Evidence map›Paper›PMID 40933450›Full record

ArticleSustainability and climate change2025

Development of the Contamination Distribution Centered Toxics Mobility Vulnerability Index in the Beaumont-Port Arthur Region of Texas.

Zhenhang Cai, Galen Newman, Michael McNair, Jiang Zheng, Jiyeon Shin, Matthew Malecha, Siyu Yu, Michelle Annette Meyer

Abstract read
In one paragraph

Article in Sustainability and climate change, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zhenhang CaiDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, Texas, USA.
Galen NewmanDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, Texas, USA.
Michael McNairDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, Texas, USA.
Jiang ZhengDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, Texas, USA.
Jiyeon ShinDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, Texas, USA.
Matthew MalechaDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, Texas, USA.
Siyu YuDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, Texas, USA.
Michelle Annette MeyerDepartment of Landscape Architecture and Urban Planning, Texas A&M University, College Station, Texas, USA.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Galen Newman · 2019 to 2026
$13.0M
NIEHS NIH HHS P30 ES029067NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

This study advances the Toxics Mobility Inventory (TMI) and the Toxics Mobility Vulnerability Index (TMVI) to develop a new tool to assess the movement of hazardous substances and their implications for vulnerable communities. It emphasizes the need to include contamination distribution variables in such indices to address disproportionate impacts and more accurately reflect vulnerability. The study uses the TMI framework and TMVI methodology in the Beaumont-Port Arthur region of Texas, also integrating contamination distribution considerations into the analysis to develop a new framework and process. The new Contamination Distribution Centered Toxics Mobility Vulnerability Index (CDC-TMVI) consolidates climate change and topography variables into a broader built environment vulnerability category while introducing a contamination sources category. Using ArcGIS Pro and ToxPi tools, the study evaluates 27 geospatial variables across four categories: built environment vulnerability, social vulnerability, health outcomes, and contamination sources. The results indicate significant contributions from contamination and social vulnerability variables, highlighting areas with higher risks of flooding and air pollution. This article advocates for future research and policy efforts to enhance the integration of contamination sources and their spatial distributions into toxics mobility assessments to better protect vulnerable populations. The unique methodology and findings serve as a basis for developing targeted measures and strategic planning to improve environmental health.

Indexed as

contaminationenvironmental exposureenvironmental justicefloodingresiliencespatial analysis

Identifiers

PMID40933450
PMCPMC12419771

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.