Green infrastructure (GI) is an important promoter of urban biodiversity. However, improper GI planning can lead to negative outcomes (disservices) such as the increased transmission risk of Lyme Disease (LD) to humans. We describe an agent-based approach to model LD risk under current and future GI scenarios. We model the interaction of humans, ticks, and deer within GI in order to estimate LD risk to humans under different landscape scenarios. This will provide new insight into LD risk and enable policy makers to better understand how to plan GI to maximise its benefits to people and the planet.