San Francisco, CA

AARP Community Challenge Grant Year: 2024

Project Category: Walk Audits

Description: San Francisco's Little Chinatown corridor lacked safe, accessible infrastructure for pedestrians, leaving older adults and people with disabilities at risk. The project conducted three walk audits with volunteers and local officials, documenting hazards and gathering input from business owners and parents. Findings highlighted needs for stop signs, improved bus stops and accessibility upgrades. A local business owner stated that these infrastructure improvements will increase safety and access. The audits sparked plans for placemaking improvements, including safety bollards and street art.

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

Milwaukee, WI

AARP Community Challenge Grant Year: 2025

Project Category: Walk Audits

Description: Jackson Park Community Association focused on unsafe streets surrounding a major neighborhood park where fast traffic and unclear crossings made walking stressful for residents, including older adults. Through a series of walk audits, residents, volunteers and local officials documented specific hazards and discussed solutions at key intersections. Findings were shared through community meetings and presentations to city leaders, grounding the conversation in lived experience. Volunteer feedback highlighted anxiety at crossings and concerns about speeding vehicles. The work helped inform reconstruction discussions and contributed to funding being allocated for future intersection improvements that support safer park access.

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

Stanton, TN

AARP Community Challenge Grant Year: 2025

Project Category: Walk Audits

Description: With local growth on the horizon, Stanton residents questioned whether it is safe to walk between key destinations. United Way of West Tennessee led two walk audits connecting the Ford Community Center, Town Hall and nearby businesses. Participants, many over age 50-plus, identifying missing sidewalks, limited crosswalks and streets that feel too fast. For many, it was the first chance to share detailed input on pedestrian safety. The findings are being presented to town leadership and partners, creating resident-driven priorities for sidewalks, crossings and traffic calming to guide future decisions.

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