Identification and modelling of travel behaviour determinants in order to find succesful interventions

To ease some of the major problems in the field of mobility and transport a change in travel and driving behaviour is needed. At this moment, too many travellers use the car and drive at the same moment in time. In order to change travel behaviour various measures can be taken. However, often one starts with selecting a solution or intervention instead of starting with the traveller and trying to find the best intervention for influencing a specific type of behaviour. If you start with the traveller, it is important to know how he makes his decisions and what sort of underlying mechanisms influence this behaviour. In this paper we will first describe the most important determinants of travel behaviour that came out of a literature review. After this we will describe the implementation of these determinants in a so-called MARVEL model. The working of MARVEL is based on causal relations between system components. With MARVEL the effect of (combinations of) interventions can be shown over time and connections between components will be visible. The paper will end with conclusions on how the work that is described can be used in solving problems in the field of mobility and transport.