The Classification of Tourism Sample Regions (Case Study: Kerman Province)

In recent years, tourism as a new industry has had a significant impact on the economic, social and cultural situation of the world. In this line; many countries have prompted to devote major investment in this section to make income at the local level. Therefore, it is essential to employ appropriate classification methods to determine the best tourism sample regions to develop and allocate resources based on a number of criteria and indicators. The aim of this descriptive-analytic study refers to classify tourism sample regions in Kerman province based on tourism parameters and indexes. This study is a library research and the data were collected from tourism organization, municipality, and the governor of Kerman province. Factor analysis model was applied for data analysis by using SPSS software. The research result indicated that accommodation-cultural infrastructure factor with amount of 17.47 was the most effective factor and fuel supply with amount of 1.41 was the least effective factor among the considered factors for head-level of the sample regions. Also, the results showed that Qaleh Dokhtar with a factor loading 7.46, Joopar with factor loading of 6.92, and Tuba with factor loading of 6.09 in terms of tourism infrastructure are located respectively at the level one to three among the sample regions. Thus, these places are appropriate for investment and civil operations that followed by other regions.