AI-Driven Feedback Systems Reduce Sidewalk Riding on Shared E-Scooters
This study examines the impact of AI-based feedback and speed restrictions on reducing sidewalk riding in shared e-scooters. In partnership with Spin, 100 scooters in Santa Monica, California were fitted with computer vision, with feedback features activated on half. Data from 488 trips revealed tha...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Findings Press
2024-11-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.125892 |
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| Summary: | This study examines the impact of AI-based feedback and speed restrictions on reducing sidewalk riding in shared e-scooters. In partnership with Spin, 100 scooters in Santa Monica, California were fitted with computer vision, with feedback features activated on half. Data from 488 trips revealed that feedback-equipped scooters spent 22% less time and 20% less distance on sidewalks. Nearly half of riders used sidewalks for less than 10% of their trip, while around 10% spent over 60% of trip time on sidewalks, regardless of feedback. These results suggest AI feedback modifies behavior but doesn't fundamentally change diverse riding patterns. |
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| ISSN: | 2652-8800 |