Spatiotemporal evolution of urban agglomerations in China during 2000–2012: a nighttime light approach

Context Urban agglomeration is an advanced spatial organization of cities, usually caused by urbanization processes when cities develop to a certain level - typically associated with higher population density and a certain density of built environment. However, compared with various studies focusing...

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Published inLandscape ecology Vol. 35; no. 2; pp. 421 - 434
Main Authors Peng, Jian, Lin, Haoxi, Chen, Yunqian, Blaschke, Thomas, Luo, Lingwei, Xu, Zihan, Hu, Yi’na, Zhao, Mingyue, Wu, Jiansheng
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.02.2020
Springer Nature B.V
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Abstract Context Urban agglomeration is an advanced spatial organization of cities, usually caused by urbanization processes when cities develop to a certain level - typically associated with higher population density and a certain density of built environment. However, compared with various studies focusing on specific cities, urban agglomerations are still understudied, especially for the quantitative identification of spatiotemporal evolution of urban agglomerations. Objectives This study aims to identify the boundary of urban agglomerations in China from 2000 to 2012, and to explore the temporal evolution and spatial difference of urban agglomerations. Methods Firstly, the core zone of urban agglomerations was identified using an appropriate threshold of the digital number (DN) of nighttime light. Secondly, the mean patch area and gravity model were used to determine the affected zone of urban agglomerations. Thirdly, spatiotemporal contrast was conducted focusing on the 23 main urban agglomerations in China. Results By 2012, the most highly developed Yangtze River Delta and Pearl River Delta urban agglomerations met the standard of world level, with the Beijing–Tianjin–Hebei urban agglomeration for regional level, as well as 11 urban agglomerations for sub-regional level. Regional differences in urban agglomerations between southern and northern China, or between coastal and inland China remained stable over the study period of 2000–2012. Compared with the western urban agglomerations, the outward expansion of eastern urban agglomerations decelerated. From 2000 to 2012, the overall development mode of urban agglomerations shifted from the core-expansion to the peripheral-development, together with slower expansion of urban agglomerations after 2006. Conclusions Nighttime light data are effective in exploring the spatiotemporal evolution of urban agglomerations.
AbstractList Context Urban agglomeration is an advanced spatial organization of cities, usually caused by urbanization processes when cities develop to a certain level - typically associated with higher population density and a certain density of built environment. However, compared with various studies focusing on specific cities, urban agglomerations are still understudied, especially for the quantitative identification of spatiotemporal evolution of urban agglomerations. Objectives This study aims to identify the boundary of urban agglomerations in China from 2000 to 2012, and to explore the temporal evolution and spatial difference of urban agglomerations. Methods Firstly, the core zone of urban agglomerations was identified using an appropriate threshold of the digital number (DN) of nighttime light. Secondly, the mean patch area and gravity model were used to determine the affected zone of urban agglomerations. Thirdly, spatiotemporal contrast was conducted focusing on the 23 main urban agglomerations in China. Results By 2012, the most highly developed Yangtze River Delta and Pearl River Delta urban agglomerations met the standard of world level, with the Beijing–Tianjin–Hebei urban agglomeration for regional level, as well as 11 urban agglomerations for sub-regional level. Regional differences in urban agglomerations between southern and northern China, or between coastal and inland China remained stable over the study period of 2000–2012. Compared with the western urban agglomerations, the outward expansion of eastern urban agglomerations decelerated. From 2000 to 2012, the overall development mode of urban agglomerations shifted from the core-expansion to the peripheral-development, together with slower expansion of urban agglomerations after 2006. Conclusions Nighttime light data are effective in exploring the spatiotemporal evolution of urban agglomerations.
ContextUrban agglomeration is an advanced spatial organization of cities, usually caused by urbanization processes when cities develop to a certain level - typically associated with higher population density and a certain density of built environment. However, compared with various studies focusing on specific cities, urban agglomerations are still understudied, especially for the quantitative identification of spatiotemporal evolution of urban agglomerations.ObjectivesThis study aims to identify the boundary of urban agglomerations in China from 2000 to 2012, and to explore the temporal evolution and spatial difference of urban agglomerations.MethodsFirstly, the core zone of urban agglomerations was identified using an appropriate threshold of the digital number (DN) of nighttime light. Secondly, the mean patch area and gravity model were used to determine the affected zone of urban agglomerations. Thirdly, spatiotemporal contrast was conducted focusing on the 23 main urban agglomerations in China.ResultsBy 2012, the most highly developed Yangtze River Delta and Pearl River Delta urban agglomerations met the standard of world level, with the Beijing–Tianjin–Hebei urban agglomeration for regional level, as well as 11 urban agglomerations for sub-regional level. Regional differences in urban agglomerations between southern and northern China, or between coastal and inland China remained stable over the study period of 2000–2012. Compared with the western urban agglomerations, the outward expansion of eastern urban agglomerations decelerated. From 2000 to 2012, the overall development mode of urban agglomerations shifted from the core-expansion to the peripheral-development, together with slower expansion of urban agglomerations after 2006.ConclusionsNighttime light data are effective in exploring the spatiotemporal evolution of urban agglomerations.
Author Lin, Haoxi
Luo, Lingwei
Wu, Jiansheng
Xu, Zihan
Chen, Yunqian
Zhao, Mingyue
Blaschke, Thomas
Peng, Jian
Hu, Yi’na
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  organization: Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University
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  organization: Guangzhou Institute of Geography
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  fullname: Chen, Yunqian
  organization: Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University
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  surname: Blaschke
  fullname: Blaschke, Thomas
  organization: Department of Geoinformatics—Z_GIS, University of Salzburg
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  surname: Luo
  fullname: Luo, Lingwei
  organization: Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University
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  organization: Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University
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  organization: Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University
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  givenname: Mingyue
  surname: Zhao
  fullname: Zhao, Mingyue
  organization: Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University
– sequence: 9
  givenname: Jiansheng
  surname: Wu
  fullname: Wu, Jiansheng
  organization: Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Shenzhen Graduate School, Peking University
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Keywords Gravity model
Nighttime light data
Spatiotemporal evolution
Urban agglomeration
China
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Snippet Context Urban agglomeration is an advanced spatial organization of cities, usually caused by urbanization processes when cities develop to a certain level -...
ContextUrban agglomeration is an advanced spatial organization of cities, usually caused by urbanization processes when cities develop to a certain level -...
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SubjectTerms Agglomeration
Biomedical and Life Sciences
Built environment
Cities
Deceleration
Ecology
Environmental Management
Evolution
Focusing
Identification methods
Landscape Ecology
Landscape/Regional and Urban Planning
Life Sciences
Nature Conservation
Night
Nighttime
Population density
Research Article
Rivers
Sustainable Development
Urban areas
Urban environments
Urbanization
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Title Spatiotemporal evolution of urban agglomerations in China during 2000–2012: a nighttime light approach
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