IA idea · Geometry, trigonometry & Voronoi diagrams

Voronoi diagrams in a grid city: Euclidean or taxicab distance?

AI SLAI HLAA HL Ambitious Also in: Pure maths, Networks & graphs

Research question

How different are the Voronoi regions of the fire stations in [a grid-plan city] under Euclidean and taxicab (Manhattan) distance, and which better predicts the real nearest station by road?

Adapt it: change the place, the data or the comparison until the question is yours.

Why it makes a good exploration

In a city with a street grid, vehicles cannot drive diagonally. Taxicab distance changes the shape of Voronoi cells completely — and comparing both with real road distances is a genuinely original analysis.

The mathematics you'll need

  • Euclidean and taxicab metrics
  • Bisectors under the taxicab metric (piecewise lines)
  • Voronoi construction by hand and technology
  • Testing predictions with sampled points

Course labels show where a technique sits; using maths from outside your course is fine if you explain it clearly and say it is new to you.

Where the data comes from

Station coordinates from OpenStreetMap for a city with a grid layout; check nearest stations by road using an online map for 20 sample points.

  • OpenStreetMap — Free map with exact coordinates of schools, hospitals, shops and stations; export or read off coordinates.
  • GeoGebra — Free geometry and graphing software — Voronoi diagrams, loci and regression built in.

Cite every source in a footnote where you use it and in your bibliography. Check the licence of any dataset you download.

A possible outline

  1. Introduce the taxicab metric and its “circles”.
  2. Derive the shape of a taxicab bisector.
  3. Build both diagrams.
  4. Test 20 sample addresses against real road distances.
  5. Reflect on one-way streets, rivers and diagonal avenues.

Pitfalls that cost marks

  • Choosing a city without a grid.
  • Drawing taxicab bisectors as straight lines.
  • Sampling points in a biased way.

Showing personal engagement

  • Choose a city you have visited.
  • Predict which metric will win and why.
  • Draw a taxicab circle and explain what it means for response time.

See Criterion C: personal engagement for what examiners look for.

Taking it further

Consider a rotated grid or a city with major diagonals and define a hybrid metric.

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