Spatio-Temporal Variability of the Impact of Population Mobility on Local Business Sales in Response to COVID-19 in Seoul, Korea

Hyeongmo Koo, Soyoung Lee, Jiyeong Lee, Daeheon Cho

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Social distancing is an effective method for controlling the COVID-19 pandemic by decreasing population mobility, but it has also negatively affected local business sales. This paper explores the spatio-temporal impact of population mobility on local business sales in response to COVID-19 in Seoul, South Korea. First, this study examined the temporal variability by analyzing statistical interaction terms in linear regression models. Second, the spatio-temporal variability was captured using Moran eigenvector spatial filtering (MESF)-based spatially varying coefficients (SVC) models with additional statistical interaction terms. Population mobility and local business sales were estimated from public transportation ridership and restaurant sales, respectively, which were both obtained from spatial big datasets. The analysis results show the existence of various relationships between changes in the population mobility and local business sales according to the corresponding period and region. This study confirms the usability of spatial big datasets and spatio-temporal varying coefficients models for COVID-19 studies and provides support for policy-makers in response to infectious disease.

Original languageEnglish
Article number532
JournalISPRS International Journal of Geo-Information
Volume11
Issue number10
DOIs
StatePublished - Oct 2022

Keywords

  • COVID-19
  • Moran eigenvector spatial filtering
  • spatially varying coefficients
  • spatio-temporal analysis

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