Staying at Home: Mobility Effects of COVID-19

By S. Engle, John Stromme, Anson Zhou. Social Science Research Network, 2020

336 citations recorded by the source corpus.

We combine GPS data on changes in average distance traveled by individuals at the county level with COVID-19 case data and other demographic information to estimate how individual mobility is affected by local disease prevalence and restriction orders to stay-at-home. We find that a rise of local infection rate from 0% to 0.003% is associated with a reduction in mobility by 2.31%. An official stay-at-home restriction order corresponds to reducing mobility by 7.87%. Counties with larger shares of population over age 65, lower share of votes for the Republican Party in the 2016 Presidential Election, and higher population density are more responsive to disease prevalence and restriction orders.

Subfields: Transportation

View Paper: https://www.semanticscholar.org/paper/d2a3bc8a4eeb1b71625e5c9a8188ad73657ae683

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. E. Karger
2. Łukasz Grzęda
3. M. Shahin
4. Katarzyna Czech
5. Muhammad Abdullah
6. Michał Wielechowski
7. D. Muley
8. D. Alexander

Citations in the corpus

• Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior (2020, background): “For additional examples of how stay-at-home orders affect mobility, see Brodeur, Grigoryeva, and Kattan (2020), Brzezinski et al. (2020), Engle, Stromme, and Zhou (2020), Goolsbee and Syverson (2021), and Wright et al. (2020) in the United States and Ajzenman, Cavalcanti, and Da Mata (Forthcoming)…”
• COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions (2020, neutral): “The secondary goal of this study is to simulate the impact caused in the economy by the different types of mobility restrictions [62, 63, 64, 65] imposed by the authorities.”
• Exploring the impacts of COVID-19 on travel behavior and mode preferences (2020, background): “Further, a rise of the local infection rate from 0% to 0.0003% lowered the mobility by 2.31% (Engle et al., 2020).”
• Decline in Mobility: Public Transport in Poland in the time of the COVID-19 Pandemic (2020, result): “It is in line with the results of Engle et al. (2020) who show that government stay-at-home restrictions induce a greater mobility decrease than a rise of local infection rate.”