Historical Structural Racism in the Built Environment and Physical Health among Residents of Allegheny County, Pennsylvania.

Historical structural racism in the built environment contributes to health inequities, yet to date, research has almost exclusively focused on racist policy of redlining. We expand upon this conceptualization of historical structural racism by examining the potential associations of probable blockbusting, urban renewal, and proximity to displacement from freeway construction, along with redlining, to multiple contemporary health measures. Analyses linked historical structural racism, measured continuously at the census-tract level using archival data sources, to present-day residents' physical health measures drawn from publicly accessible records for Allegheny County, Pennsylvania. Outcome measures included average life expectancy and the percentage of residents reporting hypertension, stroke, coronary heart disease, smoking, insufficient sleep, sedentary behavior, and no health insurance coverage. Multiple regression analyses were conducted to examine separate and additive associations between structural racism and physical health measures. Redlining, probable blockbusting, and urban renewal were associated with shorter life expectancy and a higher prevalence of cardiovascular conditions, risky health behaviors, and residents lacking health insurance coverage. Probable blockbusting and urban renewal had the most consistent correlations with all 8 health measures, while freeway displacement was not reliably associated with health. Additive models explained a greater proportion of variance in health than any individual structural racism measure alone. Moreover, probable blockbusting and urban renewal accounted for relatively more variance in health compared to redlining, suggesting that research should consider these other measures in addition to redlining. These preliminary correlational findings underscore the importance of considering multiple aspects of historical structural racism in relation to current health inequities and serve as a starting point for additional research.

Environmental Support Moderates the association of Socioeconomic Distress and Delay Discounting across Adolescence.

Early exposure to socioeconomic distress is hypothesized to reinforce decision making that prioritizes immediate, relative to delayed, rewards (i.e., delay discounting); yet these relations have not been examined longitudinal across the vulnerable adolescent period. This study is one of the first to utilize objective and subjective measures to evaluate the relative effects of environmental disadvantage and the potential protective effects of perceived environmental support on delay discounting. A diverse (48.4% White; 46.7% female) sample of participants (N = 246) reported on their home addresses at baseline when they were, on average, 11.96 years old (SDage = 0.88); Youth then reported perceived environmental supports at baseline and delay discounting annually from ages 13 to 18. A socioeconomic distress index was derived from census tract rates of unemployment, income, educational attainment, and lone parenthood. Greater socioeconomic distress was associated with a greater propensity to discount delayed rewards at baseline. Findings also suggest greater perceived higher environmental support was associated with decreasing rates of delay discounting across adolescence for youth from highly socioeconomically distressed areas. These results highlight potential future avenues for preventative and intervention efforts to improve positive youth outcomes.

Community identified characteristics related to illegal dumping; a mixed methods study to inform prevention.

Illegal dumping is a public health burden for communities suffering from historical disinvestment. We conducted a mixed methods study to answer: 1) What are stakeholder perspectives on social/environmental determinants of illegal dumping? and 2) Do these or other characteristics predict known locations of illegal dumping? We employed an exploratory sequential design in which we collected and analyzed in-depth interviews (n=12) with service providers and residents and subsequently collected and analyzed data from multiple secondary sources. Stakeholders endorsed nine determinants of illegal dumping: Economic Decline, Scale of Vacancy, Lack of Monitoring, Poor Visibility, Physical Disorder, Illegal Activity, Norms, Accessibility, and Seclusion. Results demonstrate important community-identified, modifiable, social, and environmental characteristics related to illegal dumping with the potential to inform effective prevention.

Assessment of the Legionnaires' disease outbreak in Flint, Michigan.

The 2014-2015 Legionnaires' disease (LD) outbreak in Genesee County, MI, and the outbreak resolution in 2016 coincided with changes in the source of drinking water to Flint's municipal water system. Following the switch in water supply from Detroit to Flint River water, the odds of a Flint resident presenting with LD increased 6.3-fold (95% CI: 2.5, 14.0). This risk subsided following boil water advisories, likely due to residents avoiding water, and returned to historically normal levels with the switch back in water supply. During the crisis, as the concentration of free chlorine in water delivered to Flint residents decreased, their risk of acquiring LD increased. When the average weekly chlorine level in a census tract was <0.5 mg/L or <0.2 mg/L, the odds of an LD case presenting from a Flint neighborhood increased by a factor of 2.9 (95% CI: 1.4, 6.3) or 3.9 (95% CI: 1.8, 8.7), respectively. During the switch, the risk of a Flint neighborhood having a case of LD increased by 80% per 1 mg/L decrease in free chlorine, as calculated from the extensive variation in chlorine observed. In communities adjacent to Flint, the probability of LD occurring increased with the flow of commuters into Flint. Together, the results support the hypothesis that a system-wide proliferation of legionellae was responsible for the LD outbreak in Genesee County, MI.

Right Sizing Flint's Infrastructure in the Wake of the Flint Water Crisis Would Constitute an Additional Environmental Injustice.

Right sizing has become an essential talking point in discussing next steps for postindustrial and shrinking cities as they struggle to maintain outdated, outsized infrastructure. Yet the literature has been clear that balancing economic and social objectives must be a key part of the discussion, especially given that historical patterns of disinvestment have disproportionately affected socioeconomically disadvantaged and racial/ethnic minority populations. In this Viewpoint, we illuminate concerns on a recent article published in this journal on right sizing that Flint (MI) should have enacted in the wake of its catastrophic water crisis. We present the nature of decline in Flint, as well as evidence from Flint's recent master plan and its history with urban renewal that demonstrates why recommending such a policy not only goes against common urban planning practice but misses the local context in Flint, which is marked by deep-seated apprehension of the inequitable underpinnings of historical urban planning practice.

Using Zoning as a Public Health Tool to Reduce Alcohol Outlet Oversaturation, Promote Compliance, and Guide Future Enforcement: a Preliminary Analysis of Transform Baltimore.

Alcohol outlet oversaturation often exacerbates negative public health outcomes. Recently, Baltimore City passed an extensive zoning rewrite ("TransForm Baltimore") that sought to give local government and residents a tool to reduce alcohol outlet oversaturation through land use regulation. The present investigation evaluated the outlet and neighborhood characteristics of stores impacted by two components of TransForm Baltimore: (1) a requirement that taverns licensed for on-premise consumption in addition to off-premise, carryout sales generate at least 50% of their business from on-premise sales, and (2) a requirement to close, repurpose, or relocate all package stores (i.e., off-premise alcohol outlets) that have been operating as "non-conforming" in residential zones since 1971. Research assistants visited every off-premise alcohol outlet in the city (n = 685) to complete an observational assessment. Approximately 77% (n = 530) of these off-premise alcohol outlets were open, including 292 taverns and 238 package stores. t tests and chi-square tests were used to compare neighborhood characteristics (neighborhood disadvantage, median household income, and racial segregation) of sham taverns (i.e., taverns with less than 50% space dedicated for on-premise sales that were primarily operating as a package store) and non-conforming package stores. Of the 292 taverns accessible during the study, the remainder were chronically closed (n = 130); 24 (8.2%) were deemed sham taverns. Sham taverns were more likely to be located in communities with more economic disadvantage and lower median household income (t test; p < 0.05). Compared to taverns, a lower proportion of sham taverns had visible dance floor space, patrons drinking, and menus available (chi-square test; p < 0.001). There were 80 residentially zoned, non-conforming alcohol outlets. These non-conforming alcohol outlets were disproportionately distributed in predominately poor and African American communities (t test; p < 0.05). As compared to conforming alcohol outlets, more non-conforming alcohol outlets sold sex paraphernalia and healthy foods (chi-square test; p < 0.05). With active enforcement, TransForm Baltimore offers the opportunity for local government and residents to improve public health and increase health equity in vulnerable and marginalized neighborhoods.

Discrepancies in Local, State, and National Alcohol Outlet Listings: Implications for Research and Interventions.

BACKGROUND: The availability of local, state, and national data on alcohol outlet density have important implications for policies and interventions aiming to reduce alcohol-related problems. High-quality data on locations of alcohol outlets is important to accurately inform community interventions and public health initiatives, but such data is often not maintained, readily available, or of sufficient quality. Objectives: This study aims to examine the discrepancies between alcohol outlet databases and how neighborhood characteristics (i.e. income, majority racial population, urbanicity) are associated with the discrepancies between databases. Methods: Data was collected from national (n = 1), local (n = 2), and state databases (n = 3). Negative binomial regression models were used to assess discrepancies in alcohol outlet count at the ZIP code level based on the data source. Results: The average density of alcohol outlets (per 1000 residents) ranged from 0.71 to 2.17 in Maryland, 1.65 to 5.17 in Wisconsin, and 1.09 to 1.22 in Oregon based on different sources of data. Findings suggest high income areas (>200% poverty level) have fewer discrepancies (IR = 0.775, p < 0.01), low income areas (below poverty level) have greater discrepancies (IR = 4.990, p < 0.01), and urban areas tend to have fewer discrepancies (IR = 0.378, p < 0.01) between datasets. Conclusion: Interventions and policies depend on valid and reliable data; researchers, policymakers, and local agencies need to collaborate to develop methods to maintain accurate and accessible data.

A method for assessing links between objectively measured food store scores and store & neighborhood favorability.

Worldwide, interest in research on methods to define access to healthy food at the local level has grown, given its central connection to carrying out a healthy lifestyle. Within this research domain, papers have examined the spatial element of food access, or individual perceptions about the food environment. To date, however, no studies have provided a method for linking a validated, objective measure of the food environment with qualitative data on how people access healthy food in their community. In this study, we present a methodology for linking scores from a modified Nutrition Environment Measures Survey in Stores (conducted at every store in our study site of Flint, Michigan) with perceptions of the acceptability of food stores and shopping locations drawn from seven focus groups (n = 53). Spatial analysis revealed distinct patterns in visiting and avoidance of certain store types. Chain stores tended to be rated more highly, while stores in neighborhoods with more African-American or poor residents were rated less favorably and avoided more frequently. Notably, many people avoided shopping in their own neighborhoods; participants traveled an average of 3.38 miles to shop for groceries, and 60% bypassed their nearest grocery store when shopping. The utility of our work is threefold. First, we provide a methodology for linking perceived and objective definitions of food access among a small sample that could be replicated in cities across the globe. Second, we show links between perceptions of food access and objectively measured food store scores to uncover inequalities in access in our sample to illustrate potential connections. Third, we advocate for the use of such data in informing the development of a platforms that aim to make the process of accessing healthy food easier via non-food retail based interventions. Future work can replicate our methods to both uncover patterns in distinct food environments and aid in advocacy around how to best intervene in the food environment in various locales.

A comparative analysis of the restaurant consumer food environment in Rochester (NY, USA) and London (ON, Canada): assessing children's menus by neighbourhood socio-economic characteristics.

OBJECTIVE: To assess restaurant children's menus for content and nutritional quality; and to investigate the relationship between the restaurant consumer food environment for children and neighbourhood-level socio-economic characteristics within and between one Canadian city and one US city. DESIGN: Cross-sectional observational study. SETTING: London, ON, Canada and Rochester, NY, USA.ParticipantsRestaurant children's menus were assessed, scored and compared using the Children's Menu Assessment tool. We quantified neighbourhood accessibility to restaurants by calculating 800 m road-network buffers around the centroid of each city census block and created a new Neighbourhood Restaurant Quality Index for Children (NRQI-C) comprising the sum of restaurant menu scores divided by the total number of restaurants within each area. After weighting by population, we examined associations between NRQI-C and neighbourhood socio-economic characteristics using correlations and multiple regression analyses. RESULTS: Nutritional quality of children's menus was greater, on average, in Rochester compared with London. Only one variable remained significant in the regression analyses for both cities: proportion of visible minorities had a positive effect on neighbourhood NRQI-C scores in London, whereas the reverse was true in Rochester. CONCLUSIONS: Results suggest the presence of a socio-economic disparity within Rochester, where children in more disadvantaged areas have poorer access to better nutritional quality restaurant choices. In London, results suggest an inverse relationship across the city where children in more disadvantaged areas have better access to better nutritional quality restaurant choices. Given these disparate results, research on restaurant nutritional quality for children requires additional consideration.

Using Zoning as a Public Health Tool to Reduce Oversaturation of Alcohol Outlets: an Examination of the Effects of the New "300 Foot Rule" on Packaged Goods Stores in a Mid-Atlantic City.

The oversaturation of alcohol outlets can have disastrous public health consequences. The goal of this study was to evaluate the potential impact of new zoning legislation, TransForm Baltimore on locations of alcohol outlets. More specifically, the study sought to determine the effect of the new zoning code on the potential redistribution of alcohol outlets and also provide empirical support for the need to actively monitor redistribution of outlets to avoid further inequitable oversaturation in disadvantaged neighborhoods. Data on off-premise alcohol outlets (e.g., packaged goods stores) were obtained from the Board of Liquor License Commissioners for Baltimore City. The alcohol outlets were geocoded and assigned to zoning parcels. Churches and schools were also geocoded. The alcohol outlets were also assigned to census tracts to calculate socioeconomic statuses. One hundred seventy-two of the 263 off-premise packaged goods stores (PGS) were in violation of the new zoning law. TransForm will reduce the land parcels available to alcohol outlets by 27.2%. Areas containing non-conforming PGS were more likely to have a higher percentage of Black residents, single parent-families, unemployment, household poverty, and vacancy compared to Baltimore City averages and areas without non-conforming PGS. Planning enforcement efforts need to accompany related laws to prevent/reduce overconcentration of PGS in disadvantaged neighborhoods.

The Flint Food Store Survey: combining spatial analysis with a modified Nutrition Environment Measures Survey in Stores (NEMS-S) to measure the community and consumer nutrition environments.

OBJECTIVE: The goal of the present study was to use a methodology that accurately and reliably describes the availability, price and quality of healthy foods at both the store and community levels using the Nutrition Environment Measures Survey in Stores (NEMS-S), to propose a spatial methodology for integrating these store and community data into measures for defining objective food access. SETTING: Two hundred and sixty-five retail food stores in and within 2 miles (3·2 km) of Flint, Michigan, USA, were mapped using ArcGIS mapping software. DESIGN: A survey based on the validated NEMS-S was conducted at each retail food store. Scores were assigned to each store based on a modified version of the NEMS-S scoring system and linked to the mapped locations of stores. Neighbourhood characteristics (race and socio-economic distress) were appended to each store. Finally, spatial and kernel density analyses were run on the mapped store scores to obtain healthy food density metrics. RESULTS: Regression analyses revealed that neighbourhoods with higher socio-economic distress had significantly lower dairy sub-scores compared with their lower-distress counterparts (ß coefficient=-1·3; P=0·04). Additionally, supermarkets were present only in neighbourhoods with <60 % African-American population and low socio-economic distress. Two areas in Flint had an overall NEMS-S score of 0. CONCLUSIONS: By identifying areas with poor access to healthy foods via a validated metric, this research can be used help local government and organizations target interventions to high-need areas. Furthermore, the methodology used for the survey and the mapping exercise can be replicated in other cities to provide comparable results.

Does Non-Targeted Community CPR Training Increase Bystander CPR Frequency?

OBJECTIVE: Only 37% of out-of-hospital cardiac arrests (OHCA) receive bystander Cardiopulmonary resuscitation (CPR) in Kent County, MI. In May 2014, prehospital providers offered one-time, point-of-contact compression-only CPR training to 2,253 passersby at 7 public locations in Grand Rapids, Michigan. To assess the impact of this intervention, we compared bystander CPR frequency and clinical outcomes in regions surrounding training sites before and after the intervention, adjusting for prehospital covariates. We aimed to assess the effect of this broad, non-targeted intervention on bystander CPR frequency, type of CPR utilized, and clinical outcomes. We also tested for differences in geospatial variation of bystander CPR and clinical outcomes clustered around training sites. METHODS: Retrospective, observational, before-after study of adult, EMS-treated OHCA in Kent County from January 1, 2010 to December 31, 2015. We generated a 5-kilometer radius surrounding each training site to estimate any geospatial influence that training sites might have on bystander CPR frequency in nearby OHCA cases. Chi-squared, Fisher's exact, and t-tests assessed differences in subject features. Difference-in-differences analysis with generalized estimating equation (GEE) modeling assessed bystander CPR frequency, adjusting for training site, covariates (age, sex, witnessed, shockable rhythm, public location), and clustering around training sites. Similar modeling tested for changes in bystander CPR type, return of spontaneous circulation (ROSC), survival to hospital discharge, and cerebral performance category (CPC) of 1-2 at hospital discharge. RESULTS: We included 899 cases before and 587 cases post-intervention. Overall, we observed no increase in the frequency of bystander CPR or favorable clinical outcomes. We did observe an increase in compression-only CPR, but this was paradoxically restricted to OHCA cases falling outside radii around training sites. In adjusted modeling, the bystander CPR training intervention was not associated with bystander CPR frequency (ß -0.002; 95% CI -0.16, 0.15), compression-only CPR (ß -0.06; 95% CI -0.15, 0.02), ROSC (ß -0.06; 95% CI -0.21, 0.25), survival (ß -0.02; 95% CI -0.11, 0.06), or favorable neurologic outcome (ß -0.01; 95% CI -0.07, 0.09). CONCLUSIONS: We observed no impact in bystander CPR performance or outcomes from a blanket, non-targeted approach to community CPR education. The effect of targeted CPR education in locales with known low bystander CPR rates should be tested in this region.

Four phases of the Flint Water Crisis: Evidence from blood lead levels in children.

The Flint Water Crisis (FWC) is divisible into four phases of child water-lead exposure risk: Phase A) before the switch in water source to the Flint River (our baseline); Phase B) after the switch in water source, but before boil water advisories; Phase C) after boil water advisories, but before the switch back to the baseline water source of the Detroit Water and Sewerage Department (DWSD); and Phase D) after the switch back to DWSD. The objective of this work is to estimate water-lead attributable movements in child blood lead levels (BLLs) that correspond with the four phases in the FWC. With over 21,000 geo-referenced and time-stamped blood lead samples from children in Genesee County drawn from January 01, 2013 to July 19, 2016, we develop a series of quasi-experimental models to identify the causal effect of water-lead exposure on child BLLs in Flint. We find that the switch in water source (transitioning from phase A to B) caused mean BLLs to increase by about 0.5µg/dL, and increased the likelihood of a child presenting with a BLL ≥ 5µg/dL by a factor of 1.91-3.50, implying an additional 561 children exceeding 5µg/dL. We conservatively estimate cohort social costs (through lost earnings alone) of this increase in water-lead exposed children at $65 million, contrasted with expected annual savings of $2 million from switching water source. On the switch from Phase B to C, we find BLLs decreased about 50% from their initial rise following boil water advisories and subsequent water avoidance behaviors by households. Finally, the return to the baseline source water (Phase D) returned child BLLs to pre-FWC levels further implicating water-lead exposure as a causal source of child BLLs throughout the FWC.

'Nobody Shops at the Neighborhood Store': Leveraging a Community's Pediatric Fresh Produce Prescription Program to Inform Future Participating Store Redemption Locations.

Research examining the nature of food shopping often considers proximity to the nearest or overall distance travelled to multiple stores. Such studies make up a portion of new work on so-called 'food deserts' and the issues inherent in the term, including that most people do not shop at their nearest store, and mobility challenges vary vastly from one person to the next. Increasing the knowledge base on shopping characteristics could be useful for behavioral interventions and programs aimed at increasing healthy food shopping. In this study, we examined the shopping characteristics of 627 caregivers whose children were enrolled in a pediatric fresh produce prescription program at one of three large pediatric clinics in Flint, Michigan. We compared these characteristics to the potential of a new food cooperative to improve geographic accessibility to healthy food. In particular, we propose the expansion of the prescription program to this new cooperative for health-related as well as local economic development reasons. Our work bridges topics of interest to researchers and practitioners working in nutrition, food access, and economic development.

Neighborhood mobility and racial disparities in preterm birth: A sibling study in California.

Recent work finds that upward neighborhood mobility-defined as reductions in neighborhood socioeconomic disadvantage due to moving-may improve birth outcomes. Less work, however, explores whether changes in socioeconomic context differentially impact birth outcomes by maternal race and ethnicity. In the US, mothers of minoritized racial and ethnic identity often experience worse neighborhood conditions and pregnancy outcomes than White mothers. Using a sibling-linked dataset, we examined whether neighborhood mobility corresponds with changes in preterm birth risk among Asian (N = 130,079), Black (N = 50,149), Hispanic (N = 429,938), and White (N = 233,428) mothers who delivered multiple live births in California between 2005 and 2015. We linked residential addresses at each birth to census-derived indices of neighborhood disadvantage and defined levels of neighborhood mobility as moving-induced changes in disadvantage between pregnancies. We mapped neighborhood mobility patterns and fit conditional logistic regression models estimating the odds of preterm birth in the sibling delivered after moving, controlling for the risk of preterm birth in the sibling delivered before moving, by maternal race and ethnicity. Dot density maps highlight racialized patterns of neighborhood mobility and segregation between Black and White mothers. Regression results show that Black and, in some cases, Asian and Hispanic mothers who experienced upward mobility (moves away from neighborhood disadvantage) exhibited reduced odds of preterm birth in the second delivery. Upward mobility did not reduce the odds of preterm birth among White mothers. Findings suggest that policies and programs that enable opportunities for neighborhood mobility may reduce persistent racial and ethnic disparities in adverse birth outcomes.

Historical Structural Racism in the Built Environment and Contemporary Children's Opportunities.

BACKGROUND AND OBJECTIVES: There are well-documented links between structural racism and inequities in children's opportunities. Yet, when it comes to understanding the role of the built environment, a disproportionate focus on redlining obscures other historical policies and practices such as blockbusting, freeway displacement, and urban renewal that may impact contemporary child development. We hypothesized that historical structural racism in Allegheny County, Pennsylvania's, built environment would be associated with fewer contemporary educational, socioeconomic, and health opportunities. We also hypothesized that these measures would explain more collective variance in children's opportunities than redlining alone. METHODS: We used geospatial data from the US Census, Mapping Inequality Project, and other archival sources to construct historical measures of redlining, blockbusting, freeway displacement, and urban renewal in ArcGIS at the census tract level. These were linked with data from the Child Opportunity Index 2.0 to measure children's opportunities across domains of education, socioeconomic status, and health. We ran spatial regression analyses in Stata 18.0 to examine individual and collective associations between structural racism and children's opportunities. RESULTS: Historical redlining, blockbusting, and urban renewal were largely associated with fewer contemporary educational, socioeconomic, and health opportunities, and explained up to 47.4% of the variance in children's opportunities. The measures collectively explained more variance in children's opportunities than redlining alone. CONCLUSIONS: In support of our hypotheses, novel measures of structural racism were related to present-day differences in children's opportunities. Findings lay the groundwork for future research focused on repairing longstanding harm perpetuated by structural racism.

Increased disparities in waitlist and post-heart transplantation outcomes according to socioeconomic status with the new heart transplant allocation system.

BACKGROUND: The study objective was to assess disparities in outcomes in the waitlist and post-heart transplantation (HT) according to socioeconomic status (SES) in the old and new U.S. HT allocation systems. METHODS: Adult HT candidates in the United Network for Organ Sharing database from 2014 through 2021 were included. Old or new system classification was according to listing before or after October 18, 2018. SES was stratified by patient ZIP code and median household income via U.S. Census Bureau and classified into terciles. Competing waitlist outcomes and post-transplantation survival were compared between systems. RESULTS: In total, 26,450 patients were included. Waitlisted candidates with low SES were more frequently younger, female, African American, and with higher body mass index. Reduced cumulative incidence (CI) of HT in the old system occurred in low SES (53.5%) compared to middle (55.7%, p = 0.046), and high (57.9%, p < 0.001). In the new system, the CI of HT was 65.3% in the low SES vs middle (67.6%, p = 0.002) and high (70.2%, p < 0.001), and SES remained significant in the adjusted analysis. In the old system, CI of death/delisting was similar across SES. In the new system, low SES had increased CI of death/delisting (7.4%) vs middle (6%, p = 0.012) and high (5.4%, p = 0.002). The old system showed similar 1-year survival across SES. In the new system, recipients with low SES had decreased 1-year survival (p = 0.041). CONCLUSIONS: SES affects waitlist and post-transplant outcomes. In the new system, all SES had increased access to HT; however, low SES had increased death/delisting due to worsening clinical status and decreased post-transplant survival.

Built and social indices for hazards in Children's environments.

Leveraging the capabilities of the Historical Spatial Data Infrastructure (HSDI) and composite indices we explore the importance of children's built and social environments on health. We apply contemporary GIS methods to a set of 2000 historical school records contextualized within an existing HSDI to establish seven variables measuring the relative quality of each child's built and social environments. We then combined these variables to create a composite index that assesses acute (short-term) health risks generated by their environments. Our results show that higher acute index values significantly correlated with higher presence of disease in the home. Further, higher income significantly correlated with lower acute index values, indicating that the relative quality of children's environments in our study area were constrained by familial wealth. This work demonstrates the importance of analyzing multiple activity spaces when assessing built and social environments, as well as the importance of spatial microdata.