Literature DB >> 26981857

Analysis of Road Network Pattern Considering Population Distribution and Central Business District.

Fangxia Zhao1,2, Huijun Sun1, Jianjun Wu1, Ziyou Gao2, Ronghui Liu3.   

Abstract

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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Year:  2016        PMID： 26981857      PMCID： PMC4794222          DOI： 10.1371/journal.pone.0151676

Source DB:  PubMed          Journal:  PLoS One        ISSN： 1932-6203            Impact factor:   3.240


  7 in total

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Authors:  Jay Samuel L Combinido; May T Lim
Journal:  PLoS One       Date:  2012-11-05       Impact factor: 3.240

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Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240
  7 in total
  2 in total

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Authors:  Yang Shao; Xueyan Han; Huan Wu; Huimin Shan; Shaowei Yang; Christian G Claudel
Journal:  PLoS One       Date:  2019-04-10       Impact factor: 3.240

2.  An Improved Method of Determining Human Population Distribution Based on Luojia 1-01 Nighttime Light Imagery and Road Network Data-A Case Study of the City of Shenzhen.

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Journal:  Sensors (Basel)       Date:  2020-09-04       Impact factor: 3.576
  2 in total

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