The application of Discriminant analysis in identifying tourism potential areas
الموضوعات :
Javad Mahmoodi Karamjavan
1
(هیات علمی)
الکلمات المفتاحية: Discriminant analysis, Detection indicator, Nomads, Tourism.,
ملخص المقالة :
This study is to identify the potential of tourism in areas that According to weaknesses of usual methods, the Discriminant analysis approach was used for this purpose. A method for combining the independent variables, to create a new variable that can be obtained using different variations. In order to have criteria for comparison, six another tourism regional information, entered in the analysis and differences between study areas examined. The dependent variable of this study is the planar variable of regions, in both tourist attraction areas and areas with tourism potential have been diagnosed. This method shows combines two or more independent variables that best explain the difference between two or more groups. The results showed that 25 variables of 33 study variables have no significant effect in attracting tourists and rate of them in control areas and areas of study were identical. Also, the 53.414 for detection indicator (between 0 to 100) was estimated tourist areas and areas with potential for tourism that is obtained from 8 variables of the notification, Reputation, awareness of people from regional, tourism service availability, quality of access reads, the route map existence, access to water for washing and access to drinking water. As results, four of the five target area has the potential for tourism.
Bauder, M. (2015). Using GPS Supported Speed Analysis to Determine Spatial Visitor Behavior. International Journal of Tourism Research. 17, 4, 337–346: https://www.cabdirect.org/cabdirect/abstract/20153250730
Eftekhari, R. (2010). Tourism's role in rural development. Criticism and analysis of theoretical frameworks. 6, 2, 5-6: http://hsmsp.modares.ac.ir/article_3111_dafdd4251d39e8c7018272b8a9d97307.pdf
Hung, Wei-Tien, Su, Tzu-Hsuan. (2016). Destination Resources, Destination Image, and the Purchase Intention to Specialty Products: A Study of Rural Destinations in Taiwan. Transylvanian Review. XXIV, 11: http://transylvanianreviewjournal.org/index.php/TR/article/view/505
Kazemiyyeh, F., Sadighi, H., & Chizari, M. (2016). Prioritizing villages with tourism attractions in East Azarbaijan province using AHP. Quarterly journal of rural development strategies. 3, 1, 3-3: http://rdsj.torbath.ac.ir/article_13607_d1918417f1ca11237b96aba6e65a9446.pdf
Mansourfar. K. (2009). Advanced statistical methods combined with computer programs. Tehran: Tehran University.
Marija M. Nikolić, Jasmina Arsenijević, Dragica Božić. (2016). Tourist Events as a Factor of Promotion of Agritourism. Transylvanian Review. XXIV, 10: http://transylvanianreviewjournal.org/index.php/TR/article/view/133
Nouri, Gh. & Taghizadeh, Z. (2013). Prioritizing tourism potential areas for investment and regional development in the north-western province of Kermanshah. Quarterly Journal of Tourism Management Studies, Volume VIII, Issue 22, 11-37: http://journals.atu.ac.ir/article_1207_7bbcb26d9fd60a6cad55e61de11c04fd.pdf
Polo Peña, A.I., Chica Olmo, J., Frías Jamilena, D.M. &Rodríguez Molina, M.A. (2015). Market Orientation Adoption among Rural Tourism Enterprises: The Effect of the Location and Characteristics of the Firm. International Journal of Tourism Research. 17, 1, 54–65: http://onlinelibrary.wiley.com/doi/10.1002/jtr.1966/abstract
Taghvai, M. (2011). Tourist villages mapping using GIS and SWOT Model. Case Study: Kaftar lake shore. Journal of Geography and Environmental Planning. 22, 42, 2,: http://www.ensani.ir/storage/Files/20120329165630-5117-44.pdf
