A. Permana(1)*, L. Suparma1, S. Malkhamah1
1Magister Sistem dan Teknik Transportasi, Universitas Gadjah Mada, Yogyakarta, INDONESIA*Corresponding author: aidilpermana@mail.ugm.ac.id
A. Permana(1)*, L. Suparma(1), S. Malkhamah(1)
1Magister Sistem dan Teknik Transportasi, Universitas Gadjah Mada, Yogyakarta, INDONESIA
*Corresponding author: aidilpermana@mail.ugm.ac.id
Railway level crossings represent one of the highest-risk interfaces within railway systems due to the interaction between train operations and road users at the same grade. In Indonesia, the high frequency of accidents at level crossings highlights the need for a structured risk assessment approach to support the prioritisation of safety mitigation. This study aims to conduct a systematic risk assessment by estimating likelihood, assessing severity, and computing risk scores to classify hazards into Low, Moderate, High, or Extreme categories. The methodology includes hazard identification based on 2024 accident data, likelihood estimation using annual accident frequency, severity assessment based on a five-level consequence scale, and application of a semiquantitative 5×5 risk matrix. The results indicate that unsafe road-user behaviour dominates the Extreme risk category, while infrastructure and environmental factors are generally classified as High to Moderate risks. This risk classification provides an objective and transparent basis for prioritising safety mitigation at railway level crossings.
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