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MD EJSCREEN v2.0

Visualizing Overburdening of Environmental Justice Issues Using the Updated Maryland Environmental Justice Screening Tool

Bibliographic Data

ID17814508
AuthorsElizabeth Noelia Williams (University of Maryland, College Park), Daniel Polsky (0000-0001-8403-9612, University of Maryland, College Park), Jan-Michael Archer (0000-0001-7891-955X, University of Maryland, College Park, corresponding author), Angie Rodríguez (University of Maryland, Baltimore County), Ruibo Han (0009-0007-9808-2209, Geospatial Research (United Kingdom)), Kathleen Stewart (0000-0002-4459-4918, University of Maryland, College Park), Sacoby Wilson (0000-0002-0453-8954, University of Maryland, College Park)
Year2022
Volume15
Issue6
Pages385-401
Publication date2022-06-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Justice (JOURNAL)
Journal identifiersISSN: 1937-5174 • E-ISSN: 1939-4071
PublisherMary Ann Liebert, Inc (PUBLISHER • US)
DOI10.1089/env.2020.0055
OpenAlexW4283711374
LanguageEN
Citations received4
References cited3

Geographic information system tools analyze the environmental hazards and injustice throughout the United States. This article highlights the updated Maryland Environmental Justice Screening Tool (MD EJSCREEN v2.0), a state-specific resource for visualizing local environmental justice and health disparities in Maryland. Four new functions for screening and visualizing environmental justice indicators are described and demonstrated: the Select Feature and EJScreenChart, Side-by-Side Mapper, Report Tool, and Base Map Selector. The article identifies and compares census tracts in Maryland with highest and lowest Maryland Environmental Justice Scores (MD EJScores): Johnston Square, Baltimore, Maryland, and Churchville, Maryland, respectively. This article also characterizes the spread of MD EJScores across Maryland's 1384 census tracts. The case study results indicate that, while the median MD EJScore across the state is 0.30, several of Maryland's communities of color and low-wealth communities are disproportionately and highly impacted by high exposure to air pollution, close proximity to hazardous facilities, and high rates poor health outcomes—especially in the 90th percentile of MD EJScores, which can be as much as three times the statewide median. The tool can be used by local policymakers, regulators, and community leaders in a decision-support capacity to inform strategies for reducing environmental injustice

Census · Economic Justice · Environmental health · Environmental justice · Environmental planning · Environmental resource management · Geography · Injustice · Political science · Population · Environmental Justice and Health Disparities · Environmental Science · Law · Medicine · Risk Perception and Management

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    Open Access•Khanh Do, Yang Zhang et al.•Environmental Research Letters•2025

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  • Method

    Open Access•Michael R Greenberg, Dona Schneider•Environmental Justice•2024

  • Advancing environmental justice technologies & technospaces

    Open Access•Marynia A Kolak, Jack Lia et al.•Wellbeing Space and Society•2026

  • HGBEnviroScreen

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  • Critical energy justice in US natural gas infrastructuring

    Open Access•Mary Finley‐brook, Travis L Williams et al.•Energy Research & Social Science•2018

  • Addressing Externalities From Swine Production to Reduce Public Health and Environmental Impacts

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Unique citing works4
Citations per year1,33
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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