2014
DOI: 10.1016/j.tourman.2013.11.007
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Identifying and mapping forest-based ecotourism areas in West Virginia – Incorporating visitors' preferences

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Cited by 61 publications
(33 citation statements)
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“…The assessment of RTP was aimed not only to quantify this potential in the form of an intensity map, but also to analyze the weakness and strength of each county in terms of each evaluating factor (level 1) and criterion (level 3). In this context, following [24,26,53], thematic maps relating to each evaluation factor were first created by using an open-source desktop GIS, QGIS. Second, to quantify the RTP, an intensity map was created based on Equation (4).…”
Section: Assessing the Potential Of Rural Tourismmentioning
confidence: 99%
“…The assessment of RTP was aimed not only to quantify this potential in the form of an intensity map, but also to analyze the weakness and strength of each county in terms of each evaluating factor (level 1) and criterion (level 3). In this context, following [24,26,53], thematic maps relating to each evaluation factor were first created by using an open-source desktop GIS, QGIS. Second, to quantify the RTP, an intensity map was created based on Equation (4).…”
Section: Assessing the Potential Of Rural Tourismmentioning
confidence: 99%
“…Using West Virginia as their investigated area, Dhami, Deng, Burns, and Pierskalla (2014) transformed the contents of tables into spatial information and then drew the study area as a five-level map of a forest-based ecotourism area. Sheikh and Yahiya (2012) applied an approach similar to the approach of this study to successfully calculate the percentage of vegetation loss in Jazan (located in the far southwestern part of Saudi Arabia) between 1987 and 2002.…”
Section: Coverage Establishment Of the Spatial Changes In The Ecologimentioning
confidence: 99%
“…Multi-criteria decision-making (MCDM) methods, particularly the analytic hierarchy process (AHP), with geographic information systems (GIS) have been one of the most frequently used approaches to addressing various criteria for decision-making on the NBT planning and management (Bukenya, 2012;Fung & Wong, 2007). AHP has been used to estimate weights of various sets of criteria, which are then integrated in GIS to display the location and size of those ranked NBT destinations (Bunruamkaew & Murayam, 2011;Dhami, Deng, Burns, & Pierskalla, 2014;Kumari, Behera, & Tewari, 2010;Ullah & Hafiz, 2013).…”
Section: Introductionmentioning
confidence: 99%