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Bicycle infrastructure is in most cities a fairly recent addition and something that has, in many cases, been squeezed in where space has been available. Consequently, the properties of bike lanes differ a lot between different locations. An observation that is easy to make is that when bike lanes are wide, smooth, and straight, the variation in cyclists’ behaviour is low. When on the other hand there are lanes that disappear, that takes long detours, or are blocked for various reasons, cyclists start to act in a way that from an outsider perspective may look random or at least difficult to predict. This paper reports on a study where 17 cyclists have filmed their daily commute with GPS equipped action cameras. They then observed their film together with a researcher and explained how they perceive the route and how they make their choices in traffic. Based on the results of the study we present a tentative model of how cyclist behaviour can be predicted that can be used as a design tool when designing bicycle infrastructure or making changes to existing infrastructure. The model suggests that cyclist behaviour is affected by two sets of factors; physical factors that can be viewed as unintentional nudges associated with the environment, and subjective factors that are based on rational decisions by the individual cyclist.

The main objective of WP5 is to run a set of field trials with naïve users (i.e. not experts involved in the development of the measures) for all nudging and coaching measures developed in WP2-4. Field trials with naïve users are necessary in order to validate the estimated effectiveness of each measure. The field trials were set up in as realistic settings as possible, given the possibilities to implement/distribute each measure. This deliverable gives a short description of the field trial setup for each measure, and then reports the effects of the nudge on road user behaviour.

The report describe the research design for the project MeBeSafe, where different nudges as well as coaching measures to behave more safely in traffic are tested.