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A Spatial-Socioeconomic Urban Development Status Curve from NPP-VIIRS Nighttime Light Data

Remote sensing (Basel, Switzerland), 2019-10, Vol.11 (20), p.2398 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11202398

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  • Title:
    A Spatial-Socioeconomic Urban Development Status Curve from NPP-VIIRS Nighttime Light Data
  • Author: Yang, Chengshu ; Yu, Bailang ; Chen, Zuoqi ; Song, Wei ; Zhou, Yuyu ; Li, Xia ; Wu, Jianping
  • Subjects: Cities ; Datasets ; Economic development ; Economic growth ; GDP ; Gross Domestic Product ; Land cover ; Land use ; Least squares method ; Mineral resources ; Night ; Nighttime ; nighttime light ; npp-viirs ; Population growth ; Regions ; Remote sensing ; Socioeconomics ; spatial–socioeconomic urban development curve ; Urban areas ; Urban development ; Urban planning ; Urban sprawl ; Urbanization
  • Is Part Of: Remote sensing (Basel, Switzerland), 2019-10, Vol.11 (20), p.2398
  • Description: Urban development status is closely related to the urban economy, environment, ecology, and health. Spatial and socioeconomic processes are the two key aspects of urban development, so the absence of any of them will affect the assessment of urban development status. In this study, using both spatial and socioeconomic information from land cover data and nighttime light data, respectively, we proposed an exponential model, Spatial–Socioeconomic Urban Development Curve (SSUDC), to provide a quantitative expression of the relationship between the two key processes of urban development and analyze urban development status. The SSUDC was calculated from the artificial surface ratio at 1% intervals obtained from Globeland30 land cover data and the corresponding average NPP-VIIRS nighttime light radiance data, using a nonlinear least-squares method. We generated SSUDCs for 330 prefecture-level cities in Mainland China, 208 of which had coefficients of determination (R2) greater than 0.6. Taking Ordos and Guiyang as two typical examples, we analyzed the importance and advantages of SSUDC. The coefficients α and β of the exponential SSUDC were shown to indicate the base intensity socioeconomic activity and the concentration of socioeconomic activities, respectively, and can be used to reveal the urban socioeconomic development status and functional type of cities. At the internal urban level, the residuals of SSUDC can imply the demand for urban physical or economic construction in different areas of the city, and even the urban growth type, together with the distribution of the artificial surface ratio. In summary, the proposed SSUDC provides a simple way to combine the spatial and socioeconomic processes of urban development, which is beneficial to the analysis of urban development at different scales and a rewarding tool for urban planning.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 2072-4292
    EISSN: 2072-4292
    DOI: 10.3390/rs11202398
  • Source: ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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