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Analysis of Road Network Pattern Considering Population Distribution and Central Business District
This paper proposes a road network growing model with the consideration of population distribution and central business district (CBD) attraction. In the model, the relative neighborhood graph (RNG) is introduced as the connection mechanism to capture the characteristics of road network topology. Th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794222/ https://www.ncbi.nlm.nih.gov/pubmed/26981857 http://dx.doi.org/10.1371/journal.pone.0151676 |
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author | Zhao, Fangxia Sun, Huijun Wu, Jianjun Gao, Ziyou Liu, Ronghui |
author_facet | Zhao, Fangxia Sun, Huijun Wu, Jianjun Gao, Ziyou Liu, Ronghui |
author_sort | Zhao, Fangxia |
collection | PubMed |
description | This paper proposes a road network growing model with the consideration of population distribution and central business district (CBD) attraction. In the model, the relative neighborhood graph (RNG) is introduced as the connection mechanism to capture the characteristics of road network topology. The simulation experiment is set up to illustrate the effects of population distribution and CBD attraction on the characteristics of road network. Moreover, several topological attributes of road network is evaluated by using coverage, circuitness, treeness and total length in the experiment. Finally, the suggested model is verified in the simulation of China and Beijing Highway networks. |
format | Online Article Text |
id | pubmed-4794222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47942222016-03-23 Analysis of Road Network Pattern Considering Population Distribution and Central Business District Zhao, Fangxia Sun, Huijun Wu, Jianjun Gao, Ziyou Liu, Ronghui PLoS One Research Article This paper proposes a road network growing model with the consideration of population distribution and central business district (CBD) attraction. In the model, the relative neighborhood graph (RNG) is introduced as the connection mechanism to capture the characteristics of road network topology. The simulation experiment is set up to illustrate the effects of population distribution and CBD attraction on the characteristics of road network. Moreover, several topological attributes of road network is evaluated by using coverage, circuitness, treeness and total length in the experiment. Finally, the suggested model is verified in the simulation of China and Beijing Highway networks. Public Library of Science 2016-03-16 /pmc/articles/PMC4794222/ /pubmed/26981857 http://dx.doi.org/10.1371/journal.pone.0151676 Text en © 2016 Zhao 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhao, Fangxia Sun, Huijun Wu, Jianjun Gao, Ziyou Liu, Ronghui Analysis of Road Network Pattern Considering Population Distribution and Central Business District |
title | Analysis of Road Network Pattern Considering Population Distribution and Central Business District |
title_full | Analysis of Road Network Pattern Considering Population Distribution and Central Business District |
title_fullStr | Analysis of Road Network Pattern Considering Population Distribution and Central Business District |
title_full_unstemmed | Analysis of Road Network Pattern Considering Population Distribution and Central Business District |
title_short | Analysis of Road Network Pattern Considering Population Distribution and Central Business District |
title_sort | analysis of road network pattern considering population distribution and central business district |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794222/ https://www.ncbi.nlm.nih.gov/pubmed/26981857 http://dx.doi.org/10.1371/journal.pone.0151676 |
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