Cited 1 time in
Exploring e-scooter riders' risky behaviour: survey, observation, and interview study
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Young Woo | - |
| dc.contributor.author | Lee, Seul Chan | - |
| dc.contributor.author | Yoon, Sol Hee | - |
| dc.date.accessioned | 2024-12-03T05:00:46Z | - |
| dc.date.available | 2024-12-03T05:00:46Z | - |
| dc.date.issued | 2024-09 | - |
| dc.identifier.issn | 0014-0139 | - |
| dc.identifier.issn | 1366-5847 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/74251 | - |
| dc.description.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. The study aims to explore e-scooter riders' behaviour based on riders' characteristics and usage patterns and understand the motivation behind those risky behaviours. An online survey and observation study identifies behaviour differences between riders and their frequency. The interview study analysed the motivation behind those behaviours. | - |
| dc.format.extent | 17 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Taylor & Francis | - |
| dc.title | Exploring e-scooter riders' risky behaviour: survey, observation, and interview study | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1080/00140139.2024.2409302 | - |
| dc.identifier.scopusid | 2-s2.0-85205227396 | - |
| dc.identifier.wosid | 001321378000001 | - |
| dc.identifier.bibliographicCitation | Ergonomics, v.68, no.9, pp 1371 - 1387 | - |
| dc.citation.title | Ergonomics | - |
| dc.citation.volume | 68 | - |
| dc.citation.number | 9 | - |
| dc.citation.startPage | 1371 | - |
| dc.citation.endPage | 1387 | - |
| dc.type.docType | Article; Early Access | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | ssci | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Psychology | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
| dc.relation.journalWebOfScienceCategory | Ergonomics | - |
| dc.relation.journalWebOfScienceCategory | Psychology, Applied | - |
| dc.relation.journalWebOfScienceCategory | Psychology | - |
| dc.subject.keywordPlus | QUESTIONNAIRE | - |
| dc.subject.keywordPlus | VIOLATIONS | - |
| dc.subject.keywordPlus | VALIDATION | - |
| dc.subject.keywordPlus | ERRORS | - |
| dc.subject.keywordAuthor | E-scooter | - |
| dc.subject.keywordAuthor | risky behaviour | - |
| dc.subject.keywordAuthor | safety behaviour | - |
| dc.subject.keywordAuthor | user study | - |
| dc.subject.keywordAuthor | motivation factor | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
