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E-Scooter De​sign (VTTI-00-032)

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DataCite Commons2023-07-05 更新2024-07-13 收录
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https://dataverse.vtti.vt.edu/citation?persistentId=doi:10.15787/VTT1/XXSXB4
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Project Description: Over the recent years, e-scooters have become an increasingly popular and convenient micromobility solution for short-distance trips for a wide demographic of users. Due to their accessibility, knowledge regarding proper e-scooter use and level of operating experience can vary widely. With the increase in use, there has been a rise in injuries for e-scooter riders and other road users. One possible cause is that the true performance capabilities of e-scooters vary based upon their designs; users are unaware of these differences or how to accommodate their riding behavior to retain a safe experience. This relationship between safety outcomes and e-scooter design attribute has yet to be established. Until recently, very little formal research has been conducted on the safety of this form of transportation or on the optimal design for e-scooters. Safety concerns may limit the widespread adoption of e-scooters as a legitimate transportation option. To address this concern, the Virginia Tech Transportation Institute (VTTI), in collaboration with Ford Motor Company and Spin, conducted a controlled participant study on the Virginia Smart Roads to evaluate and compare various e-scooter designs and study how rider specific factors contribute to performance and safety. The results from this study will be used to inform e-scooter companies and manufacturers on design recommendations for improved e-scooter safety. Data Scope: This kinematic dataset includes 2,552 observations organized by participant number, trial number, scooter identification number, and a description of the obstacle encountered during each of the Handling, Stability, and Maneuverability Test completed by both participant groups (experienced and novice riders). Data Specification: Please see Data Dictionary document below.
提供机构:
VTTI
创建时间:
2023-06-21
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