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ISPRS Int. J. Geo-Inf. 2019, 8(2), 79; https://doi.org/10.3390/ijgi8020079

The Application of the Hybrid GIS Spatial Multi-Criteria Decision Analysis Best–Worst Methodology for Landslide Susceptibility Mapping

1
Department of Geography, University of Defence, 11000 Belgrade, Serbia
2
Military Geographical Institute, 11000 Belgrade, Serbia
3
Department of Logistics, University of Defence, 11000 Belgrade, Serbia
*
Author to whom correspondence should be addressed.
Received: 14 December 2018 / Revised: 30 January 2019 / Accepted: 11 February 2019 / Published: 12 February 2019
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Abstract

The main goal of this article is to produce a landslide susceptibility map by using the hybrid Geographical Information System (GIS) spatial multi-criteria decision analysis best–worst methodology (MCDA-BWM) in the western part of the Republic of Serbia. Initially, a landslide inventory map was prepared using the National Landslide Database, aerial photographs, and also by carrying out field surveys. A total of 1082 landslide locations were detected. This methodology considers the fifteen conditioning factors that are relevant to landslide susceptibility mapping: the elevation, slope, aspect, distance to the road network, distance to the river, distance to faults, lithology, the Normalized Difference Vegetation Index (NDVI), the Topographic Wetness Index (TWI), the Stream Power Index (SPI), the Sediment Transport Index (STI), annual rainfall, the distance to urban areas, and the land use/cover. The expert evaluation takes into account the nature and severity of the observed criteria, and it was tested by using two scenarios: the different aggregation methods of the BWM. The prediction performances of the generated maps were checked by the receiver operating characteristics (ROCs). The validation results confirmed that the areas under the ROC curve for the weighted linear combination (WLC) and the ordered weighted averaging (OWA) aggregation methods of the MCDA-BWM have a very high accuracy. The results of the landslide susceptibility assessment obtained by applying the proposed best–worst method were the first step in the development of landslide risk management and they are expected to be used by local governments for effective management planning purposes. View Full-Text
Keywords: GIS modeling; landslide susceptibility assessment; best–worst multi-criteria decision-making; expert knowledge GIS modeling; landslide susceptibility assessment; best–worst multi-criteria decision-making; expert knowledge
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Gigović, L.; Drobnjak, S.; Pamučar, D. The Application of the Hybrid GIS Spatial Multi-Criteria Decision Analysis Best–Worst Methodology for Landslide Susceptibility Mapping. ISPRS Int. J. Geo-Inf. 2019, 8, 79.

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