Portland State University – Assessing the Impact of Covid-Imposed Regulatory Relaxations on Truck Parking and ELD Hours

The goal was to quantify the behavioural impacts of Covid-19 ELD regulation relaxations, providing evidence for evaluating future policy adjustments that balance safety with operational flexibility.

Our Approach:

  • Trip Analysis – Analysed GPS data for all trips entering or leaving Oregon, identifying stop locations and classifying them as inside or outside carrier facilities.
  • ELD Break Behaviour Assessment – Measured driving time before mandated ELD breaks for both pre-Covid and post-Covid periods to detect behavioural changes.
  • Data Integration & Comparative Analysis – Combined parking and ELD timing data into a single framework, enabling direct comparison between the two timeframes.

Key Findings:

  • Shift in Break Timing – Evidence of changes in the length of drive time before taking an ELD break under relaxed regulations.
  • High-Use Parking Locations – Identified parking hotspots outside carrier facilities, providing insight into infrastructure demand.
  • Policy-Relevant Behaviour Changes – Highlighted adjustments in compliance patterns that could influence future regulatory frameworks.

Impact:

  • Support for Policy Evaluation – Equipped Portland State University with empirical evidence to assess the real-world effects of regulatory changes.
  • Parking Infrastructure Insight – Provided data on where improvements or additional capacity could alleviate parking shortages.
  • Academic Contribution – Findings are being formalised into a research paper, expanding the academic and industry discourse on regulatory flexibility.

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.