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Research on spatial characteristics of metropolis development using nighttime light data: NTL based spatial characteristics of Beijing

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  • Yuli Yang
  • Mingguo Ma
  • Xiaobo Zhu
  • Wei Ge

Abstract

As the capital and one of the metropolises in China, Beijing has met with a number of serious so-called "urban diseases" in the process of rapid urbanization such as blind expansion of urban areas, explosion of population and the increase of urban heat island effect. To treat these “urban diseases” and make the metropolis develop healthful and sustainable in Beijing in the future, the spatial characteristics of metropolis developments in Beijing are explored in this paper. The urban built-up areas in Beijing are extracted using the DMSP-OLS nighttime light data from 1992 to 2013. The characteristics of the urban developments of Beijing are studied, including spatial and temporal scales of urban developments, urban barycenter of Beijing and its transfer trajectory, variations of urban spatial forms and the differences of urban internal developments. The results have shown that the built-up areas had been increasing and circling extending from the central urban areas to the outer spaces in the last 21 years. The built-up area had expanded by 878km2 in 1992–2013, and the built-up area in 2013 had expanded to three times comparing to that of 1992. The expanding area of the built-up area in the northeast is the largest. The expansion of the urban had mainly occurred in 1996–2007, and the expanded area had accounted for 92% of the total research period. During the whole research period, the urban barycenter of Beijing had moved 5000.71 meters towards Northeast 28° of its original place from Dongcheng District to Chaoyang District. The development level of each municipal district had been increasing year by year, and the development differences among the municipal districts had been gradually reduced; the spatial forms of Beijing had been alternately changed between extensive and intensive expansion. The results of this study can help to plan urban land use and people migration of Beijing.

Suggested Citation

  • Yuli Yang & Mingguo Ma & Xiaobo Zhu & Wei Ge, 2020. "Research on spatial characteristics of metropolis development using nighttime light data: NTL based spatial characteristics of Beijing," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-20, November.
    • Handle: RePEc:plo:pone00:0242663
    DOI: 10.1371/journal.pone.0242663
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    References listed on IDEAS

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    1. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    2. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
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    Cited by:

    1. Mengjie Wang & Yanjun Wang & Fei Teng & Shaochun Li & Yunhao Lin & Hengfan Cai, 2022. "Estimation and Analysis of PM 2.5 Concentrations with NPP-VIIRS Nighttime Light Images: A Case Study in the Chang-Zhu-Tan Urban Agglomeration of China," IJERPH, MDPI, vol. 19(7), pages 1-18, April.
    2. Zhe Li & Feng Wu & Huiqiang Ma & Zhanjun Xu & Shaohua Wang, 2022. "Spatiotemporal Evolution and Relationship between Night Time Light and Land Surface Temperature: A Case Study of Beijing, China," Land, MDPI, vol. 11(4), pages 1-24, April.
    3. Yan Xin & Dongchuan Wang & Lihui Zhang & Yingyi Ma & Xing Chen & Haiqing Wang & Hongyi Wang & Kangjian Wang & Hui Long & Hua Chai & Jianshe Gao, 2022. "Cooperative analysis of infrastructure perfection and residents’ living standards in poverty-stricken counties in Qinghai Province," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3687-3703, March.
    4. Xiaoxu, Xing & Qiangmin, Xi & Weihao, Shi, 2024. "Impact of urban compactness on carbon emission in Chinese cities: From moderating effects of industrial diversity and job-housing imbalances," Land Use Policy, Elsevier, vol. 143(C).

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