- AutorIn
- Nitesh R. Shah Department of Civil and Environmental Engineering, The University of Tennessee at Knoxville
- Christopher R. CherryDepartment of Civil and Environmental Engineering, The University of Tennessee at Knoxville
- Titel
- Riding an e-scooter at nighttime is more dangerous than at daytime
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-824711
- Konferenz
- International Cycling Safety Conference (ICSC). Dresden, 08.-10. November 2022
- Quellenangabe
- Contributions to the 10th International Cycling Safety Conference 2022 (ICSC2022)
Herausgeber: Prof. Dr. Tibor Petzoldt
Herausgeber: Prof. Dr. Regine Gerike
Herausgeber: Juliane Anke
Herausgeber: Dr. Madlen Ringhand
Herausgeber: Bettina Schröter
Erscheinungsort: Dresden
Verlag: Technische Universität Dresden
Erscheinungsjahr: 2022
Seiten: 60-62 - Erstveröffentlichung
- 2022
- DOI
- https://doi.org/10.25368/2022.436
- Abstract (EN)
- With rapidly increasing e-scooter usage in the United States [1], a growing number of studies aim to understand the safety aspect of these emerging modes. The existing literature has a limited understanding of time-of-day and seasonal patterns of e-scooter crashes. While many e-scooter safety policies are based on the number of crashes [2, 3], accounting for exposure provides a measure of risk to inform effective preventive strategies [4]. This study focuses on motor-vehicle involved crashes since they constitute the most severe and fatal injuries. We compared daytime and nighttime motor-vehicle involved e-scooter crashes and combined them with micromobility trip data to generate exposure variables and estimate crash risk. The key research question of this paper is as follows: 1. Are crashes or crash rates disproportionately higher at night than in the day? [From: Introduction]
- Freie Schlagwörter (DE)
- E-Scooter, Sicherheit, Unfallrate, Mikromobilität, ICSC
- Freie Schlagwörter (EN)
- e-scooter, safety, crash rate, micromobility, ICSC
- Publizierende Institution
- Technische Universität Dresden, ”Friedrich List“ Faculty of Transport and Traffic Sciences, Institute of Transport Planning and Road Traffic
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-824711
- Veröffentlichungsdatum Qucosa
- 28.12.2022
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0