This document summarizes preliminary results from analyzing spatial and temporal data from Dublin City's bike rental scheme. Key findings include: - Usage patterns show higher demand during weekday rush hours and lunchtime, with quieter weekends. - Stations near public transportation hubs and city centers see more usage. Integrating bikes with transportation supports ridership. - Weather impacts usage, with rainy days seeing little use until evening spikes. - Future work could integrate population and flow models to better understand bike trips and predict station usage across Dublin.