The modelling of pedestrian behaviour in a real-world environment is a complex problem, mainly due to the unpredictable nature of human decision making. Agent-oriented simulation moves away from the traditional all-knowing and "controlling" simulations and towards reality, where pedestrians exhibit different behaviours depending on their knowledge of the environment and other personal characteristics. We explore whether the belief-desire-intention (BDI) architecture is appropriate for this domain using the design methodology Prometheus and programming language JACK Intelligent Agents. Although the BDI architecture is useful for high-level decision making, further work is required in representing and updating the environment.