Lancaster, PA

AARP Community Challenge Grant Year: 2026

Project Category: Walk Audits

Description: Several walk audits will assess priority downtown routes with older adult and intergenerational volunteers. Community meetings will share findings that inform the development of safety education materials.

Missoula, MT

AARP Community Challenge Grant Year: 2024

Project Category: Walk Audits

Description: Missoula's farmers markets are vital for older adults using SNAP. Yet uneven brick streets, steep ramps and missing sidewalks make access difficult. To address this, the Coalition led walk audits at three markets, covering 2.1 miles and 23 intersections with more than 40 volunteers, including older adults. Audits revealed hazards like debris and poor crossings and tested a mock Neighborway with painted paths and planters to show safer routes. Findings prompted city leaders to integrate accessibility audits into future planning and advanced momentum for permanent improvements. Participants spoke highly of the Neighborway and felt safer having a dedicated space for non-motorized traffic.

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

Los Angeles, CA

AARP Community Challenge Grant Year: 2025

Project Category: Walk Audits

Description: Older adults in a South Los Angeles neighborhood struggled with cracked sidewalks, missing curb ramps and poor lighting that made short trips feel risky and limited independence. Los Angeles Walks organized a walk audit designed so older adults could safely participate, offering both walking and ride options. Guided by advocates, participants pointed out barriers, shared daily experiences and documented how street conditions affect routine trips to the community center, shops and transit. The audit gave older adults a platform to be heard and strengthened local advocacy for safer streets. One participant said, "I was thinking about my mother and feeling frustrated that the government doesn't listen when we report uneven walkways." The process increased confidence among participants and helped build trust with public agencies, informing future efforts to improve access and safety.

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