The goal was to provide Auckland University with high-quality, anonymised GPS data illustrating aggregate supply chain behaviour to strengthen research into its effects on investment projects.
Our Approach:
- Data Collection & Anonymisation – Tracked aggregate truck movements from quarries to work zones using GPS data, then aggregated and anonymised all records to protect commercial confidentiality.
- Example Dataset Provision – Created representative datasets showing trip frequency, route choice, and travel durations to illustrate typical aggregate delivery patterns.
- Integration into Research Framework – Delivered the datasets in a format compatible with Auckland University’s analysis workflows, enabling seamless incorporation into their study.
Key Findings:
- Supply Chain Visualisation – Provided clear examples of how aggregates move through New Zealand’s transport network from extraction sites to construction zones.
- Operational Insight – Highlighted the frequency and distribution of aggregate deliveries, enabling consideration of network impacts and bottlenecks.
- Research Enrichment – Strengthened Auckland University’s ability to analyse the relationship between supply reliability and infrastructure project delivery timelines.
Impact:
- Support for Waka Kotahi – Enabled the NZ Transport Agency to better understand aggregate supply dynamics, informing infrastructure planning and investment sequencing.
- Evidence-Based Policy Support – Contributed to policy discussions on how to manage aggregate supply to avoid delays and cost overruns.
- Academic Contribution – Supported the production of research with practical applications in infrastructure delivery and supply chain optimisation.
