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10.1016/j.jtrangeo.2020.102894

http://scihub22266oqcxt.onion/10.1016/j.jtrangeo.2020.102894
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33519126!7832451!33519126
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suck abstract from ncbi


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pmid33519126      J+Transp+Geogr 2020 ; 89 (ä): 102894
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  • Are stay-at-home orders more difficult to follow for low-income groups? #MMPMID33519126
  • Lou J; Shen X; Niemeier D
  • J Transp Geogr 2020[Dec]; 89 (ä): 102894 PMID33519126show ga
  • 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.
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