Staying at Home Is a Privilege
Evidence from Fine-Grained Mobile Phone Location Data in the United States during the Covid-19 Pandemic
Bibliographic Data
| ID | 3133121 |
|---|---|
| Authors | Xiao Huang (0000-0002-4323-382X, University of Arkansas at Fayetteville), Junyu Lu (0000-0002-0992-5662, Arizona State University), Song Gao (0000-0003-4359-6302, University of Wisconsin–Madison), Sicheng Wang (0000-0002-2143-767X, Rutgers, the State University of New Jersey), Zhewei Liu (0000-0002-4023-9142, Hong Kong Polytechnic University), Hanxue Wei (0000-0001-6657-4048, Cornell University) |
| Year | 2022 |
| Volume | 112 |
| Issue | 1 |
| Pages | 286-305 |
| Publication date | 2022-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annals of the American Association of Geographers (JOURNAL) |
| Journal identifiers | ISSN: 2469-4452 • E-ISSN: 2469-4460 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/24694452.2021.1904819 |
| OpenAlex | W3164766304 |
| Language | EN |
| Citations received | 61 |
| References cited | 43 |
The coronavirus disease 2019 (COVID-19) has exposed and, to some degree, exacerbated social inequity in the United States. This study reveals the correlation between demographic and socioeconomic variables and home-dwelling time records derived from large-scale mobile phone location tracking data at the U.S. census block group (CBG) level in the twelve most populated Metropolitan Statistical Areas (MSAs) and further investigates the contribution of these variables to the disparity in home-dwelling time that reflects the compliance with stay-at-home orders via machine learning approaches. We find statistically significant correlations between the increase in home-dwelling time (∇HDT) and variables that describe economic status in all MSAs, which is further confirmed by the optimized random forest models, because median household income and percentage of high income are the two most important variables in predicting ∇HDT. The partial dependence between median household income and ∇HDT reveals that the contribution of income to ∇HDT is place dependent, nonlinear, and different given varying income intervals. Our study reveals the luxury nature of stay-at-home orders with which lower income groups cannot afford to comply. Such disparity in responses under stay-at-home orders reflects the long-standing social inequity issues in the United States, potentially causing unequal exposure to COVID-19 that disproportionately affects vulnerable populations. We must confront systemic social inequity issues and call for a high-priority assessment of the long-term impact of COVID-19 on geographically and socially disadvantaged groups
Census · Demographic economics · Disadvantaged · Economic growth · Economics · Geography · Household income · Metropolitan area · Socioeconomic status · Socioeconomics · Sociology · COVID-19 epidemiological studies · Demography · Human Mobility and Location-Based Analysis · Urban, Neighborhood, and Segregation Studies
A Sensor-Based Simulation Method for Spatiotemporal Event Detection
Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data
Geospatial Modeling of Health, Socioeconomic, Demographic, and Environmental Factors with Covid-19 Incidence Rate in Arkansas, US
Aggravated social segregation during the Covid-19 pandemic
A counterfactual analysis of opioid-involved deaths during the Covid-19 pandemic using a spatiotemporal random forest modeling approach
The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level
Cross-regional analysis of the association between human mobility and Covid-19 infection in Southeast Asia during the transitional period of “living with Covid-19”
The superspreading places of Covid-19 and the associated built-environment and socio-demographic features
Assessing potential benefits of visits to neighborhoods with higher tree canopy coverage using mobility data
Investigating dual-directional collective human mobility patterns of place-level incoming and outgoing travel behaviors using big data
Resilience and recovery
Disparities in resilience and recovery of ridesourcing usage during Covid-19
Unlocking the importance of perceived governance
Is a 15-Minute City Within Reach? Measuring Multimodal Accessibility and Carbon Footprint in 12 Major American Cities
Economic vulnerabilities and pandemic mobilities
Insights into parents’ perceived worry before and during the Covid-19 pandemic in Australia
Concentration Patterns and Driving Factors of Urban Population Mobility in China
Lifestyle pattern analysis unveils recovery trajectories of communities impacted by disasters
Socioeconomic determinants of stay-at-home policies during the first Covid-19 wave
Human mobility variations in response to restriction policies during the Covid-19 pandemic
Understanding the Drivers of Mobility during the Covid-19 Pandemic in Florida, USA Using a Machine Learning Approach
Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during Covid-19 in New York City
Characteristics of Parents Who Spent Time Away from Home During Stay-at-Home Orders and Relation to Parenting Behaviors in Ohio
A mobility-based framework for measuring socio-spatial segregation in 30 U.S. metropolitan areas
Assessing the socio-demographic representativeness of mobile phone application data
Perception of Hurricane and Covid-19 Risks for Household Evacuation and Shelter Intentions
Couple Households and the Commuting Time–Gender Gap
Masturbation Prevalence, Frequency, Reasons, and Associations with Partnered Sex in the Midst of the Covid-19 Pandemic
A data-driven investigation on park visitation and income mixing of visitors in New York City
A political psychology of the link between populist beliefs and compliance with Covid-19 containment measures
Digital platforms and socio-spatial justice in the (post-)pandemic city
Unique times, unequal mobilities
Women’s stress during the Covid-19 pandemic in Germany and the Netherlands
Covid-19, leisure, and inequalities
The academic left, human geography, and the rise of authoritarianism during the Covid-19 pandemic
Housing affordability and commute distance
Integrating the Who, What, and Where of U.S. Retail Center Geographies
A Systematic Review of Covid-19 Geographical Research
Policing the pandemic
Generating equitable urban human flows with a fairness-aware deep learning model
Mobility-based neighborhood disadvantage and crime in Houston
Perpetuating Health Disparities of Minority Groups
Fine scale human mobility changes within 26 US cities in 2020 in response to the Covid-19 pandemic were associated with distance and income
Years Later
Engaging in Interdisciplinary Coastal Research During a Pandemic
National Gentrification Intensity Map
Big data insights into urban park use in the pandemic
Unfolding community homophily in U.S. metropolitans via human mobility
Quantifying Covid-19 recovery process from a human mobility perspective
Gauging urban resilience in the United States during the Covid-19 pandemic via social network analysis
Comparing households with every member out-of-home in developing countries using travel surveys
Changes in tourist mobility after Covid-19 outbreaks
Covid-19 case rates, spatial mobility, and neighbourhood socioeconomic characteristics in Toronto
Escaping Environmental Hazards? Human Mobility in Response to Air Pollution and Extreme Cold Events
How We Measure Mobility Matters
Modeling activity spaces using big geo-data
Black Businesses Matter
Spatial Associations between Covid-19 Incidence Rates and Work Sectors
Geospatial Artificial Intelligence (GeoAI) Is Widening the Digital Divide
What Is Essential Travel? Socioeconomic Differences in Travel Demand in Columbus, Ohio, during the Covid-19 Lockdown
Trends in Neighborhood Social Cohesion among Families with Children during the Covid-19 Pandemic
Economic and social consequences of human mobility restrictions under Covid-19
Permutation importance
The Disproportionate Impact of Covid-19 on Racial and Ethnic Minorities in the United States
Transmission potential and severity of Covid-19 in South Korea
Social distancing responses to Covid-19 emergency declarations strongly differentiated by income
Isolation, quarantine, social distancing and community containment
Risk Perception Through the Lens of Politics in the Time of the Covid-19 Pandemic
The effect of human mobility and control measures on the Covid-19 epidemic in China
Covid-19 and Italy
Political Beliefs affect Compliance with Covid-19 Social Distancing Orders
Greedy function approximation
Geographically Weighted Regression
Time-Series Clustering for Home Dwell Time during Covid-19
Unemployment Effects of Stay-at-Home Orders
Dual‐earner parent couples’ work and care during Covid‐19
Distance traveled in three Canadian cities
My car, my friends, and me
Spatiotemporal Variation of Covid-19 and Its Spread in South America
The Links Between Education and Health
Poverty, affluence, and income inequality
| Unique citing works | 61 |
|---|---|
| Citations per year | 12,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 46 |