基于 COVID-19 期间夜光遥感数据的京津冀城市经济韧性研究

IF 5.7 Q1 ENVIRONMENTAL SCIENCES Science of Remote Sensing Pub Date : 2024-03-08 DOI:10.1016/j.srs.2024.100126
Ying Li , Shizhuan Hao , Quan Han , Xiaoyu Guo , Yiwei Zhong , Tongqian Zou , Cheng Fan
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引用次数: 0

摘要

为揭示 COVID-19 对京津冀地区经济影响的时空分布,本研究利用 2020 年 1-9 月 NPP/VIIRS 夜光遥感数据,对比 COVID-19 的发展趋势,分析其对京津冀地区的经济影响。同时,通过耦合区域夜光灰度值,引入区域经济抗灾能力测算算法,得到疫情期间各城市的经济抗灾能力数据。研究结果表明1. 京津冀地区 COVID-19 疫情空间分布存在结构性差异。京津冀地区呈 "核心-邻近-外围 "结构,天津-北京-石家庄的空间分布格局突出表现为倒 "L "形。2.京津冀地区面对疫情的经济抵御能力存在差异,靠近北京、天津的核心城区经济抵御能力较强。因此,加强区域合作,与周边地区建立相对稳定的经济联系,是提高京津冀地区整体经济韧性的关键。
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Study on urban economic resilience of Beijing, Tianjin and Hebei based on night light remote sensing data during COVID-19

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.

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