E-scooter driving behaviour analysis using BEAM data: a case study from Brisbane, Australia

被引:0
|
作者
Tjong, Dominic [1 ]
Mihaita, Adriana-Simona [1 ]
Mao, Tuo [1 ]
Saleh, Khaled [2 ]
Herran, Luis Carlos F. Elix [3 ]
机构
[1] Univ Technol Sydney UTS, Fac Engn & IT, Sydney, Australia
[2] Univ Newcastle, Sch Informat & Phys Sci, Newcastle, Australia
[3] Tecnol Monterrey, Sch Sci & Engn, Sonora Norte, Mexico
来源
2024 INTERNATIONAL SYMPOSIUM ON ELECTROMOBILITY, ISEM 2024 | 2024年
关键词
micro-mobility; e-scooters; analytics;
D O I
10.1109/ISEM62699.2024.10786780
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As cities around the world adapt to evolving urban environments, sustainable mobility solutions such as electric scooters (e-scooters) have captured the attention of the public and policy makers. Despite their advantages, e-scooters pose several challenges related to safety and driving behaviour. This study uses data from BEAM Mobility, a Singaporean ride-share company, to explore the spatial and temporal dynamics of e-scooter usage in Brisbane, Australia. We highlight e-scooter usage trends and factors influencing urban density, offering insights and strategies helpful for optimising micro-mobility in urban areas. Data analysis reveals that since the mid-July 2021 launch, e-scooter usage has steadily grown, peaking on weekends between 4-5 pm. The average travel duration ranged from 7 to 20 minutes, with travel distances averaging 0.88 km. Overall, weekend and holiday usage accounted for 31% of total trips. Residential areas saw the most trips, suggesting that e-scooters are frequently used for local commuting or leisure trips within neighbourhoods. Regular users made up 56% of riders, indicating a higher interest in micromobility modes among citizens.
引用
收藏
页码:135 / 140
页数:6
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