NoRisk2Bike

Period

1 February 2015–31 March 2016

Project manager

Marco Dozza

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.

Website

http://www.chalmers.se/safer/EN/projects/traffic-safety-analysis/associated-pro…

Short facts

Research area

Safety performance evaluation

Financier(s)

The Swedish Transport Administration

Partners

Chalmers, If, City of Göteborg

Project type

SAFER connected project

Related publications

How do drivers overtake cyclists?

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 road users. Collisions between bicycles

Authors : Dozza M, Schindler R, Piccinini G, Karlsson J

Year : 2015

Published in : Accident Analysis & Prevention

Using naturalistic data to assess e-cyclist behavior

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 traffic? This

Authors : Dozza M, Bianchi Piccinini GF, Werneke J

Year : 2016

Published in : Transportation Research Part F

Crash risk: How cycling flow can help explain crash data

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

Authors : Marco Dozza

Year : 2016

Published in : Accident Analysis and Prevention (0001-4575). (2016)

Combining Data Sets for Analysis of Cycling Safety: How Detailed Exposure Data Can Help Explain Crash Data

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 crash

Authors : Marco Dozza

Year : 2015

Published in : Proceedings of the 4th International Cycling Safety Conference, Hannover, 15-16 Sept 2015 (2015)