Longmeadow, MA

Longmeadow, MA Infrastructure Assessment

Summary

• 94 roadway miles scanned with LiDAR; actionable pavement data delivered by November 4, 2022
• Weeks‑not‑months turnaround enabled faster fixes and safer daily travel for residents
• Data‑driven, defensible paving plan improved budget confidence and public communication

Problem

Longmeadow managed an aging road network with patchwork records and inconsistent surveys, making it difficult to see true pavement conditions across neighborhoods. With outdated or inconsistent data and no accurate paving budgets, staff could not forecast lifecycle costs or defend capital requests to the council. Without a clear prioritization method, the team was often reactive to complaints, fielding “Why not my road?” in meetings while potholes and rough rides disrupted school commutes and local business traffic.

Solution

To change this, Longmeadow selected Cyvl to survey 94 roadway miles using vehicle‑mounted LiDAR and high‑resolution sensors, capturing precise surface distress, geometry, and ride‑quality indicators in days. Cyvl’s Infrastructure Intelligence platform used AI to convert the raw data into block‑by‑block condition scores, prioritized repair and preservation lists, and ready‑to‑share reports, so city leaders could make defensible, data‑driven decisions. The full, actionable dataset and maps were delivered in weeks—by November 4, 2022—giving Longmeadow the clarity to launch a comprehensive, transparent paving program before the next construction window.

Impact

With objective data for every mile, Longmeadow moved from reactive and uncertain to confident and proactive planning. The city used the condition scores and priority lists to align work with safety, school, and commerce routes, accelerating fixes residents see and feel first. Faster delivery—weeks instead of months—shortened the time between data collection and project implementation, improving the efficient use of taxpayer dollars.

• 94 roadway miles captured and analyzed, giving block‑level clarity so crews schedule the right treatment the first time
• Dataset delivered on November 4, 2022 enabled earlier bid development and construction mobilization for the next season
• Residents experience faster pothole repairs and smoother travel because high‑priority segments are clearly identified and queued
• Town meetings run smoother with transparent maps, condition scores, and defensible budget asks that answer “Why this road, why now?”
• Fewer 311 complaints as communication improves and work plans are published with objective criteria
• Budget allocation, public communication, and crew scheduling are streamlined with trusted, up‑to‑date pavement data