ArticleSustainable cities and society2021
Spatiotemporal patterns of the COVID-19 control measures impact on industrial production in Wuhan using time-series earth observation data.
Article in Sustainable cities and society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities.Remote sensing of environment · 2023Article
- Analysis of the socioeconomic impact due to COVID-19 using a deep clustering approach.Applied soft computing · 2022Article
- A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties.Sustainable cities and society · 2022Article
- Impact of the COVID-19 pandemic on the energy performance of residential neighborhoods and their occupancy behavior.Sustainable cities and society · 2022Article
- Data-driven multiscale modelling and analysis of COVID-19 spatiotemporal evolution using explainable AI.Sustainable cities and society · 2022Article
- An Intelligent Prediction for Sports Industry Scale Based on Time Series Algorithm and Deep Learning.Computational intelligence and neuroscience · 2022Article
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Abstract
Understanding the spatiotemporal patterns of the COVID-19 impact on industrial production could improve the estimation of the economic loss and sustainable work resumption policies in cities. In this study, assuming and checking a correlation between the land surface temperature (LST) and industrial production, we applied the BFAST algorithm and linear regression models on multi-temporal MODIS data to derive monthly time-series deviation of LST with a spatial resolution of 1 × 1 km, to quantificationally explore the fine-scale spatiotemporal patterns of the COVID-19 control measures impact on industrial production, within Wuhan city. The results demonstrate that (1) the trend of time-series LST could partly reflect the impact of the COVID-19 pandemic on industrial production, and the year-around industrial production was less than expectations, with a fall of 14.30%; (2) the most serious COVID-19 impact on industrial production appeared in Mar. and Apr., then, after the lifting of lockdown, some regions (approximate 4.90%) firstly returned to expected levels in Jun, and almost all regions (98.49%) have completed the resumption of work and production before Nov.; (3) the southwest and south-central had more serious impact of the COVID-19 pandemic, approximate twice as much as that in the north and suburban, in Wuhan. The results and findings elaborated the spatiotemporal distribution and their changes during 2020 within Wuhan, which could provide a beneficial support for assessment of the COVID-19 pandemic and implementation of resumption plans for sustainable development.
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