Self-organized social distancing
Anne Buijsrogge (TU Delft - Applied Probability)
Jan Tino Brethouwer (TU Delft - Applied Probability)
Arnout van de Rijt (European University Institute, San Domenico di Fiesole)
Roy Lindelauf (Netherlands Defence Academy, Tilburg University)
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Abstract
During previous pandemics, social distancing was organized top-down, through the imposition of a minimum distance. An alternative approach toward social distancing asks individuals to try to maximize their distance to others. Here, we ask whether people can thus efficiently self-organize spatial arrangements. We studied 953 social distancing decisions made in 150 groups under controlled conditions. Results show that subject behavior approximates what optimal mathematical strategies achieve. At scale, the observed behavior produces greater distancing than the mere respecting of an externally imposed minimum distance. These findings suggest that the encouragement of maximal distancing may reduce the propagation of viruses that spread through close-range contact beyond what is achieved with minimum-distance policies alone.
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