Riding e-Scooters Day and Night – Observation of User Characteristics, Risky Behavior, and Rule Violations

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Crash statistics and hospital data show that injured e-scooter riders arrive at hospitals often at night and on weekends. Subsequently, the crash risk at night is higher compared to the daytime. A possible explanation might be increased rule violations, safety-critical behaviors, and changes in the user group at night compared to daytime. Therefore, we aimed to conduct an observational study analyzing the interrelationships of risky behaviors, rule violations, and user characteristics of e-scooter riders in two German cities. A total of 732 observations were analyzed with Chi-Squared tests and Generalized Estimating Equations. The results show increased rates of tandem riding at night compared to the daytime and increased rule violations of adolescents compared to older e-scooter riders regardless of the time of day. Rates of helmet use, wrong-way riding, headphone use, smartphone use, and luggage transport were comparable for daytime and night observations. The results suggest that educational campaigns should focus on tandem riding, especially targeting the user group of teenage riders. This study brings e-scooter riding at night into the light and emphasizes riders' nightly behaviors for policymakers and traffic safety.

Details

OriginalspracheEnglisch
TitelHCI in Mobility, Transport, and Automotive Systems
Redakteure/-innenHeidi Krömker
Herausgeber (Verlag)Springer Verlag
Seiten438–449
Seitenumfang12
ISBN (elektronisch)978-3-031-35678-0
ISBN (Print)978-3-031-35677-3
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusJa

Publikationsreihe

ReiheLecture Notes in Computer Science
Band14048
ISSN0302-9743

Externe IDs

dblp conf/hci/RinghandAPG23
unpaywall 10.1007/978-3-031-35678-0_30
Scopus 85169066216
Mendeley ed5c502c-e4ea-30e3-a708-897882c64a7b

Schlagworte

Schlagwörter

  • Micromobility, Night riding, Traffic safety