Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.

Do scaling relations always provide the means to anticipate the relationships between the size of cities, costs of maintenance, and the socio-economic benefits resulting from their growth? Scaling laws are considered a universal principle that describes the development of complex systems such as cit...

Full description

Bibliographic Details
Main Authors: Krzysztof Cebrat, Maciej Sobczyński
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5179107?pdf=render
id doaj-2acd5cad8a8c4247a6c11fb3ae325654
record_format Article
spelling doaj-2acd5cad8a8c4247a6c11fb3ae3256542020-11-25T02:33:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016875310.1371/journal.pone.0168753Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.Krzysztof CebratMaciej SobczyńskiDo scaling relations always provide the means to anticipate the relationships between the size of cities, costs of maintenance, and the socio-economic benefits resulting from their growth? Scaling laws are considered a universal principle that describes the development of complex systems such as cities. It seems that regardless of their location or history, the growth of cities is associated with the super-linear or sublinear scaling of features such as the amount of space required, infrastructure, or human activities. However, the results of our research, based on grouping by Self-Organizing Maps, reveal some limitations in the application of scaling laws: the trends of urban growth behave in a different manner when we consider both a large and diverse collection of cities and a subset of cities alike. This finding complements the existing body of knowledge on the growth of cities and allows for a more accurate prediction of their future.http://europepmc.org/articles/PMC5179107?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Krzysztof Cebrat
Maciej Sobczyński
spellingShingle Krzysztof Cebrat
Maciej Sobczyński
Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.
PLoS ONE
author_facet Krzysztof Cebrat
Maciej Sobczyński
author_sort Krzysztof Cebrat
title Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.
title_short Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.
title_full Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.
title_fullStr Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.
title_full_unstemmed Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps.
title_sort scaling laws in city growth: setting limitations with self-organizing maps.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description Do scaling relations always provide the means to anticipate the relationships between the size of cities, costs of maintenance, and the socio-economic benefits resulting from their growth? Scaling laws are considered a universal principle that describes the development of complex systems such as cities. It seems that regardless of their location or history, the growth of cities is associated with the super-linear or sublinear scaling of features such as the amount of space required, infrastructure, or human activities. However, the results of our research, based on grouping by Self-Organizing Maps, reveal some limitations in the application of scaling laws: the trends of urban growth behave in a different manner when we consider both a large and diverse collection of cities and a subset of cities alike. This finding complements the existing body of knowledge on the growth of cities and allows for a more accurate prediction of their future.
url http://europepmc.org/articles/PMC5179107?pdf=render
work_keys_str_mv AT krzysztofcebrat scalinglawsincitygrowthsettinglimitationswithselforganizingmaps
AT maciejsobczynski scalinglawsincitygrowthsettinglimitationswithselforganizingmaps
_version_ 1724815426566750208