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Information Journal Paper

Title

Measurement and ranking of cities in Kermanshah province in terms of tourism infrastructure using the WASPAS model

Pages

  153-166

Abstract

 Prioritizing tourism destinations can be considered as part of the spatial planning process in a region, because the purpose of spatial planning, the recognition of the land and how to exploit these resources, with the prediction of the future state of desirable humanization and its performance in nature In order to provide a reasonable, balanced and desirable economic development on the territory of the country and to prevent the occurrence of imbalances and negative reflections of the land space. In this regard, the present study aims to measure the accessibility of the cities of Kermanshah in terms of Tourism Infrastructure using the modern method. waspas. The statistical population of the study is 30 experts in the province and familiar with the situation. The indicators studied in this study are to form the decision matrix of 10 and its options are 14 provinces of the province. The results of this study show that Kermanshah province with the first rank of 0. 4157 and Islamabad in the west with 0. 3028 points and Sonqor in 0. 2894 with a coefficient of 3rd in terms of Tourism Infrastructure, and the city of Sallath Babajani with coefficient of 0. 139 and Harsin towns with 0. 1706 coefficients are the most deprived cities in terms of Tourism Infrastructure in Kermanshah province.

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    APA: Copy

    SHOHANI, NADER. (2019). Measurement and ranking of cities in Kermanshah province in terms of tourism infrastructure using the WASPAS model. URBAN TOURISM, 6(3 ), 153-166. SID. https://sid.ir/paper/407101/en

    Vancouver: Copy

    SHOHANI NADER. Measurement and ranking of cities in Kermanshah province in terms of tourism infrastructure using the WASPAS model. URBAN TOURISM[Internet]. 2019;6(3 ):153-166. Available from: https://sid.ir/paper/407101/en

    IEEE: Copy

    NADER SHOHANI, “Measurement and ranking of cities in Kermanshah province in terms of tourism infrastructure using the WASPAS model,” URBAN TOURISM, vol. 6, no. 3 , pp. 153–166, 2019, [Online]. Available: https://sid.ir/paper/407101/en

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