- Titel
- Measuring exposure for cyclists and micro-mobility users
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-825363
- 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: 229-231 - Erstveröffentlichung
- 2022
- DOI
- https://doi.org/10.25368/2022.491
- Abstract (EN)
- Data about bicycle usage is an important input parameter for several purposes. They are used to describe changes towards more sustainable transport, and partly to say something about changes towards more active transport as opposed to passive modes oftransport. Importantly such data are used as the denominator when calculating crash risk: for cyclists. In Norway, as in most countries, these data are captured in several ways today. This is partly done by using data from the national travel behavior survey, partly using figures from stationazy or mobile bicycle counters, and partly using other methods such as manual counts, etc. The technological development has provided several new opportunities to register such travel, in the form of more advanced stationary counters, advanced algorithms that interprets signal data, video recording solutions and app-based measurement systems. At the sam.e time, we see that development in the transport sector also creates new challenges. In just a few years, electric scooters have radically changed the traffic picture in cities and towns in Norway. There is therefore a need for more knowledge about different forms of ways to measure bicycle and micro-mobility use, their strengths and weaknesses, and what kind of strategies the authorities should have to be equipped to meet future changes in the transport field, as exemplified by the recent intlux of e-scooters. The current paper aims to respond to these challenges by answering the following research questions: • What are the relative strengths and weaknesses of different data sources for measuring cycling and micromobility use? • How weil do the different sources function to capture micromobility and to differentiate between traditional cycling and micromobility? • How can the different data sources be used as input for calculating crash risk for various forms of soft mobility (i.e. cycling and micromobility)?
- Freie Schlagwörter (DE)
- Radfahren, E-Scooter, Verkehrsverhaltenserhebung, Fahrradzähler, App-Daten, Videobeobachtung, ICSC
- Freie Schlagwörter (EN)
- cycling, e scooters, travel behaviour survey, bicycle counters, app data, video observation, ICSC
- Publizierende Institution
- Technische Universität Dresden, “Friedrich List” Faculty of Transport and Traffic Sciences, Institute of Transport Planning and Road Traffic
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-825363
- Veröffentlichungsdatum Qucosa
- 03.01.2023
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0