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Application of Analytic Hierarchy Process and weighted sum techniques for green tourism potential mapping in the Gangetic West Bengal, India
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Application of Analytic Hierarchy Process and weighted sum techniques for green tourism potential mapping in the Gangetic West Bengal, India
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Journal Article
Application of Analytic Hierarchy Process and weighted sum techniques for green tourism potential mapping in the Gangetic West Bengal, India
2023
Overview
Green tourism is an emerging sustainable approach that needs to be implemented to manage environmental pollution in a particular region. Although the Gangetic West Bengal (GWB) is full of green tourism potential, the green tourism potentiality in this region has not been revealed yet. Therefore, the present research is focused on the delineation of the green tourism potential zone of the GWB using the Analytic Hierarchy Process (AHP) and weighted sum techniques. The whole methodology has been implemented here through a straightforward, concise, and multistep (5-steps) process, which removes the entanglement and intricacy of the traditional AHP technique. At the first step, nine thematic layers are prepared. In the second step, pair-wise comparison matrices are formed following the principle of eigenvector. All thematic layers are reclassified at the third stage, and priorities are assigned to each class. The weighted sum procedure is utilized in the fourth stage to get the green tourism potential map, and the consistency ratio is also checked. Finally, the green tourism potential map is classified into high, moderate, and low categories using natural breaks. About 23.753% area of the GWB is identified as the high green tourism potential zone. The 12.691% area is identified as the low green tourism potential zone, and the rest (63.555% area) are recognized as the moderate green tourism potential zone. Further, the green tourism potential map is validated using the correlation coefficient (R2) determined by the district-wise availability (percentage share) of green tourist spots and the concomitant pixel count (percentage share) of the green tourism potential zone. A high R2 value (R2 ~ 84.5%) is obtained here, and therefore, the green tourism potential map portrayed in this research can be utilized further without hesitation. The methodology used here is generous, logical, unique, and easy to implement in any region.
Publisher
Springer Nature B.V
Subject
