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The impact of new transportation modes on population distribution in Jing-Jin-Ji region of China.
Wang, Lizhe; Chen, Lajiao.
Afiliação
  • Wang L; China University of Geosciences, School of Computer Sciences, No. 388 Lumo Road, Hongshan District, Wuhan 430074, China.
  • Chen L; Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing, Beijing 100094, China.
Sci Data ; 5: 170204, 2018 01 23.
Article em En | MEDLINE | ID: mdl-29360105
ABSTRACT
This paper conducts a novel study in China's Jing-Jin-Ji region to investigate the determinants of population distribution and short-term migration based on a comprehensive dataset including traditional census data, earth observation data, and emerging Internet data. Our results show that due to the high level of urbanization in this region, natural conditions are no longer the strongest determinants of population distribution. New transportation modes, such as high-speed rail, have arisen as a significant determinant of population distribution and short-term migration, particularly in large cities. Socio-economic factors such as GDP, investment, urbanization level, and technology, which are traditionally assumed to govern population distribution and short-term migration, have less influence although education still remains an important factor affecting population distribution. These findings will contribute valuable information to regional planning decision-making in the Jing-Jin-Ji region.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dinâmica Populacional Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Data Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dinâmica Populacional Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Data Ano de publicação: 2018 Tipo de documento: Article