# Assessing the impact of human error factors on railway accident severity: Evidence from accident investigation reports in Korea

**Authors:** Changhun Kim, Jun Lee, Qing-Chang Lu, Qing-Chang Lu, Qing-Chang Lu

PMC · DOI: 10.1371/journal.pone.0345753 · PLOS One · 2026-03-27

## TL;DR

This study shows that human error factors like poor management and maintenance significantly increase the severity of railway accidents in Korea.

## Contribution

The study provides empirical evidence linking organizational and technical human error factors to accident severity in railway systems.

## Key findings

- Deficiencies in managerial oversight are linked to higher accident costs.
- Shortcomings in maintenance practices correlate with increased accident severity.
- Equipment and system reliability failures contribute to more severe accidents.

## Abstract

This study investigates the role of human error factors in shaping the severity of railway accidents. Using a structured coding scheme to transform qualitative accident investigation reports into quantitative variables, the analysis reveals that deficiencies in managerial oversight, shortcomings in maintenance practices, and failures in equipment and system reliability are consistently associated with higher accident costs. These findings underscore the organizational and technical dimensions of human error as critical factors linked to accident severity, rather than merely front line worker mistakes. At the modeling level, the explanatory variables collectively account for a meaningful portion of the variation in accident costs, indicating that such outcomes are not purely random but systematically related to underlying human and organizational conditions. By identifying the relative importance of managerial, maintenance, and equipment-related deficiencies, this study provides empirical evidence for prioritizing these factors in railway safety management. The results highlight the need to strengthen organizational accountability, improve maintenance regimes, and ensure the reliability of technical systems as essential strategies for mitigating high-consequence accidents. These insights contribute to a deeper understanding of the organizational and systemic correlates of accident severity and can inform targeted interventions aimed at enhancing overall railway safety.

## Full-text entities

- **Diseases:** Accident (MESH:D000081084), Failures (MESH:D051437), Fatigue (MESH:D005221), deaths (MESH:D003643), NSC Injury (MESH:D014947), Damage (MESH:D020263)
- **Chemicals:** PONE-D-25-51103R1 (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13028362/full.md

## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC13028362/full.md

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Source: https://tomesphere.com/paper/PMC13028362