Rochester Trail Riders

21: Lehigh Valley Trail Part 1 - Horse Friendly Trails

Lindsay LaBella Episode 21
Audio Player
00:00
00:00 | 08:07

Join Lindsay LaBella, a seasoned trail rider with a knack for adventure, as she embarks on a picturesque journey along the historic Lehigh Valley Trail in Monroe County, New York. In this episode, the first of a potential three-part series, Lindsay takes listeners on a detailed tour from River Road in Caledonia to Rush, New York. Covering the first five miles of this storied trail, she shares her experiences, tips, and the unique challenges of navigating a trail designed for both historical significance and modern-day recreation.

The Lehigh Valley Trail, once a bustling railroad route critical to anthracite coal transportation, now serves as a peaceful multi-use path through the heart of New York, connecting Buffalo to New York City with stops in Victor, Mendon, and Rush. Lindsay discusses the trail’s transformation from a railroad to a recreational haven, completed in 2004, offering insights into its features like bridges, underpasses, and the diverse uses it accommodates, including hiking, biking, and equestrian activities.

This episode is not just a trail guide but a real-time exploration of the conditions and amenities of the trail, such as parking logistics for trailers, path maintenance, and the coexistence with other trail users. Lindsay’s morning adventure also touches on the local flora and challenges like narrow paths and overgrown sections that may affect trail use.

Tune in to "Rochester Trail Riders" for an engaging narrative that combines historical context, practical advice, and Lindsay’s personal anecdotes from her trail riding experiences. Whether you’re an equestrian enthusiast or a casual hiker, this podcast provides valuable insights into enjoying and respecting the serene yet vibrant pathways of the Lehigh Valley Trail.

Rochester Trail Riders
https://www.rochestertrailriders.com

People on this episode

Podcasts we love

Check out these other fine podcasts recommended by us, not an algorithm.