- Titel
- Mileage-based accident risks of pedelec riders
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-820160
- 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: 1-3 - DOI
- https://doi.org/10.25368/2022.416
- Abstract (EN)
- In a previous paper, we analyzed accidents of pedelec riders in 2019 and examined possible changes over the past years. We found that pedelec accidents still essentially resemble the classic two-wheeler accident characteristics, with certain specifics (e.g., higher age of riders involved in an accident, higher proportion of single-bicycle accidents, higher proportion of out-of-town accidents). Even though the number of pedelecs and pedelec accidents has increased in recent years, no qualitative changes in the characteristics of accidents compared to previous years seem to have occurred. We now have a large data base of riders and accidents and new data sources that offer the possibility for calculating accident risks by mileage-based analyses. In addition to absolute accident numbers, relative accident parameters are of particular interest for accident research and prevention. Using the same amount of physical effort pedelecs can be used to cover longer distances than bicycles. At the same time, longer distances increase the probability of being involved in an accident. On average, pedelec users cover 1.8 times as many kilometers per day as bicycle users do. We now have nationally representative data on the mileage of pedelec riders, so we can calculate mileage-based accident risks and get new insight into pedelec accidents. For comparison the accident risks of bicycle riders are used.
- Freie Schlagwörter (DE)
- Pedelec, kilometerbezogene Analysen, Unfallrisiko, Fahrrad, altersdifferenziert, ICSC
- Freie Schlagwörter (EN)
- pedelec, mileage-based analyses, accident risk, bicycle, age-differentiated, ICSC
- Publizierende Institution
- Technische Universität Dresden, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-820160
- Veröffentlichungsdatum Qucosa
- 19.12.2022
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0