Drawing on household survey data from nine communities in north-central Colorado, this study applies five migrant–non-migrant classification methods to examine how the differences/similarities between the migrants and non-migrants (or ‘‘newcomers’’ and ‘‘oldtimers’’) may vary across different approaches.
Using data of households affected by hurricanes Katrina and Rita, extracted from the Public Use Microdata Samples (PUMS) of the 2006 ACS , the study presents a micro-level migration-income model for a disaster of catastrophic dimensions.
The paper examines how the health risk from industrial toxins varies by the 19 most commonly used residential segregation measures using segregation measures for the 331 Metropolitan/Primary Metropolitan (M/PMSA) in the continental United States.
The paper examines associations between air toxics risk estimates from multiple pollutant sources and grade point averages among a representative, population based sample of 1895 fourth and fifth graders in El Paso, Texas, USA.
Taking the Orleans Parish as case study over a 5-year period, between the start of the post-Katrina period (2006) and each subsequent year (2007, 2008,2009,2010), the study shows how population displacement from and, ultimately, recovery in a disaster-affected area ripples through migration systems, both directly and indirectly, redistributing populations as a means of coping with and recovering from a disaster’s impacts.
The study investigates a sample of vulnerable families displaced by Katrina, seven hundred low-income, mostly minority mothers in community college in New Orleans before Katrina were tracked across the country a year and a half later, compared to their neighborhoods before Katrina and the neighborhoods of those who returned or stayed behind.
Using the case of Shishmaref, Alaska, a rural Iñupiat community on the northwest coast of Alaska facing habitual flooding disasters linked to climate change, this article integrates research on disasters and climate change-induced migration with emerging perspectives from environmental psychology and the psychology of natural disasters to consider the potential costs of particular migration scenarios.
By linking objective data on built and social environments with multiple measures of pollution and a representative survey of Chicago residents, this paper investigates perceptions of residential outdoor air quality.
In this study, results demonstrate that geographically weighted regression (GWR) is a powerful tool for understanding relationships between environmental conditions, social characteristics, and health inequalities. In this case, GWR results suggest pest remediation as a tool to improve children’s respiratory health in the “downtown,” “south side,” and “northeast” sides of El Paso.
