DOAJ Open Access 2024

AI-Driven Feedback Systems Reduce Sidewalk Riding on Shared E-Scooters

Mohammad Mehdi Oshanreh Daniel Malarkey Don MacKenzie

Abstrak

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.

Topik & Kata Kunci

Transportation and communications Urban groups. The city. Urban sociology

Penulis (3)

Mohammad Mehdi Oshanreh

Daniel Malarkey

Don MacKenzie

Format Sitasi

APA MLA BibTeX

Oshanreh, M.M., Malarkey, D., MacKenzie, D. (2024). AI-Driven Feedback Systems Reduce Sidewalk Riding on Shared E-Scooters. https://doi.org/10.32866/001c.125892

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.32866/001c.125892
Akses: Open Access ✓