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Effectiveness of rapid rail transit system in Beijing.
Cheng, Hui-Min; Ning, Yi-Zi; Ma, Xiaoke; Liu, Xin; Zhang, Zhong-Yuan.
Afiliação
  • Cheng HM; School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, P.R. China.
  • Ning YZ; School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, P.R. China.
  • Ma X; School of Computer Science and Technology, Xidian University, Xi'an, P.R. China.
  • Liu X; School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, P.R. China.
  • Zhang ZY; School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, P.R. China.
PLoS One ; 12(7): e0180075, 2017.
Article em En | MEDLINE | ID: mdl-28704376
The effectiveness of rapid rail transit system is analyzed using tools of complex network for the first time. We evaluated the effectiveness of the system in Beijing quantitatively from different perspectives, including descriptive statistics analysis, bridging property, centrality property, ability of connecting different part of the system and ability of disease spreading. The results showed that the public transport of Beijing does benefit from the rapid rail transit lines, and the benefit of different regions from RRTS is gradually decreased from the north to the south. The paper concluded with some policy suggestions regarding how to promote the system. This study offered significant insight that can help understand the public transportation better. The methodology can be easily applied to analyze other urban public systems, such as electricity grid, water system, to develop more livable cities.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Meios de Transporte Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Meios de Transporte Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Ano de publicação: 2017 Tipo de documento: Article