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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Bibliographic Details
Main Authors: Mohammad Mehdi Oshanreh, Daniel Malarkey, Don MacKenzie
Format: Article
Language:English
Published: Findings Press 2024-11-01
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.
ISSN:2652-8800