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中国城市发展是否符合齐夫定律?基于 NPP-VIIRS 夜间灯光数据的多尺度视角。

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

机构信息

School of Geographical Sciences, State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China.

Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, School of Geographical Sciences, Southwest University, Chongqing 400715, China.

出版信息

Int J Environ Res Public Health. 2020 Feb 24;17(4):1460. doi: 10.3390/ijerph17041460.

DOI:10.3390/ijerph17041460
PMID:32102480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7068490/
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 () 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 was relatively close to 1 with an value > 0.70, the development of the provinces and prefectures was close to the ideal Zipf's law state. In all counties, > 1 with an value > 0.70, which showed that the primate county had a relatively stronger monopoly capacity. When the value of < 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 > 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.

摘要

目前,中国城市发展在不同尺度上是否满足齐普夫定律仍不清楚。因此,本研究试图从国家极轨伙伴关系可见红外成像辐射计套件(NPP-VIIRS)夜间灯光数据中探索中国城市发展在不同尺度上是否满足齐普夫定律。首先,对 NPP-VIIRS 数据进行了校正。然后,基于齐普夫定律模型,使用校正后的 NPP-VIIRS 数据评估了中国在多个尺度上的城市发展情况。结果表明,校正后的 NPP-VIIRS 数据能够有效反映中国城市发展的状况。此外,齐普夫指数()值,能够表达城市发展的程度,从 2012 年到 2018 年,在所有省份、地级市和县级市中总体呈下降趋势。由于值接近 1,值>0.70,说明省份和地级市的发展比较接近理想的齐普夫定律状态。在所有的县级市中,>1,值>0.70,说明首位县具有较强的垄断能力。当值<1,并且前 2000 个县、前 250 个地级市和前 20 个省份的平衡值连续下降时,多尺度发展水平的规模差异较小,值>0.90。该结果丰富了我们对城市发展的齐普夫定律的理解,对相关决策者和利益相关者具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/78b85a6e1ad6/ijerph-17-01460-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/638af549266a/ijerph-17-01460-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/2997fb454106/ijerph-17-01460-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/617471f041a7/ijerph-17-01460-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/510647df1d35/ijerph-17-01460-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/549616c2fc30/ijerph-17-01460-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/ba061ebafa59/ijerph-17-01460-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/6f87bd7397ad/ijerph-17-01460-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/27ddd6b3fd30/ijerph-17-01460-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/695e06230221/ijerph-17-01460-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/de069ed80b1b/ijerph-17-01460-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/5ea52837c427/ijerph-17-01460-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/97ec1795a169/ijerph-17-01460-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/78b85a6e1ad6/ijerph-17-01460-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/638af549266a/ijerph-17-01460-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/2997fb454106/ijerph-17-01460-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/617471f041a7/ijerph-17-01460-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/510647df1d35/ijerph-17-01460-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/549616c2fc30/ijerph-17-01460-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/ba061ebafa59/ijerph-17-01460-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/6f87bd7397ad/ijerph-17-01460-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/27ddd6b3fd30/ijerph-17-01460-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/695e06230221/ijerph-17-01460-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/de069ed80b1b/ijerph-17-01460-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/5ea52837c427/ijerph-17-01460-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/97ec1795a169/ijerph-17-01460-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f870/7068490/78b85a6e1ad6/ijerph-17-01460-g013.jpg

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