Evidence map›Paper›PMID 41360818›Full record

ArticleScientific data2025

Mapping Climate Extremes and Infrastructure Vulnerability: A New Database for U.S. Railroads.

Benyamin Ghoreishi, Brian M Staes, Chenqiang Liu, Haizhong Wang

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Benyamin GhoreishiSchool of Civil and Construction Engineering, Oregon State University, Corvallis, OR, 97331, USA.
Brian M StaesGlenn Department of Civil Engineering, School of Civil and Environmental Engineering and Earth Sciences (SCEEES), Clemson University, Clemson, SC, 29634, USA.
Chenqiang LiuSchool of Civil and Construction Engineering, Oregon State University, Corvallis, OR, 97331, USA.
Haizhong WangGlenn Department of Civil Engineering, School of Civil and Environmental Engineering and Earth Sciences (SCEEES), Clemson University, Clemson, SC, 29634, USA. haizhow@clemson.edu.

Funding

Department of Transportation | Federal Railroad Administration (FRA) 69A36523420190CRSCA
6 · The paper itself

Abstract

This study presents a new national dataset that assigns historical natural hazard events-flooding, excessive heat, and landslides-to the U.S. railroad network, applying spatial analysis to federal agency data. Existing datasets, such as the Federal Railroad Administration (FRA) accident records, only capture reportable accidents and miss less severe but still disruptive hazard exposures. To address this gap, multiple federal databases were integrated to link extreme natural hazard events to railroad infrastructure, while the FRA accident dataset was used solely for verification as a reference dataset. The verification step showed that up to 50% of hazard-linked accidents occurred on the same date as a recorded hazard event, supporting the spatial-temporal accuracy of the dataset. The resulting dataset provides railroad segment-level assignments of hazard exposure across the continental U.S. from 2000 to 2024. It serves as a baseline for understanding infrastructure vulnerability and is designed for use in academic research, planning, and climate resilience assessments related to transportation infrastructure.

Identifiers

PMID41360818
PMCPMC12686444

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.