Cholera is a waterborne disease where transmission is influenced by human mobility, environmental contamination, and sanitation practices. Traditional models often assume homogeneous mixing of populations, overlooking mobility-driven transmission. This study develops an agent-based model (ABM) integrating SEIRS epidemiology with a density-augmented Exploration and Preferential Return (d-EPR) mobility model to simulate cholera spread. The presented results show that structured mobility concentrates infections in high-risk hubs, sustaining outbreaks, whereas random movement leads to widespread but transient epidemics. These findings highlight the critical role of mobility in shaping disease dynamics and suggest that targeted interventions should account for movement behaviours to improve cholera mitigation strategies.