Do electric bicycles cause an increased injury risk compared to conventional bicycles? The potential impact of data visualisations and corresponding conclusions.

The increasing number of bicycle crashes leading to injuries in the Netherlands is frequently related (e.g., in the media) to increased use of the electric bicycle.

The relationship between cycle track width and the lateral position of cyclists, and implications for the required cycle track width.

Introduction: Sufficient cycle track width is important to prevent single-bicycle crashes and collisions between cyclists. The assumptions on which the minimum width is based in guidelines is founded on only a few studies. The aim of the present study is to investigate the relationship between cycle track width and lateral position of cyclists.

Safe System approach for cyclists in the Netherlands: Towards zero fatalities and serious injuries?

More than one third of all road deaths in the Netherlands and more than two thirds of seriously injured casualties are cyclists. In recent years these shares have increased, despite the fact that the implementation of Safe System principles has been leading in road safety policy and has been successful in reducing the total number of road deaths. However, the annual number of fatalities among cyclists failed to decline and the number of injuries among cyclists has been increasing, especially in single-bicycle crashes.

Odds of self-reported minor cycle crashes with conventional and electric assisted cycles adjusted for cycling frequency in Dutch and Belgian adults a retrospective study.

Background: Cycling for transportation and recreation is gaining in popularity, especially in older age groups. The rise in electric assisted cycles (EAC) may also have a role to play in this. With an increase in the number of cyclists comes an increase in the prevalence of cycle crashes.

A comprehensive analysis of the relationships between the built environment and traffic safety in the Dutch urban areas.

Built-environment factors potentially alleviate or aggravate traffic safety problems in urban areas. This paper aims to investigate the relationships of these factors with vehicle-bicycle and vehicle-vehicle property damage only (PDO) and killed and severe injury (KSI) crashes in urban areas. For this purpose, an area-level analysis using 100x100m cells, along with a Spatial Hurdle Negative Binomial regression model were employed.