The Client is a Light Rail, Trinity Railway Express commuter rail, bus routes, and Paratransit service provider operating around 12 surrounding cities with modern public transit services and customer facilities tailored to make your trip fast, comfortable and economical, moves more than 220,000 passengers per day across the 700-square-mile service area.
The Client efforts to induce greater use of public transport. However, tracking & understanding passenger preference to improve the ridership on the viable approach was of a greater challenge. As the Client partnered with a vendor, they had no free access to the data, and the available data had limited details. Tracking the ridership details, routes and real-time vehicle availability has been an uphill task.
Seanergy, being the consulting partner developed operations and analytic reports to surface business insights and provide a 360-degree view of the company. We built a solution with the ability to analyze large data sets, much faster than current solutions, and could run queries across hundreds of individual records. Based on the analysis, Seanergy has come up with a solution for Tracking Daily ridership, Reduced manual effort in planning and scheduling, Tracking real-time vehicle availability, Reduced overtime and Monitor overcrowd passenger by peak hours through an executive dashboard with the following metrics:
- Ridership by Trip
- Ridership by each hour
- Average Passengers per Stop
- Average Passengers per Mile
- Schedule Departure vs Actual Departure
- Passengers On & Off in each stop
- Showing Bus Stops in Maps
- Vehicles & Miles traveled in a month
- Ridership comparison by Weekday & Weekend
A reported increase in bus riders by each hour reflects the provision of expanded transit service, reduced travel times, improved facility identity. Collectively, the increase in passenger per mile, stop and trip clearly demonstrates that the client can attract and retain new, even discretionary, riders. There has been a considerable improvement in ridership due to improved on-time performance. Results suggest that many of the new riders were previously motorists and that improved bus service results in more frequent travel.