Hampton, NH

Hampton, NH Infrastructure Assessment

Summary

• Weeks, not months: complete pavement condition dataset delivered by May 20, 2024
• 79 roadway miles scanned and analyzed to guide faster, safer street improvements for residents
• Clear, defensible paving plan that focuses efforts where they matter most for taxpayers

Problem

Hampton’s public works team needed to stretch limited paving dollars while proving to residents that projects were chosen fairly and effectively. Outdated or inconsistent roadway data meant they didn’t know which roads to fix or when, and they lacked a clear prioritization method to build a defensible paving plan. The team spent too much energy reacting to complaints and answering “Why not my road?” at meetings without objective evidence to back decisions.

Solution

The Town selected Cyvl to rapidly survey the entire street network using vehicle-mounted LiDAR and sensors, scanning 79 roadway miles to capture precise surface and geometry data. Within weeks, Cyvl’s Infrastructure Intelligence platform used AI to turn raw scans into detailed, actionable pavement condition scores, corridor-level distress analytics, and network dashboards. With this trusted dataset, Hampton produced prioritized repair lists and a comprehensive, defensible paving plan in less time, supported by clear reports the team can share with leadership and residents.

Impact

By May 20, 2024, Hampton had a complete, current pavement condition dataset for 79 roadway miles—delivered in weeks rather than months—so crews could move from planning to action faster. Objective condition scores and maps gave leaders the evidence to communicate trade-offs, schedule work efficiently, and show responsible use of taxpayer funds. Residents benefit from quicker responses to surface issues and more predictable paving schedules because decisions are now driven by recent, defensible data.

• Full pavement condition coverage of 79 roadway miles enabled targeted maintenance and resurfacing to start sooner
• Faster response to potholes and surface defects as crews receive prioritized work lists and map-based assignments
• Smoother town meetings with clear visuals and data that explain why streets are scheduled when they are
• Fewer duplicate 311 complaints as residents see proactive updates and work happening on schedule
• Stronger, data-driven budget requests that align spending with need and demonstrate efficient use of taxpayer dollars
• Planning, public communication, and work scheduling are streamlined inside the platform, reducing admin time and accelerating projects
• A repeatable, refreshable data process keeps the network plan current without slow, manual surveys, sustaining safer roads for families and businesses