Hamilton, NJ

AARP Community Challenge Grant Year: 2025

Project Category: Housing Choice Design Competitions

Description: Many older adults in New Jersey want to remain in their communities but face a shortage of housing that is affordable, accessible and suited to changing mobility needs. Much of the state's housing stock is older and multi story, limiting realistic options for residents who want to downsize or age in place. New Jersey Advocates for Aging Well addressed this challenge by hosting a statewide housing design competition focused on practical, age-friendly models, including accessory dwelling units, single family and multi family homes. A volunteer panel of architects and housing experts reviewed submissions and selected winning designs that demonstrated how accessibility and affordability could be achieved within existing communities. The resulting report provided concrete examples that communities could use in local discussions.

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

Stockton, NJ

AARP Community Challenge Grant Year: 2025

Project Category: Bike Audits

Description: The Partnership set out to understand safety issues along a 12-mile stretch of the Delaware River Scenic Byway, where cyclists faced hazards such as debris, cracked pavement and faded markings that forced riders, including older adults, into traffic. Volunteers completed 34 audits, documenting conditions across three segments and noting that while many riders enjoyed the route for recreation and commuting, problems like fallen branches and drainage issues created real risks. One rider described ending up in the emergency room after hitting a branch on the shoulder. The project produced clear recommendations for permanent "share the road" signage, more frequent debris removal, better maintenance and guidance for less experienced riders to use the adjacent canal trail. These findings will be shared with municipalities and land managers to help improve safety for the long term.

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