Exploring e-scooter riders’ risky behaviour: survey, observation, and interview study

This study explores e-scooter riders' risky behaviour and motivation based on survey, observation, and interview studies. 192 responses from an online survey showed that e-scooter riders' behaviours are categorised into errors, violations, defensive behaviour, and proactive safety behaviour. Statistical analysis revealed significant differences in riding behaviour depending on riders' characteristics and usage patterns. Results from the observation and survey study showed a high frequency of risky behaviours such as not wearing a helmet, riding on the sidewalk against traffic flow, or riding while listening to music to be more representative. Interviews on motivation explained that those behaviours resulted from the trade-off riders found between risky behaviour and the benefits they gained regarding time or comfort. This study posits that the riders' behaviours are distinguished according to the riders' characteristics and usage patterns, as well as different motivational factors. Thus, various strategies should be applied to improve individuals' safety.

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Institutions

Publication Details

Journal
Ergonomics
Published
2024-09-28
DOI
https://doi.org/10.1080/00140139.2024.2409302
Citations
7
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
4.78

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article

Exploring e-scooter riders’ risky behaviour: survey, observation, and interview study

Sol Hee Yoon, Seul Chan Lee, Young Woo Kim
7 citations
Ergonomics
Urban Transport and Accessibility
4.78
article

Exploring e-scooter riders’ risky behaviour: survey, observation, and interview study

Sol Hee Yoon, Seul Chan Lee, Young Woo Kim
article en
7 citations

Abstract

This study explores e-scooter riders' risky behaviour and motivation based on survey, observation, and interview studies. 192 responses from an online survey showed that e-scooter riders' behaviours are categorised into errors, violations, defensive behaviour, and proactive safety behaviour. Statistical analysis revealed significant differences in riding behaviour depending on riders' characteristics and usage patterns. Results from the observation and survey study showed a high frequency of risky behaviours such as not wearing a helmet, riding on the sidewalk against traffic flow, or riding while listening to music to be more representative. Interviews on motivation explained that those behaviours resulted from the trade-off riders found between risky behaviour and the benefits they gained regarding time or comfort. This study posits that the riders' behaviours are distinguished according to the riders' characteristics and usage patterns, as well as different motivational factors. Thus, various strategies should be applied to improve individuals' safety.

ErgonomicsVol. 68(9)
Seoul National University of Science and Technology (KR), Gyeongsang National University (KR), Human Computer Interaction (Switzerland) (CH), Hanyang University (KR)
Seoul National University of Science and Technology
Openalex Percentile: Top 6%
Urban Transport and Accessibility
4.78
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