Bikesharing has emerged as a transformative mode of transportation, contributing to increased cycling, urban mobility, and public transportation use. This study investigates bikeshare dynamics in Washington, DC, focusing on classic bikes, electric bikes (e-bikes), and docked bikeshare options. The analysis of 3,365,045 trips from January to October 2023 resulted in spatial patterns that reveal concentrated trip origins in downtown Washington, DC, emphasizing urban core utilization. Temporal trends highlight peak mid-weekday ridership, aligning with daily work commutes. Multinomial logistic regression discerns nuanced preferences: docked bikes are favored on weekdays, electric bikes on weekends, and members are less likely to choose classic bikes. Findings provide actionable insights for policymakers, informing bikeshare system optimization, station placement, and marketing strategies. Weather-aware planning and promotion, coupled with tailored incentives, are crucial for enhancing bikeshare sustainability and effectiveness in urban transportation.