GIS-Fuzzy DEMATEL MCDA model in the evaluation of the areas for ecotourism development: A case study of “Uzundere”, Erzurum-Turkey

Ecotourism has become an integral part of the tourism sector for raising awareness of environmental protection, reducing the negative effects of tourism while using natural and cultural tourist attractions sustainably. The study primarily aims to determine suitable areas for sustainability approaches in the region regarding ecotourism and develop a comprehensive and reliable model in Uzundere. Various methodological approaches have been applied to develop ecotourism models, but certain deficiencies have emerged regarding spatial differences and criteria weighting. The proposed model applied the Geographic Information Systems and Fuzzy Decision Making Trial and Evaluation Laboratory Combined approaches such as Multi Criteria Decision Analysis approaches. The model was designed under 4 main groups and 16 sub-criteria. The ecotourism suitability map was analyzed through Weighted Linear Combination as highly suitable, suitable, moderately suitable and not suitable areas. Besides offering great opportunities in selecting suitable areas to be designated for ecotourism activities, this modeling provides advantages for accurate decision-making, planning, implementation and also conservation of the natural and socio-cultural environment. This study can facilitate the planning of the sustainable structure for ecotourism and the suitable areas determination in other areas with similar geographical conditions, with its applicable, reproducible and modifiable criteria structure. •This study is a substantial attempt for the planning and sustainability of ecotourism resources at national and regional levels.•The proposed model applied the GIS and Fuzzy DEMATEL approaches such as Multi Criteria Decision Analysis approaches.•The model was designed under 4 main groups and 16 sub-criteria.•The GIS-MCDA analyzes revealed an ecotourism suitability map with 4 different categories for Uzundere district.•The study results will help decision-makers and investors to develop accurate plans for ecotourism development.