Cargando…

Self-Organisation in Spatial Systems—From Fractal Chaos to Regular Patterns and Vice Versa

This study offers a new perspective on the evolutionary patterns of cities or urban agglomerations. Such developments can range from chaotic to fully ordered. We demonstrate that in a dynamic space of interactive human behaviour cities produce a wealth of gravitational attractors whose size and shap...

Descripción completa

Detalles Bibliográficos
Autores principales: Banaszak, Michal, Dziecielski, Michal, Nijkamp, Peter, Ratajczak, Waldemar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581867/
https://www.ncbi.nlm.nih.gov/pubmed/26402913
http://dx.doi.org/10.1371/journal.pone.0136248
_version_ 1782391635914522624
author Banaszak, Michal
Dziecielski, Michal
Nijkamp, Peter
Ratajczak, Waldemar
author_facet Banaszak, Michal
Dziecielski, Michal
Nijkamp, Peter
Ratajczak, Waldemar
author_sort Banaszak, Michal
collection PubMed
description This study offers a new perspective on the evolutionary patterns of cities or urban agglomerations. Such developments can range from chaotic to fully ordered. We demonstrate that in a dynamic space of interactive human behaviour cities produce a wealth of gravitational attractors whose size and shape depend on the resistance of space emerging inter alia from transport friction costs. This finding offers original insights into the complex evolution of spatial systems and appears to be consistent with the principles of central place theory known from the spatial sciences and geography. Our approach is dynamic in nature and forms a generalisation of hierarchical principles in geographic space.
format Online
Article
Text
id pubmed-4581867
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-45818672015-10-01 Self-Organisation in Spatial Systems—From Fractal Chaos to Regular Patterns and Vice Versa Banaszak, Michal Dziecielski, Michal Nijkamp, Peter Ratajczak, Waldemar PLoS One Research Article This study offers a new perspective on the evolutionary patterns of cities or urban agglomerations. Such developments can range from chaotic to fully ordered. We demonstrate that in a dynamic space of interactive human behaviour cities produce a wealth of gravitational attractors whose size and shape depend on the resistance of space emerging inter alia from transport friction costs. This finding offers original insights into the complex evolution of spatial systems and appears to be consistent with the principles of central place theory known from the spatial sciences and geography. Our approach is dynamic in nature and forms a generalisation of hierarchical principles in geographic space. Public Library of Science 2015-09-24 /pmc/articles/PMC4581867/ /pubmed/26402913 http://dx.doi.org/10.1371/journal.pone.0136248 Text en © 2015 Banaszak et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Banaszak, Michal
Dziecielski, Michal
Nijkamp, Peter
Ratajczak, Waldemar
Self-Organisation in Spatial Systems—From Fractal Chaos to Regular Patterns and Vice Versa
title Self-Organisation in Spatial Systems—From Fractal Chaos to Regular Patterns and Vice Versa
title_full Self-Organisation in Spatial Systems—From Fractal Chaos to Regular Patterns and Vice Versa
title_fullStr Self-Organisation in Spatial Systems—From Fractal Chaos to Regular Patterns and Vice Versa
title_full_unstemmed Self-Organisation in Spatial Systems—From Fractal Chaos to Regular Patterns and Vice Versa
title_short Self-Organisation in Spatial Systems—From Fractal Chaos to Regular Patterns and Vice Versa
title_sort self-organisation in spatial systems—from fractal chaos to regular patterns and vice versa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581867/
https://www.ncbi.nlm.nih.gov/pubmed/26402913
http://dx.doi.org/10.1371/journal.pone.0136248
work_keys_str_mv AT banaszakmichal selforganisationinspatialsystemsfromfractalchaostoregularpatternsandviceversa
AT dziecielskimichal selforganisationinspatialsystemsfromfractalchaostoregularpatternsandviceversa
AT nijkamppeter selforganisationinspatialsystemsfromfractalchaostoregularpatternsandviceversa
AT ratajczakwaldemar selforganisationinspatialsystemsfromfractalchaostoregularpatternsandviceversa