Agent-based and choice models represent two popular approaches for modelling recreational behaviours. While these approaches investigate similar research questions and focus on individual behaviours, there is no formal link between these approaches within outdoor recreation research. This article demonstrates an initial attempt to benefit from the marriage of agent-based and choice modelling approaches. After assessing the strengths and weaknesses of each approach, we illustrate our Landscape Fisheries Model. This model predicts the amount, timing, type, location and value of recreational fishing trips at a landscape scale. Choice models of participation and site choice decisions are used to guide the behaviours of the agents. The resulting model benefits from the virtual world of the agent-based model and the theoretical grounding of choice models.