value-belief-norm theory of support for social movements: the case of environmentalism. Hum. Ecol. Rev. 6 (1999), 81–97.
Ajzen, I., The theory of planned behavior: frequently asked questions. Hum. Behav. Emerg. Technol. 2 (2020), 314–324, 10.1002/hbe2.195.
Hai, D.N., Minh, C.C., Huynh, N., Meta-analysis of driving behavior studies and assessment of factors using structural equation modeling, international journal of transportation. Sci. Technol. 14 (2024), 219–236, 10.1016/j.ijtst.2023.05.002.
Somoray, K., White, K.M., Watson, B., Lewis, I., Predicting risky driving behaviours using the theory of planned behaviour: a meta-analysis. Accid. Anal. Prevent., 208, 2024, 107797, 10.1016/j.aap.2024.107797.
Salomón, T., Gimenez, P., Conde, K., Peltzer, R., Cremonte, M., The theory of planned behavior and driving under the influence of alcohol: a scoping review. Adv. Transp. Stud., 60, 2023, 49, 10.53136/97912218074244.
Moan, I.S., Rise, J., Predicting intentions not to “drink and drive” using an extended version of the theory of planned behaviour. Accid. Anal. Prevent. 43 (2011), 1378–1384, 10.1016/j.aap.2011.02.012.
Chan, D.C.N., Wu, A.M.S., Hung, E.P.W., Invulnerability and the intention to drink and drive: an application of the theory of planned behavior. Accid. Anal. Prevent. 42 (2010), 1549–1555, 10.1016/j.aap.2010.03.011.
Ding, Y., Zhao, X., Wu, Y., Zhang, X., He, C., Liu, S., How psychological factors affect speeding behavior: analysis based on an extended theory of planned behavior in a Chinese sample. Transp. Res. F 93 (2023), 143–158, 10.1016/j.trf.2023.01.003.
Elliott, M.A., Armitage, C.J., Baughan, C.J., Drivers’ compliance with speed limits: an application of the theory of planned behavior. J. Appl. Psychol. 88 (2003), 964–972, 10.1037/0021-9010.88.5.964.
Paris, H., Van den Broucke, S., Measuring cognitive determinants of speeding: an application of the theory of planned behaviour. Transport. Res. F 11 (2008), 168–180, 10.1016/j.trf.2007.09.002.
Sullman, M.J.M., Hill, T., Stephens, A.N., Predicting intentions to text and call while driving using the theory of planned behaviour. Transp. Res. F 58 (2018), 405–413, 10.1016/j.trf.2018.05.002.
Okati-Aliabad, H., Hashemi Habybabady, R., Sabouri, M., Mohammadi, M., Different types of mobile phone use while driving and influencing factors on intention and behavior: insights from an expanded theory of planned behavior. PloS One, 19, 2024, e0300158, 10.1371/journal.pone.0300158.
Eijigu, T.D., Mobile phone use intention while driving among public service vehicle drivers: magnitude and its social and cognitive determinants. PloS One, 16, 2021, e0251007, 10.1371/journal.pone.0251007.
Phuksuksakul, N., Kanitpong, K., Chantranuwathana, S., Factors affecting behavior of mobile phone use while driving and effect of mobile phone use on driving performance. Accid. Anal. Prev., 151, 2021, 105945, 10.1016/j.aap.2020.105945.
Vanlaar, W., Yannis, G., Perception of road accident causes. Accid. Anal. Prevent. 38 (2006), 155–161, 10.1016/j.aap.2005.08.007.
Cestac, J., Delhomme, P., European Road Users' Risk Perception and Mobility. The SARTRE 4 Survey, SARTRE 4. https://www.diva-portal.org/smash/get/diva2:674162/FULLTEXT02, 2012.
AAA Foundation for Traffic Safety, 2022 Traffic Safety Culture Index. https://aaafoundation.org/wp-content/uploads/2023/09/202311-AAAFTS-Traffic-Safety-Culture-Index-2022.pdf, 2023.
Torfs, K., Meesmann, U., Van den Berghe, W., Trotta, M., ESRA 2015 – The Results. Synthesis of the Main Findings From the ESRA Survey in 17 Countries. ESRA Project (European Survey of Road users’ safety Attitudes), (2016-R-05- EN). 2016, Belgian Road Safety Institute https://www.vias.be/publications/ESRA%202015%20Results/ESRA%202015%20Results.pdf.
Meesmann, U., Wardenier, N., Torfs, K., Pires, C., Delannoy, S., Van den Berghe, W., A Global Look at Road Safety: Synthesis from the ESRA2 Survey in 48 Countries, (2022-R-12-EN). 2022, Vias Institute https://www.esranet.eu/storage/minisites/esra2-main-report-def.pdf.
Meesmann, U., Wardenier, N., ESRA3 Methodology. ESRA3 Thematic Report Nr. 1. Version 1.0. ESRA Project (E-Survey of Road Users’ Attitudes)., (2024 – R – 09 – EN). 2024, Vias Institute https://www.esranet.eu/storage/minisites/esra3-methodology-report.pdf.
Pires, C., Torfs, K., Areal, A., Goldenbeld, C., Vanlaar, W., Granié, M.-A., Stürmer, Y.A., Usami, D.S., Kaiser, S., Jankowska-Karpa, D., Nikolaou, D., Holte, H., Kakinuma, T., Trigoso, J., Van den Berghe, W., Meesmann, U., Car drivers’ road safety performance: a benchmark across 32 countries. IATSS Res. 44 (2020), 166–179, 10.1016/j.iatssr.2020.08.002.
Nordfjærn, T., Jørgensen, S., Rundmo, T., A cross-cultural comparison of road traffic risk perceptions, attitudes towards traffic safety and driver behaviour. J. Risk Res. 14 (2011), 657–684, 10.1080/13669877.2010.547259.
Nießen, D., Partsch, M.V., Kemper, C.J., Rammstedt, B., An English-Language Adaptation of the Social Desirability–Gamma Short Scale (KSE-G), Measurement Instruments for the Social Sciences. 1, 2019, 1–10, 10.1186/s42409-018-0005-1.
Meesmann, U., Torfs, K., Cools, M., Socio-cognitive factors in road safety monitoring – cross-national comparison of driving under the influence of alcohol, drugs or medication. IATSS Res. 44 (2020), 180–187, 10.1016/j.iatssr.2020.09.004.
European Commission, Commission Staff Working Document - EU Road Safety Policy Framework 2021–2030 - Next steps towards “Vision Zero” SWD. 283 final, 2019 https://data.europa.eu/doi/10.2832/391271, 2019.
United Nations Statistics Division, UNData. Population by Age, Sex and Urban/Rural Residence. http://data.un.org/Data.aspx?d=POP&f=tableCode%3A22, 2023.
ESRA, ESRA3 Web Page. https://www.esranet.eu/, 2024. (Accessed 25 October 2024)
IBM Corp, IBM SPSS Statistics for Windows, v29.0 (Version 29.0). 2022.
R Core Team, R: A Language and Environment for Statistical Computing, v4.3.2 (Version 4.3.2). https://www.r-project.org/, 2023.
Wickham, H., Ggplot2: Elegant Graphics for Data Analysis. 2016, Springer-Verlag, New York https://ggplot2.tidyverse.org/.
The World Bank Group, World Bank Open Data. Free and open access to global development data. https://data.worldbank.org/, 2023. (Accessed 23 October 2023)
Pan, Y., Jackson, R.T., Ethnographic studies in multinational corporations. Marschan-Piekkari, R., Welch, C., (eds.) Handbook of Qualitative Research Methods for International Business, 2008, Edward Elgar Publishing, 231–252.
Allison, P.D., Multiple regression: A primer. 1999, Pine Forge Press, Thousand Oaks.
Armitage, C.J., Conner, M., Efficacy of the theory of planned behaviour: a meta-analytic review. Br. J. Soc. Psychol. 40 (2001), 471–499, 10.1348/014466601164939.
Delhomme, P., De Dobbeleer, W., Forward, S., Simões, A., (eds.) Manual for Designing, 2009, Implementing and Evaluating Road Safety Communication Campaigns, Belgian Road Safety Institute (IBSR-BIVV), Brussels, Belgium https://www.vias.be/storage/main/cast-manual-final.pdf.
Department for Transport, United Kingdom, Mates matter, https://www.think.gov.uk/campaign/a-mate-doesnt-let-a-mate-drive/, 2018. (Accessed 25 April 2025)
Watsford, R., The success of the pinkie campaign ‘speeding. No one thinks big of you’: a new approach to road safety marketing. in, 2008, 390–395 https://www.acrs.org.au/files/papers/33%20Watsford%20The%20success%20of%20the%20pinkie%20campaign.pdf.
Vias academy, Actions that change behaviour, https://www.vias-academy.be/index.php, 2025. (Accessed 25 April 2025)
Stelling-Kończak, A., Goldenbeld, Ch., van Schagen, I.N.L.G., Handhaving van het verbod op handheld telefoongebruik. 2020, Een kijkje in de keuken van Nederland en andere landen, SWOV, Den Haag https://swov.nl/system/files/publication-downloads/r-2020-23.pdf.
Vandael Schreurs, K., Dusabe, E., J.-F., Gaillet, GSM-detectie door intelligent camerasysteem – Proefproject. (internal report), 2021, Vias institute.
Vias institute, Briefing “Geavanceerde rijhulpsystemen”. 2022, Vias institute https://briefings.vias.be/storage/minisites/briefing-geavanceerde-rijhulpsystemen.pdf.
Elvik, R., Høye, A., Vaa, T., Sørensen, M., The Handbook of Road Safety Measures. 2009, Emerald Group Publishing Limited, 10.1108/9781848552517.
Noella, K., Implementation of Rumble Strips at Centreline, European Road Safety Decision Support System, Developed by the H2020 Project SafetyCube. https://roadsafety-dss.eu/assets/data/pdf/synopses/Implementation_of_rumble_strips_at_centerline_14062017.pdf, 2017.
Rajesh, R., Srinath, R., Sasikumar, R., Subin, B., Modeling safety risk perception due to mobile phone distraction among four wheeler drivers. IATSS Res. 41 (2017), 30–37, 10.1016/j.iatssr.2016.08.002.
Cuentas-Hernandez, S., Li, X., King, M.J., Lewis, I., Oviedo-Trespalacios, O., Driven to distraction: a systematic literature review on the role of the driving context in mobile phone use. Transp. Res. F 106 (2024), 215–243, 10.1016/j.trf.2024.08.006.
Delgado, M.K., Wanner, K.J., McDonald, C., Adolescent cellphone use while driving: an overview of the literature and promising future directions for prevention. Media Commun. 4 (2016), 79–89, 10.17645/mac.v4i3.536.
Vias Institute, Switzerland – ESRA3 Country Fact Sheet. ESRA3 survey (E-Survey of Road Users’ Attitudes). Version 2 (01/2024). https://www.esranet.eu/storage/minisites/esra2023countryfactsheetswitzerland.pdf, 2023.
Vias institute, Greece – ESRA3 Country Fact Sheet. ESRA3 survey (E-Survey of Road users’ Attitudes). Version 2 (01/2024). https://www.esranet.eu/storage/minisites/esra2023countryfactsheetgreece.pdf, 2023.
OECD, OECD Data Explorer. https://data-explorer.oecd.org/, 2025 (accessed April 25, 2025).
CARE, CARE database. https://road-safety.transport.ec.europa.eu/european-road-safety-observatory/methodology-and-research/care-database_en, 2023.
Watling, C., Leal, N., Exploring perceived legitimacy of traffic law enforcement. Senserrick, T., (eds.) Proceedings of the 2012 Australasian College of Road Safety National Conference, 2012, Australasian College of Road Safety, Australia, 1–13 https://eprints.qut.edu.au/53083/.
Lajunen, T., Corry, A., Summala, H., Hartley, L., Impression management and self-deception in traffic behaviour inventories. Personal. Individ. Differ. 22 (1997), 341–353, 10.1016/S0191-8869(96)00221-8.
Tellis, G.J., Chandrasekaran, D., Does Culture Matter? Assessing Response Biases in Cross-National Survey Research, International Journal of Research in Marketing, Forthcoming, Marshall School of Business Working Paper No. MKT 19-10. https://ssrn.com/abstract=1659911, 2010.
Granié, M.-A., Thévenet, C., Evennou, M., Lyon, C., Vanlaar, W., Gender Issues. ESRA2 Thematic Report Nr. 13. ESRA project (E-Survey of Road Users’ Attitudes). 2020, Université Gustave Eiffel https://www.esranet.eu/storage/minisites/esra2018thematicreportno13genderissues.pdf.
Boets, S., Baseline Report on the KPI Distraction. 2023, Baseline project, Vias institute https://www.baseline.vias.be/storage/minisites/baseline-kpi-distraction.pdf.
Hallett, C., Lambert, A., Regan, M.A., Text messaging amongst New Zealand drivers: prevalence and risk perception. Transp. Res. F 15 (2012), 261–271, 10.1016/j.trf.2011.12.002.
Young, K.L., Lenné, M.G., Driver engagement in distracting activities and the strategies used to minimise risk. Saf. Sci. 48 (2010), 326–332, 10.1016/j.ssci.2009.10.008.
Oviedo-Trespalacios, O., King, M., Haque, Md.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, 2017, e0183361, 10.1371/journal.pone.0183361.
Shi, J., Xiao, Y., Atchley, P., Analysis of factors affecting drivers’ choice to engage with a mobile phone while driving in Beijing. Transp. Res. F 37 (2016), 1–9, 10.1016/j.trf.2015.12.003.