Background Low dietary quality is a key contributor to obesity and related illnesses, and lower income is generally associated with worse dietary profiles. The unequal geographic distribution of healthy food resources could be a key contributor to income disparities in dietary profiles. Purpose To explore the role that economic segregation can have in creating income differences in healthy eating and to explore policy levers that may be appropriate for countering income disparities in diet. Methods A simple agent-based model was used to identify segregation patterns that generate income disparities in diet. The capacity for household food preferences and relative pricing of healthy foods to overcome or exacerbate the differential was explored. Results Absent other factors, income differentials in diet resulted from the segregation of high-income households and healthy food stores from low-income households and unhealthy food stores. When both income groups shared a preference for healthy foods, low-income diets improved but a disparity remained. Both favorable preferences and relatively cheap healthy foods were necessary to overcome the differential generated by segregation. Conclusions The model underscores the challenges of fostering favorable behavior change when people and resources are residentially segregated and behaviors are motivated or constrained by multiple factors. Simulation modeling can be a useful tool for proposing and testing policies or interventions that will ultimately be implemented in a complex system where the consequences of multidimensional interactions are difficult to predict.

The 1921 Tulsa Race Massacre resulted in the looting, burning, and leveling of 35 square blocks of a once-thriving Black neighborhood. Not only did this lead to severe economic loss, but the massacre also sent a warning to Black individuals across the country that similar events were possible in their communities. We examine the economic consequences of the massacre for Black populations in Tulsa and across the United States. We find that for the Black population of Tulsa, in the two decades that followed, the massacre led to declines in home ownership and occupational status. Outside of Tulsa, we find that the massacre also reduced home ownership. These effects were strongest in communities that were more exposed to newspaper coverage of the massacre or communities that, like Tulsa, had high levels of racial segregation. Examining effects after 1940, we find that the direct negative effects of the massacre on the home ownership of Black Tulsans, as well as the spillover effects working through newspaper coverage, persist and actually widen in the second half of the 20th Century.

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Some oil spills cause losses of ecological services in coastal wetlands, other shoreline environments, intertidal ecosystems, and upland environments. In the United States, habitat equivalency analysis (HEA) is being used frequently in natural resource damage assessments for such oil spills to determine the scale of compensatory-restoration projects needed to offset the ecological service losses. The cost of the scaled compensatory-restoration project(s) that offset the ecological service losses is the measure of natural resource damages for the lost ecological services. Our paper describes the HEA process and provides an example of its application. Then we examine several challenges that arise in some HEA applications, including the role of leasing versus purchasing compensatory habitat, increasing values of compensatory habitat over time due to decreasing availability, accounting for service gains from compensatory habitat in the distant future when the present value of those services is essentially zero, and addressing uncertainties in estimating HEA inputs (such as the magnitude of annual service losses and gains). The final section of our paper provides our conclusions with respect to these challenges.