Development of a landslide susceptibility assessment for a rail network

Karlo Martinović*, K.G. Gavin, Cormac Reale

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

45 Citations (Scopus)


This paper examines the applicability of a landslide susceptibility assessment approach to engineered slopes using data from the Irish Rail network. A logistical regression model was used to determine the susceptibility of landslide occurrence on an asset by asset basis using input factors derived specifically for man-made earthworks. Records of past failures were used to train the model to predict the probability of future failures occurring. The model was used to analyse a substantial section of the Irish Rail network comprising of 1184 slopes. The database of assets was split into training and validation datasets and similar levels of predictive performance were achieved with both datasets indicating the applicability and robustness of the approach. The results of the study show that simple asset databases, partially populated by visual survey data, can be used effectively to carry out a landslide susceptibility analysis. This enables proactive identification of critical assets as opposed to the current reactive industry standard, which represents an important step forward in creating objective risk rating systems for transport network earthworks.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalEngineering Geology
Publication statusPublished - 19 Dec 2016


  • Engineered slopes
  • Landslide susceptibility
  • Logistic regression
  • Rail
  • Road
  • Shallow slides


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