Spatial Access to Health Care Services and Disparities in Colorectal Cancer Stage at Diagnosis in Texas

Early diagnosis of colorectal cancer (CRC) is important for improving the survival rate of the disease. Disparities in CRC diagnosis among different population groups have persisted in the United States. This study examines whether spatial access to medical services contributes to disparities of late-stage diagnosis of CRC in Texas. Analysis results suggest that there are significant disparities in late-stage CRC diagnosis by race/ethnicity, socioeconomic status, and geographic location in Texas. It is concluded that spatial access to primary care is associated with CRC stage at diagnosis, but not with racial/ethnic and socioeconomic disparities.     

Equity in the distribution of urban environmental amenities: the case of Washington,D.C.

This study examines equity issues in access to urban environmental amenities using Washington, D.C. as a case study. The amenities that are the focus of this study, urban trees and urban parks, have a range of social and health benefits for city dwellers, and Washington, D.C. is a major city with a large, diverse population and long-standing geographic divisions by race and class. Using spatial regression techniques, the study examines disparities in access to these amenities by race, ethnicity, and socioeconomic status at citywide and sub-city scales. Mixed evidence is found for disparities in access across amenities and across scales. The results emphasize the need for studies of access to urban environmental amenities to pay closer attention to the differences between amenities and to issues of scale.     

Two Tales of a City: detecting socio-economic disadvantage in an ‘advantaged’ Australian urban centre

Understanding the distribution of socio-economic status (SES) within and between communities of varying spatial scales is vital for equitable and effective resource delivery and policy development. In Australia, the Socio-economic Indexes for Areas (SEIFA) have been used extensively for these purposes, in both research and government service delivery. As area-based averages, however, their use in these areas is potentially confounded by the ecological fallacy and the modifiable areal unit problem (MAUP), statistical issues which have widespread implications for the use of spatial data. The Socio-economic Index for Individuals (SEIFI) is an individual-based index developed by the ABS to quantify SES at an individual level for 15–64 year-old Australians. Previous work investigated the potential disparities between these area- and individual-level indices, showing that considerable disparities exist, particularly in the Australian Capital Territory (ACT). Using spatial autocorrelation and pair-wise proportion analyses, we show that there was considerable diversity in individual-level SES at a very fine level of geography in 2006, a unique pattern in Australia. We also show that the SES ranking of areas within the ACT is, in many instances, not indicative of the proportions of individuals living within that area experiencing high levels of relative socio-economic disadvantage. We show that between 65–95 per cent of the ACT's disadvantaged population are masked within areas ranked as advantaged, depending on the index and level of spatial aggregation. Our results suggest that the use of SEIFA as a proxy for individual level disadvantage is highly problematic at both a theoretical and practical level, and necessitates further development of an individual- or household-level index as part of the regular suite of socio-economic indices produced by the ABS.     

The relationship between obesity and socioeconomic status among Texas school children and its spatial variation

Understanding the relationships between obesity and socioeconomic status (SES) among school children and the spatial variation of such relationship is essential for developing appropriate intervention strategies. In this study, we employed Local Entropy Map (LEM) to explore the spatial patterns of the relationship at school district level in Texas. Children's obesity was measured by Body Mass Index (BMI). The BMI data for this study were obtained from Physical Fitness Assessment Initiative (PFAI) program that has been coordinated by Texas Education Agency (TEA). SES was described by six variables, which were further reduced into two factors, namely Household SES and Neighborhood SES. The study period was 2012–2013 academic year. LEM analyses revealed clear spatial variation of the relationship between obesity and SES at school-district level. In particular, the prevalence of obesity among school children was found to be significantly related to Household SES and Neighborhood SES in four regions in Texas. These four regions are centered in major metropolitan areas in Texas, including San Antonio, Dallas-Fort Worth, Houston, and Lubbock. Further regression analyses showed variation of the relationship across these four regions. Obesity among school children in Texas was found to be more related to Household SES than Neighborhood SES; the relationship was strongest in San Antonio region. These findings may suggest the presence of obesogenic environment in the low SES school districts in these regions. Further studies to examine the particular nature of the obesogenic environment in these school districts are needed in order to support the development of regionalized policy and practice that can be more effective in addressing locale specifics.     

Housing Foreclosure as A Geographically Contingent Event: Columbus Ohio 2003–2007

This article seeks to better understand geographic manifestations of housing foreclosure, moving beyond the usual portrayal that highlights, e.g., race/ethnicity and income. We depart from the usual analytical strategy which centers on factors that subsume high proportions of variance. Instead, this is the starting point for considering constellations and idiosyncratic but formative characteristics—contingencies—that further understanding of, e.g., why two households with identical attributes experience different outcomes. Empirical focus is on Columbus Ohio, 2003–2007. Regression analysis identifies central tendencies, followed by regression tree procedures that reveal variable combinations which alter correlational expectations. Unique areas are examined by neighborhood reconnaissance, exploratory data analysis, interviews, and archival research. Relevant factors include race/ethnicity and socio-economic characteristics. Beyond that, differing variable combinations lead to different outcomes, as do processes such as neighborhood life cycle, institutional actions/involvement, and year of home purchase/construction relative to housing de/inflation and mortgage market characteristics.     

Modelling of geographic cancer risk factor disparities in US counties

The goal of this research is to create a theoretical framework for the identification of cancer risk factor disparities and address the recognition of geographic patterns in these factors. 34 secondary variables covering the entire US at the county level in 2010 were analyzed, both individually and grouped (theoretically and statistically), in relation to the mortality to incidence ratio (MIR) for all cancer sites. An a priori assessment and a principal components analysis (PCA) were used to group variables to test societal constructs. OLS and geographically weighted regressions (GWRs) were used to assess influence of both individual and grouped variables against the MIR. The theoretical grouping of variables showed little change in predictive capability of OLS models. In GWR model, there was marked improvement over the OLS. Maps produced using local R2 showed clear regional patterns of influence between the indicators and the MIR. Both the theoretical model and the justification for a spatial approach to cancer risk factor disparities were shown to be effective in this paper. The link between this suite of indicators and the health outcomes is clear, and supports the idea that a full representation of the SES landscape should be used to both predict health outcomes and to assess policy options for improving these outcomes. With the presence of definitive regional patterns and clear connections between the MIR and societal groupings, the findings from this research suggest a need to shift to a more comprehensive and spatial approach to cancer disparities research.     

改革开放以来广东省利用外资的时空差异特征

本文阐述了改革开放以来广东省利用外资的时空差异特征，结合国际内国政治经济形势将广东省利用外资的过程划分为５个阶段，并分析各阶段的主要特点，借助于定量分析方法考察外资在广东的地域分布特征及其形成原因，研究表明，改革开放以来广东省利用外资的不稳定增长过程和明显地域差异是省内各区投资环境的地域差异和国家外资政策综合作用的结果。最后，对广东省的经济发展和利用外资工作提出了建议。     

Environmental Health Injustice: Exposure to Air Toxics and Children's Respiratory Hospital Admissions in El Paso,Texas

Although much environmental justice research tacitly assumes that unequal environmental exposures produce geographic disparities in adverse health outcomes, very few empirical environmental justice studies have tested that assumption. This article does so by using estimates of exposure to air toxics disaggregated by emission source (point and mobile) to predict children's hospitalization rates for both asthma and respiratory infections in El Paso, Texas. Air toxics emissions from most source categories were found to be significant predictors of children's respiratory infection hospitalization rates, but not asthma hospitalization rates, at the census tract level. Findings suggest that sociospatial disparities in respiratory infection rates might be linked to environmental inequalities.     

The residential segregation of San Antonio,Texas in 1910: an analysis of ethno-racial and occupational spatial patterns with the colocation quotient

The segregation of cities can be traced to a time when the compartmentalization of space and people was based on factors other than race. In segregation research, one of the limiting factors has always been the geographic scale of the data, and the limited knowledge that exists of segregation patterns when the household is the unit of analysis. Historical census data provides the opportunity to analyze the disaggregated information, and this paper does so with San Antonio during 1910. A spatial analysis of residential segregation based on race, ethnicity, and occupations is carried out with the colocation quotient to map and measure the attraction of residents. Results reveal the presence of residential segregation patterns on different sectors of the city based on households’ ethno-racial and occupational attributes; therefore, providing evidence of the existence of residential segregation prior to the commonly cited determinants of segregation of the 20th century.     

Reconsidering Race,Class, and Residential Segregation in American Cities

Scholars have often discounted social class as a substantial contributor to residential segregation by race, in part as a result of using the dissimilarity index, which is likely to show high levels of uneven group distribution regardless of socioeconomic status (SES), and in part as a result of using limited categories of SES. This study expands on prior research by examining residential segregation between black-alone and white-alone households in 36 metropolitan statistical areas (MSAs) with 2000 decennial census data, using both spatial unevenness (dissimilarity) and two types of experiential indicators (exposure indices), measuring SES across income levels and accounting for the presence of other races. Findings show that black households with higher incomes live in neighborhoods with greater exposure and lower isolation than do black households with lower incomes. Additionally, while the dissimilarity of black households decreases with income, unevenness is not as strongly connected to income as are the experiential measures. While race remains a primary determinant of residential segregation, results indicate substantial class differences.     

基于区域分离系数的江苏省区域经济差异成因定量分析

本文以人均国内生产总值为测度区域经济差异的变量指标,运用基尼系数和塞尔指数定量评价了改革开放以来江苏省区域经济差异总体水平与变化特征,主要表现为区域总差异扩大的同时,苏南、苏中与苏北三大区域之间的差异和县域之间的差异不断扩大;在此基础上,分析了历史发展基础、经济区位条件、区域发展策略、产业结构转换、乡镇企业发展、经济全球化和市场发育程度等7个因素对江苏省区域经济差异及其变化的影响,并引用国外的区域分离系数方法,定量比较了它们的主次关系。分析结果表明:市场发育程度、产业结构转换和区域发展策略是造成江苏省区域经济差异扩大的最主要因素。     

RACE,IMMIGRANTS, AND RESIDENCE: A NEW RACIAL GEOGRAPHY OF WASHINGTON,D.C.*

ABSTRACT. This study examines the residential patterns of immigrant newcomers within a relatively new immigrant destination, Washington, D.C. Particular attention is given to how these patterns are shaped by the newcomers' race and ethnicity. Our analysis is based primarily upon data on immigrant flows from the U.S. Immigration and Naturalization Service for the 1990–1998 period. Evidence from our study suggests a racial and ethnic hierarchy to the residential location of Africans, Asians, Europeans, and Latin Americans, providing some support for the pattern expected in the place‐stratification model. When their residential patterns are compared with those of non‐Hispanic blacks, we find that African newcomers are more likely to settle among blacks than are other regional‐origin groups. However, Africans are also found to reside in multiethnic zip codes where large numbers of newcomers are concentrated. The findings suggest that race is an important but not exclusive factor in explaining the residential choices of recent immigrants.     

Australian ‘gayborhoods’ and ‘lesborhoods’: a new method for estimating the number and prevalence of adult gay men and lesbian women living in each Australian postcode

ABSTRACT

Gay men and lesbian women often demonstrate unique settlement patterns, forming what have been referred to as ‘gayborhoods’. This study sought to provide the first postcode-level estimates of population size and prevalence of gay and lesbian people in Australia. Data on same-gender-partnered households from the Australian Census were combined with information from six different surveys conducted from 2011 to 2017. We estimated that in 2016 there were 132,203 gay men (1.5% of adult males; 95% CI: 1.4–1.6) and 79,931 lesbian women (0.9% of adult females; 95% CI: 0.8–1.0) in Australia. While many postcodes were sparsely populated by gay and lesbian people (40.1% had prevalences of <0.1%), 24.6% were moderately populated (prevalences in the 50-95th percentile) and 2.7% were highly populated (95th percentile). By jurisdiction, the Australian Capital Territory had the highest prevalences of gay men (2.1%; 95% CI: 2.0–2.2) and lesbian women (1.5%; 95% CI: 1.4–1.6). Although the majority of highly populated postcodes were found in major cities (83.7%), some were also found in regional and remote area (16.3%). This method can be applied in other countries to enhance populate estimates. The accompanying dataset can be used to guide service delivery, conduct geographically contextualised research and develop policies relevant to gay men and lesbian women in Australia.     

Scale effects in food environment research: Implications from assessing socioeconomic dimensions of supermarket accessibility in an eight-county region of South Carolina

Choice of neighborhood scale affects associations between environmental attributes and health-related outcomes. This phenomenon, a part of the modifiable areal unit problem, has been described fully in geography but not as it relates to food environment research. Using two administrative-based geographic boundaries (census tracts and block groups), supermarket geographic measures (density, cumulative opportunity and distance to nearest) were created to examine differences by scale and associations between three common U.S. Census–based socioeconomic status (SES) characteristics (median household income, percentage of population living below poverty and percentage of population with at least a high school education) and a summary neighborhood SES z-score in an eight-county region of South Carolina. General linear mixed-models were used. Overall, both supermarket density and cumulative opportunity were higher when using census tract boundaries compared to block groups. In analytic models, higher median household income was significantly associated with lower neighborhood supermarket density and lower cumulative opportunity using either the census tract or block group boundaries, and neighborhood poverty was positively associated with supermarket density and cumulative opportunity. Both median household income and percent high school education were positively associated with distance to nearest supermarket using either boundary definition, whereas neighborhood poverty had an inverse association. Findings from this study support the premise that supermarket measures can differ by choice of geographic scale and can influence associations between measures. Researchers should consider the most appropriate geographic scale carefully when conducting food environment studies.     

Tracing faith-based service landscapes: the contours of messiness at the Open Door Community in Atlanta

A burgeoning geographic literature examines the politics of faith-based organizations (FBOs) in neoliberalized social welfare landscapes. This scholarship on FBOs in the “postsecular city” argues for a “messy middle ground” that explores moments of subversion and resistance, but avoids drawing a clear dividing line between those groups that advance neoliberal agendas and those that resist them. In this paper, I use a case study approach to examine the contours of “messiness” at the Open Door Community, an FBO in Atlanta. The subjectivity of FBO participants is argued as integral to the complex set of perspectives that pre-empt any easy classification of FBO politics. Multiple, conflicting subjectivities and power disparities characterize even FBOs with emancipatory agendas.     

Mortgage Foreclosures,Race, and Postrecession Lending

This article examines the effect of high foreclosure rates on postrecession lending. Our hypothesis is that high neighborhood foreclosure rates will have a significant and positive effect on the likelihood of mortgage loan denial. In a case study on Toledo, Ohio, we explore the role of foreclosure activity, race, and racial disparities in lending practices and how they differ across neighborhoods. Our results suggest that applicants in high-foreclosure neighborhoods have a greater likelihood of loan denial (ceteris paribus). We also find that minority applicants face a higher probability of loan denial in high-foreclosure minority neighborhoods. Overall, the results depict highly variable lending practices where race seems to make a difference albeit in a small subset of neighborhoods deeply affected by the foreclosure crisis. There is also some indication of a chilling effect on minority loan applicants in Toledo during the postrecession period. Key Words: foreclosure, logistic regression, mortgage lending, neighborhood contingency, race discrimination.     

SOCIAL RELATIONS SPATIALLY FIXED: CONSTRUCTION AND MAINTENANCE OF SCHOOL DISTRICTS IN SAN ANTONIO,TEXAS

ABSTRACT. More than 140 court cases filed in the United States between 1970 and 2003 argued that unacceptable and unconstitutional funding disparities exist among school districts in most states. In those arguments, stories, statistics, and maps are used to compare various school districts to prove that conditions are indeed unequal. Both sides—plaintiff and defendant—use such information to disprove each other's contentions. In so doing, each assumes that the political spaces of the school districts are absolute, timeless, and independent. Failure to recognize that these spaces—the school districts—are not objective but, in fact, constitutive of the class and race relations actually being argued and debated in court further legitimates local geographies of privilege and deprivation. I examine the formation of the school districts around San Antonio, Texas to illustrate that these districts are far from independent of one another and were formed to isolate privileged communities from the rest of the city. A relational view of space‐time allows such spaces as school districts to assume a political role, as opposed to the absolute, independent spaces they now represent.     

东南极拉斯曼丘陵斯托尼斯半岛地区化学元素分布特征

通过样品测定，运用统计方法分析了东南极拉斯曼丘陵斯托尼斯半岛岩石、土壤与风化壳、大气降水、湖泊等环境要素的化学元素丰度和特征。该区风化过程和成土过程微弱，地表环境化学元素分布具有较强的区域性特征。初步分析该地区环境中元素迁移转化规律以及低温环境条件下自然地理过程的特征。     

Using Dasymetric Mapping to Identify Communities at Risk from Hazardous Waste Generation in San Antonio,Texas

The primary objective of this study is to examine if minorities, the poor, and non-homeowners have a higher potential for exposure than the general population to large-quantity hazardous waste generation in Bexar County, Texas. Results indicate that this is indeed the case: people living near the generators are more often Black non-Hispanic or Hispanic, and more likely to live below the poverty level and not own their own home. Although previous studies conducted in the United States have used states, counties, zip codes, or census tracts as the unit of spatial analysis, we use dasymetric mapping to create population maps at a resolution of 30 m. This allows for the reconfiguration of the areal aggregations chosen for the analysis while preserving its findings. It also reduces, if not eliminates, the effects of the Modifiable Area Unit Problem (MAUP) on the results.     

Urban Heat and Climate Justice: A Landscape of Thermal Inequity in Pinellas County,Florida

The combined effects of two global trends, urbanization and climate change, have generated considerable concern regarding their adverse and disproportionate impacts on the health of urban populations. This study contributes to climate‐justice research by determining whether elevated levels of urban heat, indicated by land surface temperature (LST), are distributed inequitably with respect to race/ethnicity, age, and socioeconomic status in Pinellas County, Florida. Our study utilizes 2010 MODIS and Landsat medium‐resolution, remotely sensed thermal data, census socio‐demographic information, and both conventional and spatial statistical methods. Results indicate that LST is significantly greater in census tracts characterized by higher percentages of certain racial/ethnic minorities and higher poverty rates, even after controlling for contextual factors and the effects of spatial autocorrelation. This reveals the presence of a landscape of thermal inequity: uneven distribution of heat within the built urban environment and a community structure with varying vulnerability.