An Analysis of Applicability for an E-Scooter to Ride on Sidewalk Based on a VR Simulator Study
Source abstract
Abstract
E-scooters have rapidly become a popular option for first- and last-mile mobility, yet their integration into urban transportation systems has raised significant safety concerns. This study investigates the feasibility of permitting E-scooter riding on sidewalks under controlled conditions to minimize pedestrian conflicts. Analysis of E-scooter crashes in Daejeon, South Korea, showed that 98.09% of crashes were caused by rider negligence, with “Failure to Fulfill Safe Driving Duty” as the leading factor. To investigate the applicability of safe sidewalk usage, a VR-based simulator experiment was conducted with 41 participants across four scenarios with varying sidewalk widths and pedestrian densities, under speed limits of 10, 15, and 20 km/h. Riding behaviors—including speed stability, braking, steering, and conflict frequency—and gaze behaviors were measured. Results showed that riding at 10 km/h improved riding stability and minimized conflicts. Regression analysis identified pedestrian density as the strongest predictor of conflicts, followed by sidewalk width and riding speed. These findings suggest specific policy needs: ensuring a minimum sidewalk width of 4 m for safe shared use, restricting operation to environments with low-to-moderate pedestrian density, and implementing a 10 km/h speed limit. This study provides evidence-based recommendations for safer integration of E-scooters into pedestrian environments.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Urban Transport and Accessibility · Assistive Technology in Communication and Mobility · Traffic and Road Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Transportation Engineering, University of Seoul, Seoul 02504, Republic of Korea
Department of Smart Cities, University of Seoul, Seoul 02504, Republic of Korea
Seongbuk District Office, Seoul 02848, Republic of Korea
Funding
Seoyoung Engineering Co., Ltd.
References (44)
Show source-provided references
1. Changes in Shared and Private E-scooter Use in Brisbane, Australia and Their Safety Implications10.1016/j.aap.2021.106451 ↗
2. Who Is Using E-scooters and How? Evidence from Paris10.1016/j.trd.2021.102708 ↗
3. Comparison of E-scooter and Bike Users’ Behavior in Mixed Traffic10.1177/03611981241263339 ↗
4. Who Are the Potential Users of Shared E-scooters? An Examination of Socio-Demographic, Attitudinal and Environmental Factors10.1016/j.tbs.2020.12.004 ↗
5. Exploring Implications and Current Practices in E-scooter Safety: A Systematic Review10.1016/j.trf.2024.09.004 ↗
6. Tuncer, S., and Brown, B. (2020, January 25–30). E-scooters on the Ground: Lessons for Redesigning Urban Micro-Mobility. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA.10.1145/3313831.3376499 ↗
7. Assessing E-scooter Rider Safety Perceptions in Shared Spaces: Evidence from a Video Experiment in Sweden10.1016/j.aap.2024.107874 ↗
8. Das, S., Chakraborty, R., and Mimi, M.S. (2024, January 15–18). Unraveling Crash Causation: A Deep Dive into Non-Motorists on Personal Conveyance. Proceedings of the International Conference on Transportation and Development 2024, Atlanta, GA, USA.10.1061/9780784485514.005 ↗
9. Unsafety on Two Wheels, or Social Prejudice? Proxying Behavioral Reports on Bicycle and E-scooter Riding Safety—A Mixed-Methods Study10.1016/j.trf.2022.06.015 ↗
10. Safety of Micro-Mobility: Analysis of E-scooter Crashes by Mining News Reports10.1016/j.aap.2020.105608 ↗
11. Exploring E-scooter Riders’ Risky Behaviour: Survey, Observation, and Interview Study10.1080/00140139.2024.2409302 ↗
12. Korea Road Traffic Authority (2017). A Study on the Safety Evaluation of Bicycle Road Use by Personal Mobility Devices, Korea Road Traffic Authority.
13. Seoul Metropolitan Government (2018). Guidelines for the Installation and Management of Personal Mobility in Seoul, Seoul Metropolitan Government.
14. Useche, S.A., Gonzalez-Marin, A., Faus, M., and Alonso, F. (2022). Environmentally Friendly, but Behaviorally Complex? A Systematic Review of E-scooter Riders’ Psychosocial Risk Features. PLoS ONE, 17.10.1371/journal.pone.0268960 ↗
15. Risk-Taking Behaviors of E-scooter Users: A Survey in Paris10.1016/j.aap.2021.106427 ↗
16. Predicting Undergraduates’ Willingness to Engage in Dangerous E-scooter Use Behaviors10.1016/j.trf.2024.05.003 ↗
17. Todd, J., Krauss, D., Zimmermann, J., and Dunning, A. (2019). Behavior of Electric Scooter Operators in Naturalistic Environments. SAE Technical Paper, SAE International.10.4271/2019-01-1007 ↗
18. Siebert, F.W., Hoffknecht, M., Englert, F., Edwards, T., Useche, S.A., and Rötting, M. (2021, January 24–29). Safety-Related Behaviors and Law Adherence of Shared E-Scooter Riders in Germany. Proceedings of the International Conference on Human-Computer Interaction, Online.10.1007/978-3-030-78358-7_31 ↗
19. Shared E-scooter Rider Safety Behaviour and Injury Outcomes: A Review of Studies in the United States10.1080/01441647.2023.2219838 ↗
20. E-scooter Safety: The Riding Risk Analysis Based on Mobile Sensing Data10.1016/j.aap.2020.105954 ↗
21. (2025, December 01). Road Traffic Act (Japan), Article 17-2. Available online: https://www.japaneselawtranslation.go.jp/en/laws/view/2962/en.
22. (2025, December 01). Transport Operations (Road Use Management—Road Rules) Regulation 2009 (Queensland, Australia), Available online: https://www.legislation.qld.gov.au/view/html/inforce/current/sl-2009-0194.
23. E-scooter Riders and Pedestrians: Attitudes and Interactions in Five Countries
24. Matsuura, H., Utsumi, A., and Yamazoe, H. (2024, January 29–30). Preliminary Comparative Analysis of E-scooter and Pedestrian Speed Perception in a VR Environment. Proceedings of the APMAR’24: The 16th Asia-PacificWorkshop on Mixed and Augmented Reality, Kyoto, Japan.
25. Goedicke, D., Haraldsson, H., Klein, N., Zhou, L., Parush, A., and Ju, W. (2023, January 13–16). ReRun: Enabling Multi-Perspective Analysis of Driving Interaction in VR. Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Stockholm, Sweden.
26. Ministry of Land, Infrastructure and Transport (2021). Rules on Standards for Road Structure and Facilities, Ministry of Land, Infrastructure and Transport.
27. Korea Road & Transportation Association (2013). Korean Highway Capacity Manual, Korea Road & Transportation Association.
28. Ministry of the Interior and Safety, and Ministry of Land, Infrastructure and Transport (2017). Rules on Standards for Structure and Facilities of Bicycle Utilization Facilities, Ministry of Land, Infrastructure and Transport. Article 4; Ministry of the Interior and Safety.
29. Ministry of Public Administration and Security Enforcement Rule of the Road Traffic Act, Ministry of Public Administration and Security. Effective 20 March 2025.
30. Lee, J.M. Incheon City Reduces Shared E-scooter Speed to 20 km/h and Mandates Age Verification for Under 16, Maeil Ilbo, 5 February 2024.
31. Study on Shared E-scooter Usage Characteristics and Influencing Factors
32. Analysis of Factors Influencing the Route Choice of E-scooter Users: Focusing on the Discrepancy between Actual Usage Paths and Shortest Paths10.7470/jkst.2025.43.3.311 ↗
33. Kim, N. 4 out of 10 Shared E-scooter Users are in their 30s and 40s, E-Today, 18 April 2021.
34. SK Telecom (2022). Analysis of Shared E-scooter Usage in Seoul, SK Telecom Geovision Puzzle.
35. Pazzini, M., Cameli, L., Lantieri, C., Vignali, V., Dondi, G., and Jonsson, T. (2022). New Micromobility Means of Transport: An Analysis of E-scooter Users’ Behaviour in Trondheim. Int. J. Environ. Res. Public Health, 19.10.3390/ijerph19127374 ↗
36. Pedestrians’ Safety Using Projected Time-to-Collision to Electric Scooters10.1038/s41467-024-50049-x ↗
37. Pirdavani, A., Bajestani, M.S., Bunjong, S., and Delbare, L. (2025). The Impact of Perceptual Road Markings on Driving Behavior in Horizontal Curves: A Driving Simulator Study. Appl. Sci., 15.10.3390/app15084584 ↗
38. Cho, M. (2022). Assessment and Importance Analysis of Driving Environment for Shared Personal Mobility Safety. [Ph.D. Dissertation, Seoul National University].
39. Influence of Vehicle Speed on the Characteristics of Driver’s Eye Movement at a Highway Tunnel Entrance during Day and Night Conditions: A Pilot Study10.3390/ijerph15040656 ↗
40. Analysis of Severity Factors in Personal Mobility (PM) Traffic Accidents10.7470/jkst.2020.38.3.232 ↗
41. Maiti, A., Vinayaga-Sureshkanth, N., Jadliwala, M., Wijewickrama, R., and Griffin, G. (2022, January 21–25). Impact of E-scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing. Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops, Pisa, Italy.10.1109/PerComWorkshops53856.2022.9767450 ↗
42. Factors Affecting Speed Variance and Its Influence on Accidents
43. Effects of Simulated Mild Vision Loss on Gaze, Driving and Interaction Behaviors in Pedestrian Crossing Situations10.1016/j.aap.2019.01.026 ↗
44. A Study on the Compensation of the Difference of Driving Behavior between the Driving Vehicle and Driving Simulator10.7855/IJHE.2015.17.2.107 ↗