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COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China
When a public health emergency occurs, a potential sanitation threat will directly change local residents’ behavior patterns, especially in high-density urban areas. Their behavior pattern is typically transformed from demand-oriented to security-oriented. This is directly manifested as a differenti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927029/ https://www.ncbi.nlm.nih.gov/pubmed/33671707 http://dx.doi.org/10.3390/ijerph18042135 |
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author | Zeng, Peng Sun, Zongyao Chen, Yuqi Qiao, Zhi Cai, Liangwa |
author_facet | Zeng, Peng Sun, Zongyao Chen, Yuqi Qiao, Zhi Cai, Liangwa |
author_sort | Zeng, Peng |
collection | PubMed |
description | When a public health emergency occurs, a potential sanitation threat will directly change local residents’ behavior patterns, especially in high-density urban areas. Their behavior pattern is typically transformed from demand-oriented to security-oriented. This is directly manifested as a differentiation in the population distribution. This study based on a typical area of high-density urban area in central Tianjin, China. We used Baidu heat map (BHM) data to calculate full-day and daytime/nighttime state population aggregation and employed a geographically weighted regression (GWR) model and Moran’s I to analyze pre-epidemic/epidemic population aggregation patterns and pre-epidemic/epidemic population flow features. We found that during the COVID-19 epidemic, the population distribution of the study area tended to be homogenous clearly and the density decreased obviously. Compared with the pre-epidemic period: residents’ demand for indoor activities increased (average correlation coefficient of the floor area ratio increased by 40.060%); traffic demand decreased (average correlation coefficient of the distance to a main road decreased by 272%); the intensity of the day-and-night population flow declined significantly (its extreme difference decreased by 53.608%); and the large-living-circle pattern of population distribution transformed to multiple small-living circles. This study identified different space utilization mechanisms during the pre-epidemic and epidemic periods. It conducted the minimum living security state of an epidemic-affected city to maintain the operation of a healthy city in the future. |
format | Online Article Text |
id | pubmed-7927029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79270292021-03-04 COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China Zeng, Peng Sun, Zongyao Chen, Yuqi Qiao, Zhi Cai, Liangwa Int J Environ Res Public Health Article When a public health emergency occurs, a potential sanitation threat will directly change local residents’ behavior patterns, especially in high-density urban areas. Their behavior pattern is typically transformed from demand-oriented to security-oriented. This is directly manifested as a differentiation in the population distribution. This study based on a typical area of high-density urban area in central Tianjin, China. We used Baidu heat map (BHM) data to calculate full-day and daytime/nighttime state population aggregation and employed a geographically weighted regression (GWR) model and Moran’s I to analyze pre-epidemic/epidemic population aggregation patterns and pre-epidemic/epidemic population flow features. We found that during the COVID-19 epidemic, the population distribution of the study area tended to be homogenous clearly and the density decreased obviously. Compared with the pre-epidemic period: residents’ demand for indoor activities increased (average correlation coefficient of the floor area ratio increased by 40.060%); traffic demand decreased (average correlation coefficient of the distance to a main road decreased by 272%); the intensity of the day-and-night population flow declined significantly (its extreme difference decreased by 53.608%); and the large-living-circle pattern of population distribution transformed to multiple small-living circles. This study identified different space utilization mechanisms during the pre-epidemic and epidemic periods. It conducted the minimum living security state of an epidemic-affected city to maintain the operation of a healthy city in the future. MDPI 2021-02-22 2021-02 /pmc/articles/PMC7927029/ /pubmed/33671707 http://dx.doi.org/10.3390/ijerph18042135 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zeng, Peng Sun, Zongyao Chen, Yuqi Qiao, Zhi Cai, Liangwa COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China |
title | COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China |
title_full | COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China |
title_fullStr | COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China |
title_full_unstemmed | COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China |
title_short | COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China |
title_sort | covid-19: a comparative study of population aggregation patterns in the central urban area of tianjin, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927029/ https://www.ncbi.nlm.nih.gov/pubmed/33671707 http://dx.doi.org/10.3390/ijerph18042135 |
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