Real-Time Data Apps Improve Rider Experience
GRTC’s mission is to provide clean, safe, and reliable transportation and to improve mobility and access throughout Central Virginia. The City of Richmond and Chesterfield County, joint owners of the GRTC, offer local bus service, commuter express service, specialized transportation services, and ride share programs. Through these programs, GRTC strives to continually improve the rider’s experience by developing initiatives that serve rider needs.
GRTC operates a fleet of 160 vehicles across 40 routes. To add value to the passenger experience, it wanted to provide real-time transit information and updates for riders via mobile applications. The organization required that the mobile apps be interactive, allowing riders to submit customer feedback and directly contact the GRTC via the app.
GRTC engaged Alesig to develop two transit mobile applications. RideFinders provides access to ride sharing and other eco-friendly, cost efficient commuting alternatives. The GRTC Transit On the Go app provides real-time bus service information including arrival times and stop locations using GPS technology and Google or Apple Maps.
Since the organization is focused on continually improving the rider experience, Alesig recommended integrating background analytics that would enable the GRTC to identify how riders use the transit system including routes, stops, and other services. Alesig also recommended a customer rewards program linked to the analytic data capture. The basis of the program would reward riders for using its mobile apps, thus enabling a robust data capture. Following GRTC approval of our recommendations. Alesig designed and integrated the background analytics, which drives the rewards program, within the original parameters of the contract.
This data capture enables the GRTC to effectively plan future business initiatives, conduct market research, and improve passenger experience. Additionally, using an application interface program (API), the app allows the GRTC to push prediction data, alerts, and service bulletins to users.