Spatio-Temporal Variability of the Impact of Population Mobility on Local Business Sales in Response to Covid-19 in Seoul, Korea
Bibliographic Data
| ID | 22032015 |
|---|---|
| Authors | Hyeongmo Koo (0000-0002-5446-1668, University of Seoul), Soyoung Lee (0000-0002-3645-9281, Seoul National University of Education), Jiyeong Lee (0000-0001-6586-8802, University of Seoul), Daeheon Cho (0000-0002-8768-7604, Catholic Kwandong University, corresponding author) |
| Year | 2022 |
| Volume | 11 |
| Issue | 10 |
| Pages | 532 |
| Publication date | 2022-10-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi11100532 |
| OpenAlex | W4306920760 |
| Language | EN |
| References cited | 43 |
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
Business · Econometrics · Geographic mobility · Geography · Population · Regression analysis · Social distance · Sociology · Statistics · Usability · Computer Science · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Demography · Mathematics · Medicine · Spatial and Panel Data Analysis
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Multicollinearity and correlation among local regression coefficients in geographically weighted regression
Economic and social consequences of human mobility restrictions under Covid-19
Reduction in mobility and Covid-19 transmission
The effect of Covid-19 and subsequent social distancing on travel behavior
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The effect of human mobility and control measures on the Covid-19 epidemic in China
Association between mobility patterns and Covid-19 transmission in the USA
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Scientific and ethical basis for social-distancing interventions against Covid-19
Using an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of Covid-19 and Its Influencing Factors in Mainland China
Structural Inequalities Established the Architecture for Covid-19 Pandemic Among Native Americans in Arizona
Keeping Low Reproductive Number Despite the Rebound Population Mobility in Korea, a Country Never under Lockdown during the Covid-19 Pandemic
The impact of the Covid-19 pandemic on people's mobility
Modeling Network Autocorrelation in Space–Time Migration Flow Data
The Importance of Scale in Spatially Varying Coefficient Modeling
Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)
The Exact Distribution of Moran's I
Semiparametric Filtering of Spatial Autocorrelation
| Citation velocity | historical |
|---|---|
| Highly cited | No |