On the Statistics of Urban Street Networks

TL;DR

This paper explores urban street networks using principles from information and statistical physics, viewing them as evolving social systems in a state of logarithmic entropic equilibrium.

Contribution

It introduces a novel framework applying physics concepts to analyze the structure and evolution of urban street networks.

Findings

Urban street networks exhibit properties consistent with entropic equilibrium.

The framework provides insights into the organization and dynamics of city layouts.

Potential applications in urban planning and network optimization.

Abstract

We investigate urban street networks as a whole within the frameworks of information physics and statistical physics. Urban street networks are envisaged as evolving social systems subject to a logarithmical entropic equilibrium.