Marlette, MI

AARP Community Challenge Grant Year: 2025

Project Category: Pedestrian Safety

Description: The Heartlands addressed pedestrian safety concerns inside its local living community for older adults, where residents regularly walk through a busy internal intersection with limited visibility and unclear wayfinding. Long identified as a need, the project added a highly visible three dimensional crosswalk and new directional signage to slow traffic and help residents and visitors navigate the campus more safely. Volunteers and staff also completed landscaping and tree planting to improve comfort and visibility along walking routes. The changes created clearer paths and greater peace of mind for residents who spend time outdoors, and reinforced existing efforts to encourage walking and daily activity. One volunteer noted how the new crosswalk created a safe, clearly marked path that made residents feel more confident being active outside.

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

Randolph, VT

AARP Community Challenge Grant Year: 2025

Project Category: Pedestrian Safety

Description: This project will enhance pedestrian safety at key downtown crosswalks by installing a Rectangular Rapid Flashing Beacon (RRFB) and safety flags.

Los Angeles, CA

AARP Community Challenge Grant Year: 2025

Project Category: Pedestrian Safety

Description: Older adults faced safety risks when parked cars blocked visibility at crosswalks, even after a new daylighting law was adopted. Outreach was challenging in communities experiencing fear and disruption tied to enforcement activity. Los Angeles Walks used small, trust-based workshops and walk audits to explain daylighting through arts-based activities and bilingual discussion rather than ticketing. One organizer noted that older adults still found ways to lead quiet, neighbor-to-neighbor education. The project strengthened understanding of daylighting and supported continued advocacy for safer intersections.

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