Literature DB >> 32102480

Does China's Urban Development Satisfy Zipf's Law? A Multiscale Perspective from the NPP-VIIRS Nighttime Light Data.

Yizhen Wu1,2,3, Mingyue Jiang1,2,3, Zhijian Chang1,2,3, Yuanqing Li1,2,3, Kaifang Shi1,2,3.   

Abstract

Currently, whether the urban development in China satisfies Zipf's law across different scales is still unclear. Thus, this study attempted to explore whether China's urban development satisfies Zipf's law across different scales from the National Polar-Orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light data. First, the NPP-VIIRS data were corrected. Then, based on the Zipf law model, the corrected NPP-VIIRS data were used to evaluate China's urban development at multiple scales. The results showed that the corrected NPP-VIIRS data could effectively reflect the state of urban development in China. Additionally, the Zipf index (q) values, which could express the degree of urban development, decreased from 2012 to 2018 overall in all provinces, prefectures, and counties. Since the value of q was relatively close to 1 with an R2 value > 0.70, the development of the provinces and prefectures was close to the ideal Zipf's law state. In all counties, q > 1 with an R2 value > 0.70, which showed that the primate county had a relatively stronger monopoly capacity. When the value of q < 1 with a continuous declination in the top 2000 counties, the top 250 prefectures, and the top 20 provinces in equilibrium, there was little difference in the scale of development at the multiscale level with an R2 > 0.90. The results enriched our understanding of urban development in terms of Zipf's law and had valuable implications for relevant decision-makers and stakeholders.

Entities:  

Keywords:  China; Zipf’s law; multiscale analysis; nighttime lights; urban development

Year:  2020        PMID: 32102480     DOI: 10.3390/ijerph17041460

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  2 in total

1.  Prediction of the Old-Age Dependency Ratio in Chinese Cities Using DMSP/OLS Nighttime Light Data.

Authors:  Yue Li; Chengmeng Zhang; Yan Tong; Yalu Zhang; Gong Chen
Journal:  Int J Environ Res Public Health       Date:  2022-06-11       Impact factor: 4.614

2.  A Multiscale Evaluation of the Coupling Relationship between Urban Land and Carbon Emissions: A Case Study of Chongqing, China.

Authors:  Chuanlong Li; Yuanqing Li; Kaifang Shi; Qingyuan Yang
Journal:  Int J Environ Res Public Health       Date:  2020-05-14       Impact factor: 3.390

  2 in total

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