A transnational statistical approach on quantifying root causes of railway squats and predicting squat risk

Squats on rails are a major contributor to maintenance costs in modern railway systems, yet their root causes and varying prevalence between networks are not fully understood. This study presents a harmonised statistical framework that enables international comparison of railway systems and quantifies squat risk and its influencing factors using a Cox proportional hazards model. The methodology is applied to data from the DACH region (Germany, Austria, Switzerland), considering parameters from railway operation, infrastructure management and track monitoring. Results show that the combination of low freight shares, low daily loads and hard rail grades in straight track most significantly increases squat risk. Predicted squat probabilities differ systematically between networks, with OEBB showing the lowest and SBB the highest values. The proposed model enables squat risk estimation based on five widely available input parameters and provides insights to support the optimisation of maintenance efforts and long-term system design.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
Published
2026-08-17
DOI
https://doi.org/10.1177/09544097261474761
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
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article

A transnational statistical approach on quantifying root causes of railway squats and predicting squat risk

Josef Fuchs, Bernd Luber, Nikolaus Haselgruber, Matthias Moser
Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
Railway Engineering and Dynamics
article

A transnational statistical approach on quantifying root causes of railway squats and predicting squat risk

Josef Fuchs, Bernd Luber, Nikolaus Haselgruber, Matthias Moser
article en

Abstract

Squats on rails are a major contributor to maintenance costs in modern railway systems, yet their root causes and varying prevalence between networks are not fully understood. This study presents a harmonised statistical framework that enables international comparison of railway systems and quantifies squat risk and its influencing factors using a Cox proportional hazards model. The methodology is applied to data from the DACH region (Germany, Austria, Switzerland), considering parameters from railway operation, infrastructure management and track monitoring. Results show that the combination of low freight shares, low daily loads and hard rail grades in straight track most significantly increases squat risk. Predicted squat probabilities differ systematically between networks, with OEBB showing the lowest and SBB the highest values. The proposed model enables squat risk estimation based on five widely available input parameters and provides insights to support the optimisation of maintenance efforts and long-term system design.

Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit
Virtual Vehicle Research GmbH (Austria) (AT), BH Consulting (Ireland) (IE)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Railway Engineering and Dynamics
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A transnational statistical approach on quantifying root causes of railway squats and predicting squat risk — Josef Fuchs, Bernd Luber, et al. · Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit (2026) | TGRS Research Map | TGRS