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2013 · Space · SPIN Unit (self-initiated)

From Ballroom to Dead End — Tallinn Night Map

A DIY street-lighting sensor rig, driven and cycled through Tallinn at night, tested whether well-connected streets are also well-lit — one of SPIN Unit’s earliest experiments in building its own urban sensing hardware.

From Ballroom to Dead End — Tallinn Night Map

Does a street’s importance in the city network predict how well it’s lit? To test this, the team didn’t look for existing data — they built their own light-measuring instrument and drove and cycled it through Tallinn after dark.

Presented as a research poster, “From ballroom to dead end – Correlation between accessibility and illumination in street lighting,” at EAEA11 (the 11th conference of the European Architectural Envisioning Association, 2013, Track 1: “Visualizing Sustainability — making the invisible visible”), under the team’s original name, Spatial Intelligence Unit, based at the Estonian Academy of Arts.

A custom Arduino MEGA rig with three light sensors, a GPS module, and a temperature sensor for calibration logged readings every two seconds while driven (and, on pedestrian-only streets, cycled) through central and eastern Tallinn between April and June 2013 — 33,581 data points in total. Readings were compared against space-syntax accessibility measures (betweenness, integration, straightness, depth) computed for the same streets, using kernel density estimation to map where light intensity and network accessibility converge or diverge.

A self-built field study, from hardware assembly and calibration through several months of nighttime data collection to a finished A0 conference poster.

1 report to download
About the project
ClientSPIN Unit (self-initiated)
PlaceTallinn, Estonia
Year2013
LensSpace
TopicsLighting, Origin Story, Sensor Data, Space Syntax
What we found
Built entirely custom instrumentation — three TSL2561 light sensors plus GPS, logging every 2 seconds — rather than relying on existing lighting data.
Covered the full street network by switching data-collection mode: car for most roads, bicycle for pedestrian-only streets like Old Town.
Directly tested a real hypothesis (well-connected streets = well-lit streets) against multiple space-syntax metrics simultaneously, rather than a single accessibility measure.
The team reported the correlation as genuinely preliminary and inconclusive — a notably honest, non-oversold conclusion for a conference poster, flagging the need for a wider study area and more rigorous statistics.
Pictures

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