Webinar: Determining the Minimum Data Requirements to Progress Pedestrian Safety

This webinar will present the development and application of the Minimum Data Requirements for Pedestrian Safety Guideline and its supporting research. Participants will gain an overview of the challenges associated with inconsistent and incomplete pedestrian safety data, and why a nationally consistent approach is critical for monitoring outcomes and targeting investment.

The session will explain how the research identified and prioritised pedestrian safety data sets, distinguishing between “ideal” and “minimum” requirements based on cost, effort, and contribution to safety outcomes. It will highlight the recommended minimum data framework, covering exposure and demographics, crashes and injuries, and physical environment data across strategic, tactical and site levels.

Attendees will also learn practical approaches to data collection, use of proxy measures, current gaps, and emerging opportunities to improve pedestrian safety monitoring and decision-making in transport agencies.

This webinar will be presented by John Lieswyn and Glen Koorey, with a Q+A moderated by Phil Harbutt.

No Charge, but registration is essential. Can’t make the live session? Register to receive a link to the recording. Register now.

Glen Koorey is a Director and Principal Transportation Engineer at ViaStrada. With over 25 years’ experience across consultancy, research, and academia, Glen specialises in road safety, speed management, and walking and cycling. He has led and contributed to numerous national guidelines and research projects, combining technical expertise with practical applications. Glen brings a systems perspective to understanding safety data and its role in improving outcomes for people walking.

John Lieswyn is a Director and Principal Transportation Planner at ViaStrada. John has 20 years' experience in transport data collection, management, and analysis, leading programmes involving multimodal counts, parking surveys, accessibility audits, and large-scale data frameworks. He combines field data collection with GIS tools, database development, and advanced analytical techniques such as demand modelling and regression analysis. His work focuses on turning complex datasets into clear, decision-ready insights, including dashboards, prioritisation tools, and evidence for planning and investment decisions.