Building An E-Scooter Safety Culture: Temporal-Situational Crash Profiles and Data-System Readiness in Serbia

  • Miloš Pljakić University of Priština in Kosovska Mitrovica, Faculty of Technical Sciences, Kosovska Mitrovica, Serbia
  • Predrag Stanojević University of Priština in Kosovska Mitrovica, Faculty of Technical Sciences, Kosovska Mitrovica, Serbia
Keywords: E-scooters; Traffic safety culture; Crash profiles; Micromobility

Abstract

E-scooter safety is framed as a problem of injury severity or infrastructure, although persistent risk-taking also reflects the norms and practices through which a new mode is integrated into traffic. This study examines what police-reported crash patterns can—and cannot—reveal about e-scooter safety culture in Serbia. The national database contained 282 crashes recorded between 22 July 2023 and 26 December 2025; the primary analysis used 243 crashes from the complete calendar years 2024–2025. Temporal, seasonal and site variables were analysed descriptively and by multiple correspondence analysis followed by Ward clustering. Crash severity and year were excluded from clustering and compared between profiles. The database was also audited against behaviour and compliance domains identified in the literature and Serbian regulation. Three profiles emerged: weekday warm-season mobility (50.6%), spring daytime mobility (27.2%) and weekend/night-time mobility (22.2%). KSI proportions ranged from 19.7% to 25.9% and did not differ between profiles. The audit found six directly available and two derivable indicators, while fourteen essential indicators—including helmet use, alcohol, speed, passenger carriage and vehicle conformity—were absent. Crash records can guide context-specific prevention, but direct monitoring of e-scooter safety culture requires standardised behavioural fields, exposure data, observational surveys and linkage with health records.

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References

[1] Asgharpour, S., Javadinasr, M., Mohammadian, A. K., Khan, N. A., & Auld, J. (2025). E-scooter safety: How attitudinal factors influence risky behavior among shared e-scooter riders. Transportation Research Part F: Traffic Psychology and Behaviour, 114, 758–779. doi:10.1016/j.trf.2025.06.015
[2] Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B, 57(1), 289–300. doi:10.1111/j.2517-6161.1995.tb02031.x
[3] Bjørnskau, T., Storesund Hesjevoll, I., Ingebrigtsen, R., Karlsen, K., Pokorny, P., Sundfør, H. B., Weyde, K. V., & Mjåland, O. (2025). What characterizes bicycle and e-scooter accidents not included in official accident statistics? Lessons learned from the ReCyCLIST project in Agder, Norway. Traffic Safety Research, 9, e000108. doi:10.55329/prfq7240
[4] Delavary, M., Lyon, C., Vanlaar, W., Robertson, R., Nikolaou, D., & Yannis, G. (2025). E-scooter riders: A cross-cultural analysis of traffic safety attitudes and behaviors. IATSS Research, 49(2), 247–258. doi:10.1016/j.iatssr.2025.05.002
[5] Department for Transport. (2023). Serious e-scooter casualties: Comparing police and hospital data. UK Government. https://www.gov.uk/government/statistics/serious-e-scooter-casualties-comparing-police-and-hospital-data
[6] Drimlová, E., Šucha, M., Rečka, K., Haworth, N., Fyhri, A., Wallgren, P., Silverans, P., & Slootmans, F. (2024). Attitudes towards e-scooter safety: A survey in five countries. Transactions on Transport Sciences, 15(3), 24–36. doi:10.5507/tots.2024.009
[7] Edwards, J., Freeman, J., Soole, D., & Watson, B. (2014). A framework for conceptualising traffic safety culture. Transportation Research Part F: Traffic Psychology and Behaviour, 26, 293–302. doi:10.1016/j.trf.2014.03.002
[8] European Commission. (2026). Road safety thematic report—Personal mobility devices. European Road Safety Observatory. https://road-safety.transport.ec.europa.eu/document/download/4000e43d-bb97-495e-8a80-880a3b8f324a_en
[9] George, A. M., & Brown, P. M. (2025). Risky e-scooter behaviours: The importance of descriptive norms and perceived behavioural control. Transportation Research Part F: Traffic Psychology and Behaviour, 115, 103350. doi:10.1016/j.trf.2025.103350
[10] Greenacre, M., & Blasius, J. (Eds.). (2006). Multiple correspondence analysis and related methods. Chapman & Hall/CRC.
[11] Haworth, N., Ssi Yan Kai, N., & Schramm, A. (2024). Understanding nonuse of mandatory e-scooter helmets. Traffic Injury Prevention, 25(5), 757–764. doi:10.1080/15389588.2024.2335677
[12] Janikian, G. S., Caird, J. K., Hagel, B., & Reay, G. (2024). A scoping review of e-scooter safety: Delightful urban slalom or injury epidemic? Transportation Research Part F: Traffic Psychology and Behaviour, 101, 33–58. doi:10.1016/j.trf.2023.12.015
[13] Kazemzadeh, K., Haghani, M., & Sprei, F. (2023). Electric scooter safety: An integrative review of evidence from transport and medical research domains. Sustainable Cities and Society, 89, 104313. doi:10.1016/j.scs.2022.104313
[14] Mehranfar, V., & Jones, C. (2024). Exploring implications and current practices in e-scooter safety: A systematic review. Transportation Research Part F: Traffic Psychology and Behaviour, 107, 321–382. doi:10.1016/j.trf.2024.09.004
[15] Nævestad, T.-O., & Bjørnskau, T. (2012). How can the safety culture perspective be applied to road traffic? Transport Reviews, 32(2), 139–154. doi:10.1080/01441647.2011.628131
[16] Nævestad, T.-O., Meesmann, U., Wallén Warner, H., Kaiser, S., Hesjevoll, I. S., Milch, V., Forward, S., De Roeck, M., Schachner, M., Nikolaou, D., Björklund, G., Laiou, A., Wennberg, H., Aigner-Breuss, E., & Eichhorn, A. (2026). Traffic safety culture within the Safe System: Developing a common definition of traffic safety culture. Frontiers in Sustainable Cities, 8, 1819840. doi:10.3389/frsc.2026.1819840
[17] Phipps, D. J., & Hamilton, K. (2024). Predicting undergraduates' willingness to engage in dangerous e-scooter use behaviors. Transportation Research Part F: Traffic Psychology and Behaviour, 103, 500–511. doi:10.1016/j.trf.2024.05.003
[18] Republic of Serbia. (2023). Law on amendments to the Road Traffic Safety Act. Official Gazette of the Republic of Serbia, No. 76/2023.
[19] Road Traffic Safety Agency of the Republic of Serbia. (2024). Notice on identification stickers for light electric vehicles. https://www.abs.gov.rs/rsl/arhiva/3053
[20] Šucha, M., Drimlová, E., Rečka, K., Haworth, N., Karlsen, K., Fyhri, A., Wallgren, P., Silverans, P., & Slootmans, F. (2023). E-scooter riders and pedestrians: Attitudes and interactions in five countries. Heliyon, 9(4), e15449. doi:10.1016/j.heliyon.2023.e15449
[21] Ventsislavova, P., Baguley, T., Antonio, V. E., & Byrne, M. (2024). E-scooters: Still the new kid on the transport block. Assessing e-scooter legislation knowledge and illegal riding behaviour. Accident Analysis & Prevention, 195, 107390. doi:10.1016/j.aap.2023.107390
[22] Ward, J. H., Jr. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236–244. doi:10.1080/01621459.1963.10500845
Published
2026-10-03
How to Cite
Pljakić, M., & Stanojević, P. (2026). Building An E-Scooter Safety Culture: Temporal-Situational Crash Profiles and Data-System Readiness in Serbia. Journal of Road and Traffic Engineering, 72(3), 9-14. https://doi.org/10.31075/PIS.72.03.02