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Historical and Contemporary Indicators of Structural Racism and Pedestrian Injury Rates in Chicago: A Spatiotemporal Analysis
Historical and Contemporary Indicators of Structural Racism and Pedestrian Injury Rates in Chicago: A Spatiotemporal Analysis
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103119
- ISBN
- 9798315705352
- DDC
- 614.4
- 서명/저자
- Historical and Contemporary Indicators of Structural Racism and Pedestrian Injury Rates in Chicago: A Spatiotemporal Analysis
- 발행사항
- [Sl] : The University of North Carolina at Chapel Hill, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 129 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-11, Section: A.
- 주기사항
- Advisor: Marshall, Stephen W.
- 학위논문주기
- Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2025.
- 초록/해제
- 요약Transportation injuries and fatalities are a significant public health problem across the United States (U.S.). Black and Brown communities and those residing in low-income areas experience higher rates of adverse outcomes due to motor vehicle crashes, especially as pedestrians, due in part to unsafe roadway infrastructure (e.g., high-speed roads). Research to address these disparities has focused on individual-based risk factors rather than root causes that facilitate unsafe roadway environments.This dissertation applied an equity lens using interdisciplinary research methods to measure the impact of structural racism on transportation safety. Aim 1A characterized two place-based indicators of structural racism in Chicago, Illinois using cross-sectional 1940s historical redlining and longitudinal racial-economic residential segregation from 2000 to 2019 for Non-Hispanic Black and Hispanic populations. Aim 1B examined the spatiotemporal nature of historical and contemporary indicators of structural racism by creating an index combining the intersection of 1940s historical redlining grades and racial-economic segregation from 2000-2019 to define neighborhood trajectories. Data were obtained from the Mapping Inequality Project from the University of Richmond and the U.S. Census at the census tract level to create neighborhood context from 1940s and 2000 to 2019. The spatiotemporal patterns of historical redlining and contemporary racial-economic segregation suggested substantial stability, with many neighborhoods remaining in their historical classification. Neighborhoods with greater impacts of historical housing discrimination had more variability in their neighborhood trajectories from 2000 to 2019.Aim 2 investigated the association between cross-sectional 1940s historical redlining, neighborhood trajectories (Aim 1B), and pedestrian-vehicle crashes. Data from Aim 1 were combined with police-reported crash data at the census tract level. Conditional autoregressive Poisson models were used to estimate incidence rate ratios that quantified the associations of pedestrian crash rates (per 10,000 residential population), historical redlining, and neighborhood trajectories. We observed an association between historical redlining and the rate of pedestrian- crashes and even stronger associations when examining neighborhood trajectories. Stable disadvantage trajectories had a rate of pedestrian crashes twice as high as neighborhoods with Stable Advantage trajectories.Population-level research on historical and contemporary measures of structural racism and their lasting impacts on pedestrian crashes is needed to further transportation research.
- 일반주제명
- Epidemiology
- 일반주제명
- Public health
- 일반주제명
- Transportation
- 키워드
- Road safety
- 기타저자
- The University of North Carolina at Chapel Hill Epidemiology
- 기본자료저록
- Dissertations Abstracts International. 86-11A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798315705352
■035 ▼a(MiAaPQ)AAI31937712
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a614.4
■1001 ▼aTaylor, Nandi Linette.
■24510▼aHistorical and Contemporary Indicators of Structural Racism and Pedestrian Injury Rates in Chicago: A Spatiotemporal Analysis
■260 ▼a[Sl]▼bThe University of North Carolina at Chapel Hill▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a129 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-11, Section: A.
■500 ▼aAdvisor: Marshall, Stephen W.
■5021 ▼aThesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2025.
■520 ▼aTransportation injuries and fatalities are a significant public health problem across the United States (U.S.). Black and Brown communities and those residing in low-income areas experience higher rates of adverse outcomes due to motor vehicle crashes, especially as pedestrians, due in part to unsafe roadway infrastructure (e.g., high-speed roads). Research to address these disparities has focused on individual-based risk factors rather than root causes that facilitate unsafe roadway environments.This dissertation applied an equity lens using interdisciplinary research methods to measure the impact of structural racism on transportation safety. Aim 1A characterized two place-based indicators of structural racism in Chicago, Illinois using cross-sectional 1940s historical redlining and longitudinal racial-economic residential segregation from 2000 to 2019 for Non-Hispanic Black and Hispanic populations. Aim 1B examined the spatiotemporal nature of historical and contemporary indicators of structural racism by creating an index combining the intersection of 1940s historical redlining grades and racial-economic segregation from 2000-2019 to define neighborhood trajectories. Data were obtained from the Mapping Inequality Project from the University of Richmond and the U.S. Census at the census tract level to create neighborhood context from 1940s and 2000 to 2019. The spatiotemporal patterns of historical redlining and contemporary racial-economic segregation suggested substantial stability, with many neighborhoods remaining in their historical classification. Neighborhoods with greater impacts of historical housing discrimination had more variability in their neighborhood trajectories from 2000 to 2019.Aim 2 investigated the association between cross-sectional 1940s historical redlining, neighborhood trajectories (Aim 1B), and pedestrian-vehicle crashes. Data from Aim 1 were combined with police-reported crash data at the census tract level. Conditional autoregressive Poisson models were used to estimate incidence rate ratios that quantified the associations of pedestrian crash rates (per 10,000 residential population), historical redlining, and neighborhood trajectories. We observed an association between historical redlining and the rate of pedestrian- crashes and even stronger associations when examining neighborhood trajectories. Stable disadvantage trajectories had a rate of pedestrian crashes twice as high as neighborhoods with Stable Advantage trajectories.Population-level research on historical and contemporary measures of structural racism and their lasting impacts on pedestrian crashes is needed to further transportation research.
■590 ▼aSchool code: 0153.
■650 4▼aEpidemiology
■650 4▼aPublic health
■650 4▼aTransportation
■653 ▼aPedestrian crashes
■653 ▼aRoad safety
■653 ▼aStructural racism
■653 ▼aTransportation injuries
■653 ▼aPedestrian injury
■690 ▼a0766
■690 ▼a0573
■690 ▼a0709
■71020▼aThe University of North Carolina at Chapel Hill▼bEpidemiology.
■7730 ▼tDissertations Abstracts International▼g86-11A.
■790 ▼a0153
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357027▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
