NoRisk2Bike

Project manager
Marco Dozza
Period
2015-02-01 - 2016-03-31

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.

Short facts

Project title: NoRisk2Bike
Project type:
Research area:
Safety performance evaluation
Financier(s):
The Swedish Transport Administration
Partner(s):
Chalmers, If, City of Göteborg
Period:
-

Project publications

In Europe, the number of road crashes is steadily decreasing every year. However, the incidence of bicycle crashes is not declining as fast as that of car crashes. In Sweden, cyclists are the most frequently injured
Author(s)
Dozza M, Schindler R, Piccinini G, Karlsson J
Published in
Accident Analysis & Prevention
Year of publication
2015
In Europe, the use of electric bicycles is rapidly increasing. This trend raises important safety concerns: Is their use compatible with existing infrastructure and regulations? Do they present novel safety issues? How do they impact other
Author(s)
Dozza M, Bianchi Piccinini GF, Werneke J
Published in
Transportation Research Part F
Year of publication
2016
Crash databases are commonly queried to infer crash causation, prioritize countermeasures to prevent crashes, and evaluate safety systems. However, crash databases, which may be compiled from police and hospital records, alone cannot provide estimates of crash
Author(s)
Marco Dozza
Published in
Accident Analysis and Prevention (0001-4575). (2016)
Year of publication
2016
Crash databases are commonly queried to infer crash causation, prioritize countermeasures to prevent crashes, and evaluate safety systems. However, crash databases fail to capture road user behavior before the crash and are not sufficient to estimate
Author(s)
Marco Dozza
Published in
Proceedings of the 4th International Cycling Safety Conference, Hannover, 15-16 Sept 2015 (2015)
Year of publication
2015

Safer – Vehicle and Traffic Safety Centre

SAFER is the open innovation arena where researchers and expertise work together to create safe mobility. Our traffic safety approach covers people, vehicles and the infrastructure – and together we contribute to safer road transports and smarter, more sustainable cities.

Contact information

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 safer [at] chalmers.se