Study on urban economic resilience of Beijing, Tianjin and Hebei based on night light remote sensing data during COVID-19

Ying Li; Shizhuan Hao; Quan Han; Xiaoyu Guo; Yiwei Zhong; Tongqian Zou; Cheng Fan

Science of Remote Sensing (Jun 2024)

Study on urban economic resilience of Beijing, Tianjin and Hebei based on night light remote sensing data during COVID-19

Ying Li,
Shizhuan Hao,
Quan Han,
Xiaoyu Guo,
Yiwei Zhong,
Tongqian Zou,
Cheng Fan

Affiliations

Ying Li: China Academy of Culture and Tourism, Beijing International Studies University, Beijing, 100024, China; High-Performance Computing Center Stuttgart, University of Stuttgart, Stuttgart, 70569, Germany; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, 100101, China; Corresponding author. China Academy of Culture and Tourism, Beijing International Studies University, Beijing, 100024, China.
Shizhuan Hao: China Academy of Culture and Tourism, Beijing International Studies University, Beijing, 100024, China
Quan Han: China Academy of Culture and Tourism, Beijing International Studies University, Beijing, 100024, China
Xiaoyu Guo: China Academy of Culture and Tourism, Beijing International Studies University, Beijing, 100024, China
Yiwei Zhong: China Academy of Culture and Tourism, Beijing International Studies University, Beijing, 100024, China
Tongqian Zou: China Academy of Culture and Tourism, Beijing International Studies University, Beijing, 100024, China; Corresponding author.
Cheng Fan: State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China

Journal volume & issue: Vol. 9
p. 100126

Abstract

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In order to reveal the spatial and temporal distribution of COVID-19's economic impact on the Beijing-Tianjin-Hebei region, this study uses the NPP/VIIRS night light remote sensing data from January to September in 2020 to compare the development trend of COVID-19 and analyze its economic impact on the Beijing-Tianjin-Hebei region. At the same time, the regional economic resilience measurement algorithm is introduced by coupling the regional night light greyscale value to obtain the economic resilience data of various cities during the epidemic. The findings show that: 1. there are structural differences in the spatial distribution of COVID-19 outbreaks in the Beijing-Tianjin-Hebei region. Beijing-Tianjin-Hebei region present a ''core-adjacent-external'' structure and the spatial distribution pattern of Tianjin-Beijing-Shijiazhuang prominent in the inverted ''L'' shape. 2. There are differences in the economic resilience of the Beijing-Tianjin-Hebei region in the face of the epidemic, with high economic resilience in the core urban areas close to Beijing and Tianjin. Therefore, strengthening regional cooperation and establishing relatively stable economic ties with surrounding areas are the key to improving the overall economic resilience of Beijing-Tianjin-Hebei region.

Published in Science of Remote Sensing

ISSN: 2666-0172 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Geography. Anthropology. Recreation: Physical geography; Science
Website: https://www.journals.elsevier.com/science-of-remote-sensing

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