Hamilton City Council – Understanding Freight Network Usage

The goal was to create a reliable, standardised view of freight activity across Hamilton’s transport network, enabling data-driven operational planning and infrastructure investment decisions.

Our Approach:

  • Data Extraction & Standardisation – Processed millions of freight trip records within the Hamilton area, mapping each trip to OpenStreetMap road segments for consistency.
  • GIS API Integration – Built an API to deliver the processed dataset directly into Hamilton City Council’s GIS platforms, ensuring seamless access and ongoing updates.
  • Visualisation & Dashboarding – Enabled the creation of a multi-modal dashboard showing key freight routes, high-traffic corridors, and network congestion points.

Key Findings:

  • Critical Freight Routes Identified – Mapped the most frequently used freight corridors, highlighting their importance to city operations.
  • Congestion & Delay Points – Identified intersections and road sections causing delays for heavy vehicles.
  • Infrastructure Stress Areas – Flagged routes likely to experience accelerated wear and tear due to heavy vehicle volumes.

Impact:

  • Emergency Maintenance Planning – Provided the data needed to minimise disruption by planning works outside of key freight operational windows.
  • Signal Optimisation – Supported the adjustment of traffic signals to improve freight flow and reduce delays.
  • Strategic Infrastructure Investment – Directed funding and upgrades to where they would have the most impact on freight efficiency.

Why Work With Robinsight

Privacy First

We align with New Zealand’s Data Protection and Use Policy and data.govt.nz stewardship standards to protect privacy at every step.

Bespoke Analysis

We start with your specific transport question, then design data pipelines and models to answer it precisely.

Proven Methods

From spatial–temporal matching to machine learning, we apply the right tools to deliver regulator-aligned, decision-ready outputs.