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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...

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Detalles Bibliográficos
Autores principales: Zhao, Fangxia, Sun, Huijun, Wu, Jianjun, Gao, Ziyou, Liu, Ronghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
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.
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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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