Locating tourist accommodation centers using ANP-VIKOR model (Case study of Rodsar County)

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Article Type:
Case Study (بدون رتبه معتبر)
Abstract:

One of the sustainable development strategies is the development of tourism activities. Determining the tourism values and natural talents of the region along with proper planning can lead to the development of economic revenues through tourism. One of the most important solutions for utilizing natural and human resources and scientific exploitation, without harming the environment, is the optimal location of recreational and residential areas. Rudsar county due to its tourism location, natural and historical attractions are known as one of the most important places of tourism to satisfy these tourists to suit every class and class at any time of the year. Be sure to return to the city and reside in the hotel if the customers are satisfied. This research is a descriptive-analytical one and the method of data collection is library and field study. In this research, we try to locate tourist accommodation centers in Rudsar city using ANP-VIKOR model. The state-of-the-art ANP-VIKOR model is a hierarchical analysis process and a set of criteria used to compare interactions that may exist in the network. In the locating process, using hierarchical analysis, after determining hierarchical levels including purpose, criteria, sub-criteria and options, pairwise comparisons between sets are made for weighting. As well as weighting the collections, the compatibility analysis of the judgments is also performed. The proposed method deals with identifying variables, matrix formation, layer normalization, weighting of criteria and weighting of layers, determination of positive and negative ideal and calculation of hotel accommodation value. The results showed that the most important criterion of hotel location is the altitude and the least weight belongs to the power transfer criterion.

Language:
Persian
Published:
Journal of GIS & RS Application in Planing, Volume:11 Issue: 2, 2020
Pages:
26 to 36
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