Reno, NV

AARP Community Challenge Grant Year: 2024

Project Category: Walk Audits

Description: Uneven sidewalks, unsafe intersections and disrepair in Reno's dining districts made walking difficult, especially for older adults. The organization led walk audits in three districts, gathering firsthand observations and community feedback, even during snowy conditions, to capture real-world challenges. Data from these audits will guide future design and connectivity improvements and strengthen advocacy for upgrades. One participant who attended a pre-walk meeting said that she was encouraged to learn, engage and provide feedback, and she then rallied others to complete the route.

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

Albany, NY

AARP Community Challenge Grant Year: 2024

Project Category: Walk Audits

Description: In Albany's South End, unsafe streets and concerns about violence make walking risky for residents who rely on it as their main transportation. To address this, the organization led 10 walk audits across key blocks, engaging 27 older adults to pinpoint hazards and recommend improvements. Findings will guide advocacy for safer streetscapes and violence prevention. One participant said she was thankful someone was doing an audit in her neighborhood, which she felt was often overlooked.

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

New York, NY

AARP Community Challenge Grant Year: 2025

Project Category: Walk Audits

Description: Older adults navigating dense city neighborhoods often face hidden accessibility barriers, from uneven sidewalks to businesses that are difficult to enter. Without clear, shared information, these obstacles can limit independence and everyday movement. AXS Lab addressed this gap by hosting three community mapping events that invited residents to document real-world accessibility conditions using walk audits and digital mapping tools. Participants reviewed streets, parks and businesses and contributed hundreds of observations based on lived experience. The effort supported conversations with local officials and community partners and helped businesses better understand accessibility needs. By turning on-the-ground knowledge into shared data, the project strengthened community awareness and created a foundation for ongoing advocacy focused on improving access for older adults.

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