Universal roughness and the dynamics of urban expansion

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Marquis, Ulysse, Artime, Oriol, Gallotti, Riccardo, Barthelemy, Marc
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866915592994291712
author Marquis, Ulysse
Artime, Oriol
Gallotti, Riccardo
Barthelemy, Marc
author_facet Marquis, Ulysse
Artime, Oriol
Gallotti, Riccardo
Barthelemy, Marc
contents Urban sprawl reshapes cities, yet its quantitative laws remain elusive. Analyzing built-up expansion in 19 cities (1985-2015) with tools from surface growth physics in radial geometry, we reveal anisotropic, branch-like growth and a piecewise linear scaling between area and population. We uncover a robust local roughness exponent $α_{\text{loc}}\approx 0.54$, coexisting with variable $β$ and $z$. This unusual coexistence of universal and variable exponents offers a rare empirical testbed for nonequilibrium growth and an empirical basis for modeling urban sprawl.
format Preprint
id arxiv_https___arxiv_org_abs_2506_10656
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Universal roughness and the dynamics of urban expansion
Marquis, Ulysse
Artime, Oriol
Gallotti, Riccardo
Barthelemy, Marc
Physics and Society
Disordered Systems and Neural Networks
Statistical Mechanics
Urban sprawl reshapes cities, yet its quantitative laws remain elusive. Analyzing built-up expansion in 19 cities (1985-2015) with tools from surface growth physics in radial geometry, we reveal anisotropic, branch-like growth and a piecewise linear scaling between area and population. We uncover a robust local roughness exponent $α_{\text{loc}}\approx 0.54$, coexisting with variable $β$ and $z$. This unusual coexistence of universal and variable exponents offers a rare empirical testbed for nonequilibrium growth and an empirical basis for modeling urban sprawl.
title Universal roughness and the dynamics of urban expansion
topic Physics and Society
Disordered Systems and Neural Networks
Statistical Mechanics
url https://arxiv.org/abs/2506.10656