Bloomfield, NJ

AARP Community Challenge Grant Year: 2018

Project Category: Engaging people in transportation options/safety

Description: To identify challenges facing pedestrians, the Bloomfield Department of Health and Human Services conducted a walk audit. They invited community members to travel through town on foot, logging street features that made walking feel unsafe. Additionally, the Department held public meetings to gather community input. These community engagement efforts resulted in several recommendations to improve walkability. In response, the Department launched its WALK Bloomfield program, which established walking routes meant to be safe and enjoyable. As part of that initiative, the Township installed JobClocks -- special electronic devices -- in seven locations about Bloomfield. This allows walkers carrying a fob to automatically log the time it takes to walk from one JobClock to the next. Overall, organizers hope the efforts grow a pedestrian culture in Bloomfield.

Newark, NJ

AARP Community Challenge Grant Year: 2025

Project Category: Trails

Description: Older adults in Newark often navigate streets and transportation systems that were not designed with aging in mind, especially those without cars who rely on walking or bicycling for everyday needs. Their lived experience is frequently missing from planning discussions, even as safety and independence become more fragile with age. New Jersey Bike and Walk Coalition addressed this gap by creating welcoming spaces where older adults could learn about mobility options and speak directly about what works and what does not. A Senior Mobility Fair drew hundreds of older adults to try mobility tools, connect with resources and share stories about moving through the city. The project also partnered older adults with youth to record interviews, videos and portraits, including perspectives from residents with visual impairments. City leaders attended and heard these accounts firsthand, helping ground future mobility conversations in real experiences.

Project description was created using generative AI and then reviewed for accuracy.