Firstly, Landslide Susceptibility Maps of the study area were produced using Frequency Ratio and Modified Information Value models. Nine factors were defined and the Landslide Inventory Map was used to produce these maps. In the Landslide Susceptibility Maps obtained from the Frequency Ratio and Modified Information Value models, the total percentages of high and very high-risk areas were calculated as 10% and 15%, respectively. To determine the accuracy of the produced Landslide Susceptibility Maps, the success and the prediction rates were calculated using the receiver operating curve. The success rates of the Frequency Ratio and Modified Information Value models were 82.1% and 83.4%, respectively, and the prediction rates were 79.7% and 80.9%. In the second part of the study, the risk situations of 125 km of forest roads were examined on the map obtained by combining the Landslide Susceptibility Maps. As a result of these investigations, it was found that 4.28% (5.4 km) of the forest roads are in very high areas and 4.27% (5.3 km) in areas with high landslide risk areas. In the last part of the study, as an alternative to forest roads with high and very high landslide risk, 9 new forest road routes with a total length of 5.77 km were produced by performing costpath analysis in with geographic information systems.
Frequency ratio Modified information value Landslide susceptibility map Forest roads Costpath analysis
Primary Language | English |
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Subjects | Geospatial Information Systems and Geospatial Data Modelling, Cartography and Digital Mapping, Geographical Information Systems (GIS) in Planning |
Journal Section | Articles |
Authors | |
Early Pub Date | July 23, 2024 |
Publication Date | July 28, 2024 |
Published in Issue | Year 2024 Volume: 9 Issue: 2 |