2011/01/01 by Serge Salat, Loeiz Bourdic · 24 citations
Computer Science · Economics, Econometrics and Finance · Engineering · Environmental Science · Mathematics · #Chaos, Complexity, and Education #Complex Systems and Time Series Analysis #Computer science #Energy (signal processing) #Engineering #Law #Mathematics #Physics #Political science #Power (physics) #Sustainability and Ecological Systems Analysis #Thermodynamics
paper · doi:10.1016/j.proeng.2011.11.2130
published in Procedia Engineering 21, 1193-1198 (Elsevier BV)
openalex publication_date 2011/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
Urban complexity is a hard-to-grasp concept. This paper firstly aims at investigating this issue through the prism of scale-hierarchic distributions: fractals, power laws, Zipf's laws and Pareto distributions. Authors notably emphasize the mathematical proximity between these distributions. Building on the convergence of Prigogine's dissipative structure theory, industrial ecology and Bejan's constructal law, authors then stress the crucial role that power law distributed complex urban structures have to play to make cities energy efficient and resilient.