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

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.

Application of interval valued fuzzy-rough numbers in multi-criteria decision making: The IVFRN-MAIRCA model

“…The main question to be answered before making the final decision is the assessment of the reliability of the results obtained when compared with other MCDM techniques. Spearman's Rank correlation coefficient is a useful and important measure for determining the connection between the results obtained by different approaches [27,32,33,11,8]. In addition, it is a suitable coefficient when there are ordinal variables or ranked variables.…”

Multi Criteria Evaluation for Vocational School Zone Based on Geographic Information System

“…However, if the weight is> 0.10, an inconsistent assessment has occurred or the sensitivity value is poor, meaning that the MCDM calculation must be repeated before proceeding to the spatial analysis, (5) Spatial analysis is the aggregation of relative weights that have been produced in the previous stage to produce composite weights as the final score in spatial decision making. The geographic information system method go through stages, namely: (1) creating conceptual model using matrix which presenting linkages between the resulting feature, users and resolution, (2) structuring functional model using matrix which presenting the relationship between resulting feature and graphical information entity, (3) collecting data which is consisting of graphical and attribute data,(4) data categorization based on the type and level of accuracy of the data, (5) digitizing base map refers to the conceptual and functional models, (6) entering attribute data with data structures refers to the conceptual and functional models, (7) operating spatial analysis of several thematic layers with arithmetic operations, namely boundary intersection, union, inverse, area, perimeter, abscissa center, ordinate center, etc, (8) programming to build systems of interaction with users, (9) trials to stakeholders, (10) revision, (11) implementation.…”

“…The adoption of the best-worst method proposed is the first step in the development of landslide risk management and they are expected to be used by local governments for effective management planning to obtain results from landslide vulnerability assessments. [8,9,10,11,12].…”

Development of a Geogenic Radon Hazard Index—Concept, History, Experiences

“…For further resources, see e.g., [105][106][107][108][109] and the Wikipedia entry "Multiple-criteria decision analysis".…”