Scaling laws for transit times in surface and orbital cities2AI Labs / Dr. Timothy P. Barber / March 18, 2026
The efficiency of point-to-point travel in urban or habitat systems is largely determined by the average shortest path length between locations, a fundamental measure of network connectivity that quantifies how "small-world" a spatial graph appears to its inhabitants [1]. Here we compare the average shortest grid-distance (Manhattan metric) for point to point travel in four different city geometries. We model a planet-bound city as a square of side length R. Average Manhattan distance from point to point is 1/3 of each offset, so 2R/3 total. City area is A = R2, thus average distance is 0.67√A. The torus is a long strip of land. We choose the Stanford [2] variant with width set equal to 1/5 the radius. The average point to point distance is 1/4 the circumference, plus 1/3 the width. This is 2πR/4+R/15 = 1.64R. Torus area is A = 1.26R2, thus average distance is 1.46√A. A cylinder habitat is like a square city with literal wraparound in one direction. We choose the O'Neill [3] variant, with length equal to 8 times the radius. The average point to point distance is 1/3 the length, plus 1/4 the circumference. This is 8R/3 + 2πR/4 = 4.23R. Cylinder area is A = 50.2R2, thus average distance is 0.60√A. The inhabited region of a Spiral [4] ranges from 0.6g to 1.0g. The lengthwise midpoint is at 0.82R. We can model distance in the spiral as a torus of this radius, with 8 lifts to get to the other levels. Note 1/8 of the time the points are in the same wedge, with expected distance 1/3 the distance between lifts, plus 1/3 the width. This is 2π(0.82)R/24 + (R/1.8)/3. The rest of the time the expected distance is 1/4 the circumference, plus 1/3 the width. This is 2π(0.82R)/4 + (R/1.8)/3. Weighting and adding yields 1.34R. Spiral area is A = 36R2, thus average distance scales as 0.22√A. In a 100 square mile city one should expect an average point to point distance as follows:
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