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The angular nature of road networks
Road networks are characterised by several structural and geometrical properties. The topological structure determines partially the hierarchical arrangement of roads, but since these are networks that are spatially constrained, geometrical properties play a fundamental role in determining the netwo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487334/ https://www.ncbi.nlm.nih.gov/pubmed/28655898 http://dx.doi.org/10.1038/s41598-017-04477-z |
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author | Molinero, Carlos Murcio, Roberto Arcaute, Elsa |
author_facet | Molinero, Carlos Murcio, Roberto Arcaute, Elsa |
author_sort | Molinero, Carlos |
collection | PubMed |
description | Road networks are characterised by several structural and geometrical properties. The topological structure determines partially the hierarchical arrangement of roads, but since these are networks that are spatially constrained, geometrical properties play a fundamental role in determining the network’s behaviour, characterising the influence of each of the street segments on the system. In this work, we apply percolation theory to the UK’s road network using the relative angle between street segments as the occupation probability. The appearance of the spanning cluster is marked by a phase transition, indicating that the system behaves in a critical way. Computing Shannon’s entropy of the cluster sizes, different stages of the percolation process can be discerned, and these indicate that roads integrate to the giant cluster in a hierarchical manner. This is used to construct a hierarchical index that serves to classify roads in terms of their importance. The obtained classification is in very good correspondence with the official designations of roads. This methodology hence provides a framework to consistently extract the main skeleton of an urban system and to further classify each road in terms of its hierarchical importance within the system. |
format | Online Article Text |
id | pubmed-5487334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54873342017-06-30 The angular nature of road networks Molinero, Carlos Murcio, Roberto Arcaute, Elsa Sci Rep Article Road networks are characterised by several structural and geometrical properties. The topological structure determines partially the hierarchical arrangement of roads, but since these are networks that are spatially constrained, geometrical properties play a fundamental role in determining the network’s behaviour, characterising the influence of each of the street segments on the system. In this work, we apply percolation theory to the UK’s road network using the relative angle between street segments as the occupation probability. The appearance of the spanning cluster is marked by a phase transition, indicating that the system behaves in a critical way. Computing Shannon’s entropy of the cluster sizes, different stages of the percolation process can be discerned, and these indicate that roads integrate to the giant cluster in a hierarchical manner. This is used to construct a hierarchical index that serves to classify roads in terms of their importance. The obtained classification is in very good correspondence with the official designations of roads. This methodology hence provides a framework to consistently extract the main skeleton of an urban system and to further classify each road in terms of its hierarchical importance within the system. Nature Publishing Group UK 2017-06-27 /pmc/articles/PMC5487334/ /pubmed/28655898 http://dx.doi.org/10.1038/s41598-017-04477-z Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Molinero, Carlos Murcio, Roberto Arcaute, Elsa The angular nature of road networks |
title | The angular nature of road networks |
title_full | The angular nature of road networks |
title_fullStr | The angular nature of road networks |
title_full_unstemmed | The angular nature of road networks |
title_short | The angular nature of road networks |
title_sort | angular nature of road networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487334/ https://www.ncbi.nlm.nih.gov/pubmed/28655898 http://dx.doi.org/10.1038/s41598-017-04477-z |
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