A1 Journal article (refereed)
Predicting Undergraduates’ willingness to engage in dangerous e-scooter use behaviors (2024)


Phipps, D., & 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. https://doi.org/10.1016/j.trf.2024.05.003


JYU authors or editors


Publication details

All authors or editorsPhipps, Daniel, J.; Hamilton, Kyra

Journal or seriesTransportation Research Part F: Traffic Psychology and Behaviour

ISSN1369-8478

eISSN1873-5517

Publication year2024

Publication date09/05/2024

Volume103

Pages range500-511

PublisherElsevier

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.1016/j.trf.2024.05.003

Research data linkhttps://osf.io/qbtgh/

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/95110


Abstract

Introduction
The misuse of electronic scooters (e-scooters), particularly among young adults, is increasingly being linked to hospital admissions and injuries in cities across the globe. Yet, despite growing concern about dangerous e-scooter use, there remains a dearth of research on the determinants of engaging in risky behaviors while using an e-scooter.

Method
A sample of 262 Australian undergraduate students completed measures relating to the theory of planned behavior, risk perceptions, and knowledge of laws in the context of three e-scooter risk behaviors: riding over the speed limit on footpaths, riding without a helmet, and riding after consuming alcohol, as well as a risk identity implicit association test. Participants then recorded their willingness to engage in each of the three behaviors.

Results
The model predicted a modest portion of variance in willingness to engage in each of the three e-scooter risk behaviors. Subjective norm predicted all behaviors, while attitude, risk perceptions, and perceived behavioral control each predicted two of the three behaviors. Gender had a significant total effect on willingness for each behavior, partially mediated by the theory of planned behavior constructs, while knowledge of laws had minimal effects and only on helmet use.

Conclusions
Social cognition factors show promise in explaining willingness to engage in dangerous e-scooter use and may provide an important formative basis for future research and behavior change interventions to reduce such risky behaviors.


Keywordssocial cognitionrisk-taking behaviourrisk managementyoung adultskick scooterstraffic behaviourtraffic accidents

Free keywordse-scooters


Contributing organizations


Ministry reportingYes

Preliminary JUFO rating1


Last updated on 2024-23-05 at 10:41