Document Type : scientific-research article
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Abstract
The establishment and development of industrial and free- trade zones have ever brought about a number of economic, commercial, and industrial benefits. The development of South Pars Special Economic Energy Zone in the last decade, and following the policy of increasing efficiency in the common area with Qatar, other aspects of economic development in Kangan Township have received little attention. Based on the priorities of clean development mechanism (CDM) and sustainable, comprehensive and strategic planning for a variety of activities, the ecological approach to tourism development is essential in the region. In this paper, using the method of analysis of speech recognition, library studies, review field analytical techniques (SWOT) and network analysis (ANP), through evaluating the geographic potentialities of the area in the field of tourism, we have described feasibility and prioritization of tourism development in Kangan Township. The area’s tourism analysis results in economic, socio - cultural, ecological techniques in Swat (WT), (WO), (SO) and (ST) performed the final show of strength with a total weight of 25 / 1 and internal factors (S / W), with a rated weight of 11/2. Based on the results (SWOT), Strategies of Defense (Mini-Min), aggressive (peak - peak), ST (Maxi-Min), and adaptive (minimum - maximum) were presented. Then, according to the characteristics and properties of ANP, regional tourism data, classified information and the conceptual model of ANP were prepared. ANP model is based on the priorities - Kangan township tourism package includes 3 spikes (measure / group) and 11 options (the Group) were generated using the Super Decisions software. The data showed that the highest priority in terms of the types of tourism belongs to historical and cultural tourism (normalized score of 0.474), and coastal tourism (normalized score of 0.236). The highest priorities of tourist sites (clusters) belong to the ancient city of Siraf (normalized score of 0.486), mangrove (normalized score of 0.283), and the South Pars / tourism industries (normalized score of 0.147), respectively.
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