UberAnnouncement
Rider insights: How NJ Transit’s Access Link Riders’ Choice Pilot redefines mobility freedom
Summary
NJ TRANSIT’s Access Link Riders’ Choice (ALRC) Pilot 2.0 gives eligible paratransit customers on-demand Uber rides across five New Jersey service regions, with up to $20 off 10 trips monthly for work, appointments, and leisure. Launched in 2024, the pilot addresses traditional paratransit constraints such as advance booking and fixed time windows; Uber data as of July 30, 2026, records more than 269,000 rides. In an Easterseals webinar, rider Wanda Williford and caregiver Sharice Frazile described same-day availability as life-changing, reducing scheduling stress and enabling unexpected medical visits and other travel. Their accounts portray flexibility, real-time ride access, and spontaneity as practical changes to daily routines for riders and caregivers, while Williford calls the program a “game changer” for New Jersey paratransit.
Context
Traditional paratransit services can require booking days in advance and restrict travel to fixed time windows. The pilot responds to those constraints for Access Link customers, with participants describing the need for greater spontaneity, flexibility, and easier management of daily travel.
Approach / What changed
The ALRC Pilot 2.0 provides eligible paratransit customers with on-demand Uber rides across five New Jersey service regions. Riders can receive up to $20 off 10 Uber trips per month for work, appointments, and leisure, including same-day travel when a dedicated Access Link ride was not booked in advance.
Takeaways
The pilot offers eligible riders up to $20 off 10 Uber trips each month across five New Jersey service regions.
Uber data reported in the post records more than 269,000 rides since the pilot launched in 2024, as of July 30, 2026.
Rider and caregiver accounts connect same-day availability with reduced scheduling stress, unexpected medical visits, and greater spontaneity.
Source and freshness
- Source
- uber.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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