TY - JOUR ID - 68097 TI - Examining affecting tourism typology on the tourism development in Aras free zone JO - urban tourism JA - JUT LA - en SN - 2423-6926 AU - Shahmari Ardejani, Rafat AU - Kamousi Alamdari, Javad AD - Assistant Professor of Geography and Urban Planning, Azad University, Astara Branch, Astara, Iran AD - Ph.D. Student of Geography and Urban Planning, Azad University of Astara, Astara, Iran Y1 - 2019 PY - 2019 VL - 6 IS - 1 SP - 33 EP - 46 KW - Tourism KW - tourism typology KW - Tourism Development KW - Aras free zone DO - 10.22059/jut.2018.245041.427 N2 - Present study is done with the aim of affecting tourism typology on development of tourism in Aras free zone.  The tourist’s demographic research is on 22 of May to 21 of June.2017   in the Aras free zone that the volume of the sample is obtained with simple random sample method 100 people. To analyze is used the data model at least squares part in software Warp - PLS. Findings indicate that the effectiveness of the independent variables dependent variables tourism typology and tourism development. In the structural model as the coefficients obtained higher show that the variable is considered more influence. In the structural model obtained, recreational tourism has the most affected tourism typology by a factor of the variable impact of the 0.59. After such tourism, historical tourism, natural tourism, trade tourism and city tourism have the most affected, respectively, by an impact factor of 0.49, 0.36, 0.26 and 0.21. Also a minimal impact factor is related to adventure tourism by 0.01. In connection with tourism development variables, most influential variables related to setting opportunities for the private sector to invest, increase the attention of the free zone Aras to invest in the tourism sector in the region and facilities in the field of visas for foreign tourists. Minimal impact factor is r provide strengthening variable for tourism attractions in the vicinity of the Aras free zone with 0.19 impact factor. Impact on tourism typology coefficient against tourism development is 0.29. Also Stone - Geiser test that the model has capacity and predictive power. UR - https://jut.ut.ac.ir/article_68097.html L1 - https://jut.ut.ac.ir/article_68097_febceaf1976e0fad79a9b297fa1f905e.pdf ER -