Abstract
The emergence of shared micromobility in the recent years has caused enormous changes in the city landscape and people’s daily activity-space. E-scooters as an emerging transport mode are being embedded into society by offering a fast and pleasant travel experience, especially for first-mile and last-mile legs, while being relatively affordable (Fitt & Curl, 2020). Rapidly evolving literature focuses on various topics, such as trip purpose (Buehler, et al., 2021), mode substitution (Guo & Zhang, 2021), safety (Haworth & Schramm, 2019), injuries caused by e-scooters (Mukhtar, et al., 2021), using public shared space (Gibson, et al., 2021) as well as deeper conceptualization of everyday mobility and unpacking of social practices (Fitt & Curl, 2020). In order to steer urban sustainability transition that includes e-scooters, the characteristics of e-scooter users’ behaviors and intentions should be understood further. Such user-level understanding is essential for identifying triggers for long-term behavioral change, and complete interpretation of system-level results. This research introduces an important user perspective through an application of user personas, as an elaborate representation of different users’ needs, experiences, and behaviors often used in design studies. Using the concept of personas for systematic literature review (Dibaj, et al., 2021), we identify classification categories based on usage frequency and motivation. These user categories are contrasted with the analysis of temporal patterns which highlight the commonality of mid-day, evening and weekend peak usage across cities, as well as spatial patterns, which suggest that e-scooters are used for traveling to recreational and educational land use, as well as city center areas. Moreover, findings inform us that e-scooters mostly substitute walking and slow public transit modes and people use them to have a positive travel experience, for recreational purposes and first-mile and last-mile legs. The overall findings provide important lessons for the evaluation of this emerging mobility service, which should be considered for steering its development in public-private stakeholder networks.
References
Buehler, R. et al., 2021. Changes in Travel Behavior, Attitudes, and Preferences among E-Scooter Riders and Nonriders: First Look at Results from Pre and Post E-Scooter System Launch Surveys at Virginia Tech. Transportation Research Record, p. 03611981211002213.
Dibaj, S., Hosseinzadeh, A., Mladenović, M. N. & Kluger, R., 2021. Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas. Sustainability, 13(21), p. 11792.
Fitt, H. & Curl, A., 2020. The early days of shared micromobility: A social practices approach. Journal of Transport Geography, Volume 86, p. 102779.
Gibson, H., Curl, A. & Thompson, L., 2021. Blurred boundaries: E-scooter riders’ and pedestrians’ experiences of sharing space. Mobilities, pp. 1-16.
Guo, Y. & Zhang, Y., 2021. Understanding factors influencing shared e-scooter usage and its impact on auto mode substitution. Transportation research part D: transport and environment, Volume 99, p. 102991.
Haworth, N. L. & Schramm, A., 2019. Illegal and risky riding of electric scooters in Brisbane. Medical journal of Australia, 211(9), pp. 412-413.
Mukhtar, M., Ashraf, A., Frank, M. S. & Steenburg, S. D., 2021. Injury incidence and patterns associated with electric scooter accidents in a major metropolitan city. Clinical imaging, Issue 74, pp. 163-168.
References
Buehler, R. et al., 2021. Changes in Travel Behavior, Attitudes, and Preferences among E-Scooter Riders and Nonriders: First Look at Results from Pre and Post E-Scooter System Launch Surveys at Virginia Tech. Transportation Research Record, p. 03611981211002213.
Dibaj, S., Hosseinzadeh, A., Mladenović, M. N. & Kluger, R., 2021. Where Have Shared E-Scooters Taken Us So Far? A Review of Mobility Patterns, Usage Frequency, and Personas. Sustainability, 13(21), p. 11792.
Fitt, H. & Curl, A., 2020. The early days of shared micromobility: A social practices approach. Journal of Transport Geography, Volume 86, p. 102779.
Gibson, H., Curl, A. & Thompson, L., 2021. Blurred boundaries: E-scooter riders’ and pedestrians’ experiences of sharing space. Mobilities, pp. 1-16.
Guo, Y. & Zhang, Y., 2021. Understanding factors influencing shared e-scooter usage and its impact on auto mode substitution. Transportation research part D: transport and environment, Volume 99, p. 102991.
Haworth, N. L. & Schramm, A., 2019. Illegal and risky riding of electric scooters in Brisbane. Medical journal of Australia, 211(9), pp. 412-413.
Mukhtar, M., Ashraf, A., Frank, M. S. & Steenburg, S. D., 2021. Injury incidence and patterns associated with electric scooter accidents in a major metropolitan city. Clinical imaging, Issue 74, pp. 163-168.
| Original language | English |
|---|---|
| Publication status | Published - 7 Jun 2022 |
| MoE publication type | Not Eligible |
| Event | Transport Research Finland - Online, Virtual, Online, Finland Duration: 7 Jun 2022 → 7 Jun 2022 |
Conference
| Conference | Transport Research Finland |
|---|---|
| Country/Territory | Finland |
| City | Virtual, Online |
| Period | 07/06/2022 → 07/06/2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 15 Life on Land
Keywords
- electric scooter
- rental e-scooter
- micromobility
- micro personal mobility vehicles
- spatial analysis
- temporal analysis
- Mobility pattern
- personas
- shared mobility
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