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Urban studies related to previous pandemics and impacts on cities focused on vulnerable categories including poor and marginalized groups. We continue this tradition and analyze unemployment outcomes in a context of a multi-dimensional social disadvantage that is unfolding during the ongoing public health crisis. For this, we first propose an approach to identify communities by social disadvantage status captured by several key metrics. Second, we apply this methodology in the study of the effect of social disadvantage on unemployment during the COVID-19 and measure the COVID-19-related economic impact using the most recent data on unemployment. The study focuses upon vulnerable communities in in the southeastern US (Tennessee) with a concentration of high social vulnerability and rural communities. While all communities initially experienced the impact that was both sudden and severe, communities that had lower social disadvantage pre-COVID were much more likely to start resuming economic activities earlier than communities that were already vulnerable pre-COVID due to high social disadvantage with further implications upon community well-being. The impact of social disadvantage grew stronger post-COVID compared with the pre-pandemic period. In addition, we investigate worker characteristics associated with adverse labor market outcomes during the later stage of the current economic recession. We show that some socio-demographic groups have a systematically higher likelihood of being unemployed. Compared with the earlier stages, racial membership, poverty and loss of employment go hand in hand, while ethnic membership (Hispanics) and younger male workers are not associated with higher unemployment. Overall, the study contributes to a growing contemporaneous research on the consequences of the COVID-19 recession. Motivated by the lack of the research on the spatial aspect of the COVID-19-caused economic recession and its economic impacts upon the vulnerable communities during the later stages, we further contribute to the research gap.
Anzhelika Antipova; Ehsan Momeni. Unemployment in Socially Disadvantaged Communities in Tennessee, US, During the COVID-19. Frontiers in Sustainable Cities 2021, 3, 1 .
AMA StyleAnzhelika Antipova, Ehsan Momeni. Unemployment in Socially Disadvantaged Communities in Tennessee, US, During the COVID-19. Frontiers in Sustainable Cities. 2021; 3 ():1.
Chicago/Turabian StyleAnzhelika Antipova; Ehsan Momeni. 2021. "Unemployment in Socially Disadvantaged Communities in Tennessee, US, During the COVID-19." Frontiers in Sustainable Cities 3, no. : 1.
It is an honor to write an Editorial to this Special Issue (SI) of Sustainability
Anzhelika Antipova; Salima Sultana; Yujie Hu; Jr. James P. Rhudy. Accessibility and Transportation Equity. Sustainability 2020, 12, 3611 .
AMA StyleAnzhelika Antipova, Salima Sultana, Yujie Hu, Jr. James P. Rhudy. Accessibility and Transportation Equity. Sustainability. 2020; 12 (9):3611.
Chicago/Turabian StyleAnzhelika Antipova; Salima Sultana; Yujie Hu; Jr. James P. Rhudy. 2020. "Accessibility and Transportation Equity." Sustainability 12, no. 9: 3611.
The paper tests whether low-income workers suffer a greater commuting cost burden compared with a typical commuter within the context of decreasing economic opportunity. The paper adds to the spatial mismatch research by studying the metropolitan area in the U.S. South, which experienced “some of the largest decreases” in job proximity in 2012. Memphis, Tennessee, saw the disproportionately steep declines in the average employment opportunities within a typical commute distance experienced by low-income and minority residents. The paper first delineates low-income neighborhoods across the study area, then identifies commuting patterns within the three-state study area including the greater Memphis, and lastly, it compares average commute lengths by a typical and a low-income commuter, as well as the shares of resident workers with a long commute by earning category. The paper offers insight into the ways in which the changes in spatial location of employment and population within the metropolitan area may impact commuting distance for disadvantaged low-income travelers. We show low-income workers commute statistically significantly shorter distances to their places of work compared with a typical commuter. Our other results find that disadvantaged workers in Shelby County, TN, are disproportionately concentrated in lower-wage industries, such as hospitality and retail service industries, compared to overall workers. Finally, a significantly greater proportion of disadvantaged workers travel long distances of over 50 miles compared with higher-earning workers, indicating the disparity in commuting patterns between a typical resident and a low-income worker.
Anzhelika Antipova. Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN. Sustainability 2020, 12, 1209 .
AMA StyleAnzhelika Antipova. Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN. Sustainability. 2020; 12 (3):1209.
Chicago/Turabian StyleAnzhelika Antipova. 2020. "Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN." Sustainability 12, no. 3: 1209.
This paper is presented as how data-enabled principles can be applied for the field of urban geography. It shows the fundamentals and examples for researchers in other fields to be considered. Specifically, we examine the link between three types of job concentrations and the site’s spatial and non-spatial factors using OnTheMap 2011 data. We empirically analyzed spatial and non-spatial attributes, respectively and combined. The logistic and OLS regression analyses indicate that overall job concentrations locate with access to large employment areas, major roads, freight facilities, and White labor, while proximate local roads and Black labor force deter jobs which confirms selective race-based business location decisions. Employment size reflects economic health of an area and is a predictor of growth. We modeled employment magnitude by spatial and non-spatial factors among various employment concentrations. For small and medium job concentrations, areal employment benefits from proximity to Memphis Aerotropolis which offers excellent transportation opportunities. Employment in medium-sized concentrations is associated with experienced older workers as well as female resident workers. Employment size in large job areas is inversely related to the distance to the CBD and is positively associated with available high-earning resident workers. The paper contributes to the field of data-enabled science where real-world systems are modeled quantitatively using extensive economic activities data sets. Although a single-time period data was analyzed, the principles demonstrated in the paper may be considered for analysis of time series discipline-specific problems of urban environment and those arising in other fields of endeavor.
Anzhelika (Angela) Antipova; Liza Skryzhevska; Hsiang Kung. The Impact of Geography and Labor upon the Size of Job Agglomerations in Memphis, Tennessee. Data-Enabled Discovery and Applications 2017, 1, 1 .
AMA StyleAnzhelika (Angela) Antipova, Liza Skryzhevska, Hsiang Kung. The Impact of Geography and Labor upon the Size of Job Agglomerations in Memphis, Tennessee. Data-Enabled Discovery and Applications. 2017; 1 (1):1.
Chicago/Turabian StyleAnzhelika (Angela) Antipova; Liza Skryzhevska; Hsiang Kung. 2017. "The Impact of Geography and Labor upon the Size of Job Agglomerations in Memphis, Tennessee." Data-Enabled Discovery and Applications 1, no. 1: 1.
Disasters and displacement increasingly affect and challenge urban settings. How do pregnant women fare in the aftermath of a major disaster? This paper investigates the effect of pregnancies in disaster situations. The study tests a hypothesis that pregnant women residing in hurricane‐prone areas suffer higher health risks. The setting is Louisiana in the Gulf Coast, United States, a state that continually experiences hurricane impacts. The time period for the analysis is three years following the landfall of Hurricane Andrew in 1992. We analysed low birth weight and preterm deliveries before and after landfall, as a whole and by race. Findings support an association between hazards and health of a community and indicate that pregnant women in the affected area, irrespective of race, are more likely to experience preterm deliveries compared to pre‐event births. Results suggest there is a negative health legacy impact in Louisiana as a result of hurricane landfall.
Anzhelika Antipova; Andrew Curtis. The post-disaster negative health legacy: pregnancy outcomes in Louisiana after Hurricane Andrew. Disasters 2015, 39, 665 -686.
AMA StyleAnzhelika Antipova, Andrew Curtis. The post-disaster negative health legacy: pregnancy outcomes in Louisiana after Hurricane Andrew. Disasters. 2015; 39 (4):665-686.
Chicago/Turabian StyleAnzhelika Antipova; Andrew Curtis. 2015. "The post-disaster negative health legacy: pregnancy outcomes in Louisiana after Hurricane Andrew." Disasters 39, no. 4: 665-686.