INTEGRATION OF MULTI-CRITERIA DECISION MAKING METHODS WITH LOGISTIC REGRESSION APPROACH TO ASSESS LANDSLIDE-PRONE AREAS IN ZILBIR-CHAI BASIN

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NIKJOO MOHAMMAD REZA; REZAEI MOGHADAM MOHAMAD HOSEIN; ANDARYANI SOGHRA

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Journal: Geography and Environmental Planning Year:2018 | Volume:28 | Issue:4 (68) Page(s): 33-51

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Title

INTEGRATION OF MULTI-CRITERIA DECISION MAKING METHODS WITH LOGISTIC REGRESSION APPROACH TO ASSESS LANDSLIDE-PRONE AREAS IN ZILBIR-CHAI BASIN

Author(s)

NIKJOO MOHAMMAD REZA | REZAEI MOGHADAM MOHAMAD HOSEIN | ANDARYANI SOGHRA | Issue Writer Certificate

Keywords

ANALYTICAL HIERARCHY PROCESSQ2

ZILBIRCHAYQ1

LANDSLIDEQ2

LOGISTIC REGRESSIONQ1

WEIGHTED LINEAR COMBINATIONQ1

Abstract

Identifying susceptible areas to massive movements, including LANDSLIDEs, through risk modeling with appropriate and efficient models, is one of the basic measures in reducing potential damage and managing risk. The purpose of this study is to combine multi-criteria decision making techniques with LOGISTIC REGRESSION method to investigate LANDSLIDE-prone areas in Zilbir-Chai basin. One of the methods is WEIGHTED LINEAR COMBINATION (WLC) method. In this model, firstly, the variables that are effective in LANDSLIDE occurrences are subdivided into sub-criteria and each specific criterion is given a certain weight. In order to prevent the great role of the experts’ taste, the LANDSLIDEs in the studied area were discarded with the sub-criteria of each variable, and the percentage of LANDSLIDE occurrence in each of them was the criterion of weighting the sub-criteria. This way, Fuzzy standardization was done accordingly. In the WLC model, in addition to weighting the subcategories, the variables themselves are also generally weighted by the ANALYTICAL HIERARCHY PROCESS (AHP) method. In the present study, in addition to conventional weighting, this weight was measured by LOGISTIC REGRESSION (RL) statistical method and weighing criterion were obtained, normalized, and applied directly to the variables in the WLC model. To achieve this purpose, modeling was performed using nine independent parameters. Geological factors, land use type, altitude, slope gradient and aspect, distance from fault, distance from road and distance from drainage network were considered as environmental factors, and rainfall quantity (obtained from precipitation layer) was considered as a trigger factor. According to the results obtained from WLC model based on LOGISTIC REGRESSION weighting, high and very high risk zones constitute about 7.4% of the area with a validation of 0.94, but based on AHP weighting, these zones constitute about 4.7% of the area with a validation of 0.90.

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APA: Copy

NIKJOO, MOHAMMAD REZA, REZAEI MOGHADAM, MOHAMAD HOSEIN, & ANDARYANI, SOGHRA. (2018). INTEGRATION OF MULTI-CRITERIA DECISION MAKING METHODS WITH LOGISTIC REGRESSION APPROACH TO ASSESS LANDSLIDE-PRONE AREAS IN ZILBIR-CHAI BASIN. GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN), 28(4 (68) ), 33-51. SID. https://sid.ir/paper/153159/en

Vancouver: Copy

NIKJOO MOHAMMAD REZA, REZAEI MOGHADAM MOHAMAD HOSEIN, ANDARYANI SOGHRA. INTEGRATION OF MULTI-CRITERIA DECISION MAKING METHODS WITH LOGISTIC REGRESSION APPROACH TO ASSESS LANDSLIDE-PRONE AREAS IN ZILBIR-CHAI BASIN. GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN)[Internet]. 2018;28(4 (68) ):33-51. Available from: https://sid.ir/paper/153159/en

IEEE: Copy

MOHAMMAD REZA NIKJOO, MOHAMAD HOSEIN REZAEI MOGHADAM, and SOGHRA ANDARYANI, “INTEGRATION OF MULTI-CRITERIA DECISION MAKING METHODS WITH LOGISTIC REGRESSION APPROACH TO ASSESS LANDSLIDE-PRONE AREAS IN ZILBIR-CHAI BASIN,” GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN), vol. 28, no. 4 (68) , pp. 33–51, 2018, [Online]. Available: https://sid.ir/paper/153159/en

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