Next Article in Journal
A Review on All Terrain Vehicle Safety
Next Article in Special Issue
Risk Compensation: Revisited and Rebutted
Previous Article in Journal
Safety Inspectorates and Safety Performance: A Tentative Analysis for Aviation and Rail in Norway
Previous Article in Special Issue
Sport Cycling Crashes among Males on Public Roads, the Influence of Bunch Riding, Experience and Competitiveness
Article Menu

Export Article

Open AccessArticle
Safety 2016, 2(2), 14;

Bicycle-Bicycle Accidents Emerge from Encounters: An Agent-Based Approach

Department of Geoinformatics – Z_GIS, University of Salzburg, Hellbrunnerstraße 34, 5020 Salzburg, Austria
Author to whom correspondence should be addressed.
Academic Editor: Jake Olivier
Received: 25 February 2016 / Revised: 6 June 2016 / Accepted: 13 June 2016 / Published: 21 June 2016
(This article belongs to the Special Issue The Return of Cycling—Safety Implications)
Full-Text   |   PDF [2930 KB, uploaded 21 June 2016]   |  


Traditional accident risk prediction models need adequate data on explanatory variables, most importantly data on traffic flows. However, in the case of accidents between bicycles the availability of such data is often limited. Therefore, alternative bottom-up simulation modelling approaches are expected to complement traditional equation-based models. In this paper we present an agent-based approach to explore bicycle-bicycle accidents. Specifically, we hypothesise that (1) bicycle-bicycle accidents are based on the population of encounters between cyclists rather than on bicycle flows and (2) that encounters have a non-linear relationship with flows. Bicycle flows and encounters are simulated by means of an agent-based model that is implemented for the road network of the city of Salzburg. Simulation results are tested against a 10-year dataset of police records on bicycle-bicycle accidents. The results affirm both hypotheses: First, cyclist encounters exhibit a linear relationship to accidents and thus suggest being the true population of bicycle-bicycle accidents. Second, flows show a relationship in the form of a second-order polynomial function with encounters as well as accidents. View Full-Text
Keywords: bicycle safety; bicycle accidents; agent-based model bicycle safety; bicycle accidents; agent-based model

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Wallentin, G.; Loidl, M. Bicycle-Bicycle Accidents Emerge from Encounters: An Agent-Based Approach. Safety 2016, 2, 14.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics



[Return to top]
Safety EISSN 2313-576X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top