Examining spatial equity in emergency facilities during the later stage of COVID-19 in China: insights from nucleic acid testing sites

Abstract Community-level emergency facilities are essential for disaster prevention and response, contributing significantly to urban health equity. This study aims to explore the multi-scale spatial pattern, multi-dimensional availability evaluation, and multi-scenario simulation optimization of nucleic acid testing sites during the later stage of COVID-19. At a macro scale, these sites demonstrated a "multi-core clustering" pattern, while at a micro-scale, they were community-centered, often located in areas with low traffic and better ventilation. Spatial accessibility analysis showed high accessibility in urban centers when only facility capacity was considered, though accessibility dropped relative to suburban areas when community population and time costs were included. Temporally, site availability followed an M-shaped distribution. This study optimized testing site locations, providing insights into equitable distribution and supply–demand balance for emergency facilities.

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Publication Details

Journal
Computational Urban Science
Published
2024-12-27
DOI
https://doi.org/10.1007/s43762-024-00160-y
Citations
2
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
1.35
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article

Examining spatial equity in emergency facilities during the later stage of COVID-19 in China: insights from nucleic acid testing sites

Gang Li, Qifan Nie, Annan Jin, Lan Li et al.
2 citations
Computational Urban Science
Facility Location and Emergency Management
1.35
article

Examining spatial equity in emergency facilities during the later stage of COVID-19 in China: insights from nucleic acid testing sites

Gang Li, Qifan Nie, Annan Jin, Lan Li, Zhang Lin, Yuyao Zhang
article en
2 citations

Abstract

Abstract Community-level emergency facilities are essential for disaster prevention and response, contributing significantly to urban health equity. This study aims to explore the multi-scale spatial pattern, multi-dimensional availability evaluation, and multi-scenario simulation optimization of nucleic acid testing sites during the later stage of COVID-19. At a macro scale, these sites demonstrated a "multi-core clustering" pattern, while at a micro-scale, they were community-centered, often located in areas with low traffic and better ventilation. Spatial accessibility analysis showed high accessibility in urban centers when only facility capacity was considered, though accessibility dropped relative to suburban areas when community population and time costs were included. Temporally, site availability followed an M-shaped distribution. This study optimized testing site locations, providing insights into equitable distribution and supply–demand balance for emergency facilities.

Computational Urban ScienceVol. 4(1)
University of Colorado Boulder (US), Northwest University (CN)
Climate action
Openalex Percentile: Top 14%
Facility Location and Emergency Management
1.35
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Examining spatial equity in emergency facilities during the later stage of COVID-19 in China: insights from nucleic acid testing sites — Gang Li, Qifan Nie, et al. · Computational Urban Science (2024) | TGRS Research Map | TGRS