The aim of the project is to develop a methodology for estimating the risk of accidents for cyclists for 1) different types of cyclists (commuters, touring, etc.), 2 ) over various time periods (hours, days, etc.) , and 3) different geographical locations (in the Gothenburg area). The project will combine naturalistic data from the BikeSafe/e-BikeSafe available at SAFER, STRADA data, if data (insurance companies ), and exposure data from various monitoring stations Göteborg. By combining different data sources, this project will demonstrate how it is possible to obtain new results and insights that individual data sources cannot provide.
Biträdande professor vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet, Olycksprevention
Finansierar Chalmers deltagande under 2015