Boston, MA

AARP Community Challenge Grant Year: 2025

Project Category: Walk Audits

Description: WalkUP Roslindale focused on pedestrian safety issues in Roslindale Square that made everyday walking difficult for older adults and people using wheelchairs. Cracked sidewalks, missing or damaged curb ramps and short crossing times at busy intersections forced some residents into traffic to keep moving. The group led three walk audits that engaged more than 35 residents age 50 and over, documenting hazards along key routes. The audits prompted action by city departments, including temporary repairs to heaved sidewalks, fixes to curb cuts and added crossing time at a nearby intersection. One wheelchair user participated in all three audits and shared video of barriers that made a short trip unsafe, helping push repairs within weeks. The project elevated lived experience into ongoing transportation planning, ensuring pedestrian safety remains visible as longer term changes in the square move forward.

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

Lemon Grove, CA

AARP Community Challenge Grant Year: 2026

Project Category: Walk Audits

Description: Multiple walk audits will examine walkability needs in a historic and commercial district. Community meetings will present findings to inform city repair priorities.

Choteau, MT

AARP Community Challenge Grant Year: 2025

Project Category: Walk Audits

Description: Older adults in Choteau often struggled to reach essential places because of uneven sidewalks, scarce curb cuts and hard-to-navigate intersections. City leaders often lacked data to address these daily obstacles. Walk audits invited residents to identify hazards and document heavily used intersections with the AARP Walk Audit Toolkit. Sharing results with the community sparked dialogue about challenges tied to reaching the post office, library and pharmacy. One participant described walking in the street during winter due to bad sidewalks, later saying she was grateful to have her experience recorded as part of a broader effort. The data is now informing planning discussions and future funding applications that aim to create safer routes and guide long-term improvements.

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