La Marque, TX

AARP Community Challenge Grant Year: 2024

Project Category: Bike Audits

Description: Older cyclists faced safety risks on local paths due to missing sidewalks and bike lanes. To address this, the city conducted bike audits that identified hazards and prioritized improvements. Volunteers age 50-plus contributed over 60 hours gathering input from residents and recommending changes such as bike lanes, sidewalks and better signage. The audits informed plans for new infrastructure on critical streets and raised awareness of pedestrian safety, strengthening the case for policy and funding support to advance long-term improvements.

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

Raleigh, NC

AARP Community Challenge Grant Year: 2024

Project Category: Bike Audits

Description: Older adults in Raleigh faced unsafe biking conditions and missing sidewalks, limiting mobility and access to transit. Oaks and Spokes launched bike audits on key corridors, engaging older residents and students to document hazards. Findings prompted City Council to adopt protected bike lanes on Brookside Drive and plan sidewalk improvements. A second audit on Garner Road highlighted urgent safety gaps and drew council attention during a live stream. These efforts accelerated infrastructure changes and built advocacy momentum for safer, age-friendly streets.

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

Santa Fe, NM

AARP Community Challenge Grant Year: 2024

Project Category: Bike Audits

Description: Santa Fe's lack of protected bike lanes left older adults and residents without cars navigating unsafe routes, including a highway between apartments and a shopping center. To address this, Bike Santa Fe completed six audits and shared findings with city leaders, influencing a bond-funded redesign and prompting supplemental funding for bike and pedestrian upgrades. Three audited sites are now slated for improvements within two years, and presentations helped officials and residents visualize safer connections for biking and walking.

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