Emissions Impossible – Clarifying Vehicle Kilometres Travelled (VKT) by Rigid and Trailer Combinations

The goal was to deliver a highly accurate breakdown of VKT for rigid and trailer combinations to inform transport policy, emissions reduction strategies, and freight efficiency initiatives.

Our Approach:

  • Geospatial Vehicle–Trailer Matching – Analysed GPS traces to accurately pair rigid vehicles with their active trailers across New Zealand’s road network.
  • RUC Class Aggregation – Classified trips by RUC category, ensuring that data aligned with regulatory frameworks and provided meaningful segmentation for analysis.
  • Comprehensive VKT Summary – Compiled detailed summaries of VKT by vehicle and trailer combinations within each RUC class, giving a granular picture of freight travel.

Key Findings:

  • Detailed VKT Distribution – Produced a clear breakdown of travel distances for each vehicle–trailer type, allowing for targeted freight policy analysis.
  • Operational Insights – Identified patterns in heavy vehicle usage across regions and industry types.
  • Environmental Relevance – Provided the baseline data needed to evaluate emissions from different freight configurations.

Impact:

  • Enhanced Policy Insight – Gave the Ministry of Transport a more precise understanding of freight movement, enabling smarter policy design.
  • Support for Emissions Reduction Goals – Informed strategies aimed at reducing the environmental impact of heavy vehicle operations.
  • Data-Driven Freight Planning – Supported targeted investment in infrastructure and regulatory measures to optimise 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.