Capacity, capability and attractiveness analysis of commercial-residential places on developing urban tourism industry (a case study: Omid commercial-residential complex, Mashhad
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Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

Tourism services and facilities as one of the most basic forms of supply in leisure and recreation industry provide the most income content for the host communities after the transport industry and tourist's movement in interval-international area. Considering the experience in developing domestic and foreign tourism purposes shows that industries emanated in this area that in their tourism product-supply system are equipped with an organized and capable system in terms of tourism facilities and services especially in commercial and residential facilities. Competition for sustainable development of urban tourism according to the tourist's needs in addition to strengthening the participation of private sectors and citizens in meeting these needs, also creating different substrate-planning platforms in this field should be important and planned in tourism executive management. The current study is done according to its functional goal and its nature and descriptive-analytical method. The data collection methods in this study are library and field ones. In this regard, the data were gathered using a questionnaire. For analyzing data, SPSS 18 software, T-test analysis, Pearson correlation test and Regression test were used. The results show that there is .417 percent relation and correlation between the capability and attractiveness of Omid commercial-residential places in Mashhad and its tourism which shows a direct relationship between the two variables. Then, the Regression analysis was used on the impacts of each indicator in this correlation. The test results showed that physical and spatial indicators had the highest impact factor among all the targeted indicators in this study. The other indicators are effective in the study with the Beta 0.219 for profile and activity index, Beta 0.315 for environmental index, Beta 0.116 for cultural-social index and Beta 0.107 for perceptual and cognitive index.

Language:
Persian
Published:
Quarterly of Geography (Regional Planing), Volume:7 Issue: 3, 2017
Pages:
103 to 114
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