AR crowdsourcing: putting citizens at the centre of city design

Public consultation about city design is mostly broken. A plan goes on display, a notice appears, a handful of people attend a meeting in a community hall, and a few comment cards come back. The output is a thin slice of opinion from whoever had a free Tuesday evening — and it arrives as words, not as decisions a planner can actually use.

Augmented reality offers a different deal. What if residents could stand on their own street and place the change themselves — a tree here, a bench there, a bike lane along this edge — and see it anchored to the real world at full scale?

From opinions to decisions

This is the core idea behind the AR Crowdsourcing project: a universal AR app that lets anyone position simple urban elements — trees, benches, bins, basic infrastructure — onto the real environment around them. Instead of asking “do you like this proposal?”, it asks “what would you put here?” and records the answer as a precise, located choice.

That shift — from opinion to located decision — is what makes the data useful. A planner doesn’t get a pile of comments; they get a crowdsourced map of what residents actually want, where they want it.

How it works

• Place. Residents drop digital infrastructure as holograms onto the real world, at city scale, through their phone.
• Track. The system stores those choices anonymously and analyses them in aggregate — patterns, not individuals.
• Report. The output is a set of recommendations for the planning process, grounded in what the community proposed rather than what a single firm assumed.

The expert doesn’t disappear. The architect’s spatial judgement combines with thousands of small, located decisions from the people who’ll actually live there.

Why it matters

Cities built with their residents get used, maintained, and loved in a way that top-down plans rarely are. Participation isn’t a nice-to-have box to tick — it’s a long-term driver of whether a place works. AR makes participation concrete and spatial instead of abstract and verbal, and it scales to a whole neighbourhood instead of one church hall.

It’s another case of spatial intelligence in the real world: software that understands a place well enough to let ordinary people design within it, and turns the result into something decision-makers can act on.

The cautions

Two things keep it honest. First, privacy: collect located choices, not personal movement profiles. Second, representativeness — make the tool genuinely easy and accessible, or you simply digitise the same loud minority. Done well, AR crowdsourcing widens who gets a say. Done carelessly, it just gives the confident a slicker megaphone.