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Growing Science » Decision Science Letters » A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 7 Issue 1 pp. 87-102 , 2018

A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS Pages 87-102 Right click to download the paper Download PDF

Authors: Moslem Bagheri, Payam Shojaei, Maryam Tayebi Khorami

DOI: 10.5267/j.dsl.2017.4.001

Keywords: Soft infrastructure, Hard infrastructure, Tourism infrastructure, VIKOR, TOPSIS

Abstract: Tourism infrastructure development in different regions of the world does not follow a symmetrically equal pattern. Because of the importance of infrastructure in the tourism development, the present research is an attempt to examine the hard elements of tourism infrastructure in different provinces of Iran, using the indicators proposed by Pearce and Wu (2015) [Pearce, P. L. & Wu, M. Y. (2015). Soft infrastructure at tourism sites: identifying key issues for Asian tourism from case studies. Tourism Recreation Research, 40 (1), 120-132.]. To accomplish this, the data registered in the statistical yearbook of the Statistical Center of Iran were investigated. The method of research was analytical survey. To analyze and rank the data collected from the yearbook, VIKOR and TOPSIS methods were employed. The results of the analysis show that Tehran Province was under the best conditions of the Iranian tourism infrastructure, whereas Ilam Province was under the worst condition. The results about the condition of hard tourism infrastructure in the provinces of Iran, next to their tourism potentials, can provide necessary data for the future planning of the industry.



How to cite this paper
Bagheri, M., Shojaei, P & Khorami, M. (2018). A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS.Decision Science Letters , 7(1), 87-102.

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Journal: Decision Science Letters | Year: 2018 | Volume: 7 | Issue: 1 | Views: 2892 | Reviews: 0

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