@article{ref1,
title="Are stay-at-home orders more difficult to follow for low-income groups?",
journal="Journal of transport geography",
year="2020",
author="Lou, Jiehong and Shen, Xingchi and Niemeier, Deb",
volume="89",
number="",
pages="e102894-e102894",
abstract="In response to the COVID-19 pandemic, a growing number of states, counties and cities in the United States issued mandatory stay-at-home orders as part of their efforts to slow down the spread of the virus. We argue that the consequences of this one-size-fits-all order will be differentially distributed among economic groups. In this paper, we examine social distance behavior changes for lower income populations. We conduct a comparative analysis of responses between lower-income and upper-income groups and assess their relative exposure to COVID-19 risks. Using a difference-in-difference-in-differences analysis of 3140 counties, we find social distance policy effect on the lower-income group is smaller than that of the upper-income group, by as much as 46% to 54%. Our explorations of the mechanisms behind the disparate effects suggest that for the work-related trips the stay-at-home orders do not significantly reduce low income work trips and this result is statistically significant. That is, the share of essential business defined by stay-at-home orders is significantly negatively correlated with income at county level. In the non-work-related trips, we find that both the lower-income and upper-income groups reduced visits to retail, recreation, grocery, and pharmacy visits after the stay-at-home order, with the upper-income group reducing trips more compared to lower-income group.<p /> <p>Language: en</p>",
language="en",
issn="0966-6923",
doi="10.1016/j.jtrangeo.2020.102894",
url="http://dx.doi.org/10.1016/j.jtrangeo.2020.102894"
}