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Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015

This paper analyzes the imbalance of interprovincial population flow during the Spring Festival travel rush in China, using big data obtained through Baidu Migration, in terms of population flow during the festival and the normalized unbalanced coefficients of edge and node method for analysis, from...

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Detalles Bibliográficos
Autores principales: Gao, Yanpeng, Xu, Xiaofei, Wei, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021162/
https://www.ncbi.nlm.nih.gov/pubmed/33819315
http://dx.doi.org/10.1371/journal.pone.0249520
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author Gao, Yanpeng
Xu, Xiaofei
Wei, Ye
author_facet Gao, Yanpeng
Xu, Xiaofei
Wei, Ye
author_sort Gao, Yanpeng
collection PubMed
description This paper analyzes the imbalance of interprovincial population flow during the Spring Festival travel rush in China, using big data obtained through Baidu Migration, in terms of population flow during the festival and the normalized unbalanced coefficients of edge and node method for analysis, from which the following findings emerge: (1). The imbalance in population flow network during the Spring Festival travel rush is significant, with unbalanced coefficients and relevant frequencies of the population flow network in the Eastern and Western Regions being significantly higher than in other regions. The unbalanced coefficients in the Central Region are lower, followed by corresponding frequencies, while the unbalanced coefficients in the Northeast Region are evenly distributed with the lowest frequencies. The population flow toward the West and Northwest are relatively concentrated, while the population flow toward the South and Southwest are relatively scattered. (2). The regional imbalance during the Spring Festival travel rush has characteristics of spatial agglomeration, where a strongly-connected Southeast Subsystem and a weakly-connected Western Subsystem are formed; there is a significant leverage effect in Guangdong Province, which greatly affects the regional imbalance. Three characteristics emerge in the distribution of regional population flow—the outflow, inflow, and outflow along the Eastern, Central and Western strips/lines, respectively. The paper emphasizes the importance of researching imbalance issues, clarifies the difference between the imbalance of the population flow network and the imbalance involved in previous population research fields, and discusses the Spring Festival Effect in terms of population flow and deficiencies in research.
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spelling pubmed-80211622021-04-14 Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015 Gao, Yanpeng Xu, Xiaofei Wei, Ye PLoS One Research Article This paper analyzes the imbalance of interprovincial population flow during the Spring Festival travel rush in China, using big data obtained through Baidu Migration, in terms of population flow during the festival and the normalized unbalanced coefficients of edge and node method for analysis, from which the following findings emerge: (1). The imbalance in population flow network during the Spring Festival travel rush is significant, with unbalanced coefficients and relevant frequencies of the population flow network in the Eastern and Western Regions being significantly higher than in other regions. The unbalanced coefficients in the Central Region are lower, followed by corresponding frequencies, while the unbalanced coefficients in the Northeast Region are evenly distributed with the lowest frequencies. The population flow toward the West and Northwest are relatively concentrated, while the population flow toward the South and Southwest are relatively scattered. (2). The regional imbalance during the Spring Festival travel rush has characteristics of spatial agglomeration, where a strongly-connected Southeast Subsystem and a weakly-connected Western Subsystem are formed; there is a significant leverage effect in Guangdong Province, which greatly affects the regional imbalance. Three characteristics emerge in the distribution of regional population flow—the outflow, inflow, and outflow along the Eastern, Central and Western strips/lines, respectively. The paper emphasizes the importance of researching imbalance issues, clarifies the difference between the imbalance of the population flow network and the imbalance involved in previous population research fields, and discusses the Spring Festival Effect in terms of population flow and deficiencies in research. Public Library of Science 2021-04-05 /pmc/articles/PMC8021162/ /pubmed/33819315 http://dx.doi.org/10.1371/journal.pone.0249520 Text en © 2021 Gao 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
Gao, Yanpeng
Xu, Xiaofei
Wei, Ye
Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015
title Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015
title_full Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015
title_fullStr Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015
title_full_unstemmed Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015
title_short Analysis on the imbalance of population flow network during the Spring Festival travel rush in China in 2015
title_sort analysis on the imbalance of population flow network during the spring festival travel rush in china in 2015
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021162/
https://www.ncbi.nlm.nih.gov/pubmed/33819315
http://dx.doi.org/10.1371/journal.pone.0249520
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