ridership data analysis

Ridership data analysis involves examining information related to how many people use public transportation services, such as buses and trains. By collecting data on factors like the number of passengers, travel times, and peak usage periods, transit agencies can identify trends and patterns. This analysis helps improve services by determining where to add routes, adjust schedules, or allocate resources more effectively. Ultimately, the goal is to enhance public transportation efficiency and accessibility, making it more convenient for riders and encouraging use.