Taylor, TX

AARP Community Challenge Grant Year: 2025

Project Category: Bike Audits

Description: Downtown Taylor lacked safe cycling conditions and adequate bike parking, leaving older cyclists and local businesses concerned about safety and access. Good Life Taylor conducted bike audits to document hazards and found that business owners wanted more foot traffic and safer places to park bikes. The effort informed a plan to install eight secure racks in key downtown areas and provided data to guide next steps with local boards. A volunteer who survived a serious crash shared her story, highlighting the urgency of safer streets and strengthening advocacy for long-term improvements.

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

Yavapai County, AZ

AARP Community Challenge Grant Year: 2024

Project Category: Bike Audits

Description: Older adults who rely on bikes faced unsafe conditions in Cottonwood and Clarkdale due to missing bike lanes and poor signage. To address this, volunteers conducted 12 audits over three months, counting 270 cyclists and identifying critical safety gaps, including the need for specialty markings and education on helmet use. The findings now guide city planning and advocacy for bike lanes and multi-use paths, prompting collaboration with local councils.

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.