Case Study

RideCo On-Demand Transit Improves Productivity for In-Demand Paratransit Program

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Reduction in cost per passenger
Average star trip rating
Increase in rides per day
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The On-Demand Transit Solution.


Offering programs for senior residents and people with disabilities, Porter County Aging & Community Services (PCACS) was experiencing high demand for their transportation service. However, with reliance on manual intervention and poor productivity, PCACS could not keep up with the increase in demand using their existing legacy software. RideCo was engaged to implement its industry- leading solution, enabling PCACS to provide an efficient, demand-responsive paratransit program that could accommodate its increasing ridership.

I have been very pleased with RideCo’s support in putting everything together. The team has been accommodating and helpful, which is nice to see for an agency—more than I could ever ask for.
Bruce Lindner, Executive Director, PCACS

Use Case


PCACS was searching for an alternative solution that would mitigate challenges with service delivery and enable a more accessible transportation service for senior residents and people with disabilities. These challenges included serving a large low-density area using an inefficient legacy software that was unable to accommodate high trip demand.

RideCo Solution

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Using RideCo’s on-demand transit software, PCACS is offering an efficient door-to-door transportation service for registered riders across Porter County, Indiana. Riders can schedule a trip on demand, up to two weeks in advance, or with convenient subscription bookings. Autonomous booking and scheduling through the RideCo app have improved overall productivity, both accommodating the increase in trip demand and supporting PCACS in providing an accessible service that helps its residents be more independent, healthy, and productive. Within the first three months of launching in September 2021, RideCo increased service productivity while delivering more rides and reducing cost per passenger when compared to the same time frame from the previous year.

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