Assessing hazard prediction and risk calibration skills in experienced and novice e-scooter riders

Ventsislavova, P ORCID: https://orcid.org/0000-0002-7095-8113, Harrison, L and Baguley, T ORCID: https://orcid.org/0000-0002-0477-2492, 2025. Assessing hazard prediction and risk calibration skills in experienced and novice e-scooter riders. Scientific Reports, 15: 3960. ISSN 2045-2322

Preview

Text 2365650_Petrova.pdf - Published version Download (2MB) | Preview

Abstract

Less experienced e-scooter riders often exhibit risky riding behaviours. Despite this, no studies have examined how riders calibrate risk, respond to hazardous situations, and the impact of riding experience on these skills. To address this, this study assessed hazard prediction and risk calibration in e-scooter riders via bespoke video-based tests featuring real e-scooter footage filmed from the rider’s perspective. The first experiment assessed the ability of e-scooter riders to predict hazardous riding scenarios. The second experiment evaluated their proneness to engage in risky riding situations. The results indicated that increased riding experience did not improve riders’ hazard prediction skills or reduced their proneness to engage in risky riding. In fact, a higher riding frequency was linked to an increased tendency to engage in risky behaviour in certain scenarios. The results highlight that the typically short duration of e-scooter trips may limit riders’ exposure to a variety of hazards, hindering their ability to develop effective risk calibration skills. The observed high propensity to engage in risky riding scenarios, combined with average hazard prediction scores, emphasizes the need for targeted rider training focused on vigilance and risk awareness.

Item Type:	Journal article
Publication Title:	Scientific Reports
Creators:	Ventsislavova, P., Harrison, L. and Baguley, T.
Publisher:	Springer Science and Business Media LLC
Date:	2025
Volume:	15
ISSN:	2045-2322
Identifiers:	Number Type 10.1038/s41598-025-87538-y DOI 2365650 Other
Rights:	© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Divisions:	Schools > School of Social Sciences
Record created by:	Melissa Cornwell
Date Added:	14 Feb 2025 15:13
Last Modified:	14 Feb 2025 15:13
URI:	https://irep.ntu.ac.uk/id/eprint/53046

Actions (login required)

Edit View

Statistics

Views

Downloads