Public Transport + Public Life

Understanding the relationship between public transport and public life starts with understanding that movement shapes activity. When access improves, patterns of foot traffic, dwell time, and space usage shift. Traditional transport metrics such as ridership, travel time, efficiency, tell us how people move, but to you need to measure what happens once people arrive: where they go, how long they stay, and how they use space, to fully understand the impact on the city itself,

In Melbourne, improvements to tram frequency and legibility in the CBD have been linked to consistent increases in pedestrian volumes along key corridors, with some streets recording double-digit growth over time. In Perth, rail upgrades and station improvements have been associated with measurable increases in foot traffic and activity in adjacent centres, particularly during off-peak periods. These are not just transport outcomes, they reflect shifts in how people use and occupy the city.

We see similar patterns emerging in Wellington, where high public transport into the CBD correlates with strong pedestrian activity and consistent street-level vitality throughout the day.

This is where baseline measurement becomes critical. Without a clear understanding of how places function before a major intervention, it’s difficult to isolate what has changed. Capturing pre-project data, including pedestrian volumes, movement patterns and dwell behaviour, creates a reference point that allows for meaningful comparison over time. It enables decision-makers to identify where activity increases, where patterns shift, and where outcomes differ across locations.

Our role in the pre-CRL survey work has been to build that baseline. Ahead of the City Rail Link coming online, we’ve been out on the ground collecting detailed data on how people currently move through the city centre. This includes systematic counts, mapping of key movement lines, and structured observations of behaviour; comparable data that can support clear interpretation over time.

As CRL begins operation, this dataset becomes a tool for understanding change as it happens. It allows for before-and-after analysis that goes beyond headline patronage figures, helping to explain how public transport investment translates into real-world urban activity.