Tourism Potentiality Zone Mapping by Using the AHP Technique: A Study on Bankura District, West Bengal, India

Shrinwantu Raha, Shasanka Kumar Gayen
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Abstract

Tourism is a multidimensional sector having significant contributions to sustainable development, economic upliftment, and social benefits. Although the Bankura is full of tourism potential, but its’ tourism potentiality has not been properly used. This study is designed to identify the tourism potential zones of the Bankura district using a 5-steps integrated methodology, which includes the preparation of the thematic layers (Eight parameters and thirty-four indicators) (Step-1); creation of matrices for pair-wise comparisons (Step-2); classification of the raster maps (Step-3); use of the weighted sum method to get the composite variables (Step-4) and classification of tourism potential map using the natural breaks (Step-5). This study has selected eight parameters, which are the Tourist Intensity Measure (TIM), Climate (C), Physical (P), Social (S), Economy (E), Environmental Quality (EQ), Amenities (AN), and Diversity in Local Art and Crafts (LAC′). Approximately, 23.33% area is identified with a high tourism potentiality, 58.74% area is observed under the moderate tourism potentiality, and 17.92% area is recognized as a low tourism potentiality. Efficiency testing of the tourism potentiality map indicates high precision utilizing the considerably high R-square value (0.94). The study uses an exceptional methodological framework applicable in any region.
基于AHP技术的旅游潜力区映射——以印度西孟加拉邦班库拉区为例
旅游业是一个多方面的部门,对可持续发展、经济提升和社会效益具有重大贡献。虽然班库拉极具旅游潜力,但其旅游潜力并没有得到很好的利用。本研究旨在使用5个步骤的综合方法来确定班库拉地区的旅游潜力区,其中包括准备主题层(8个参数和34个指标)(步骤1);创建用于成对比较的矩阵(步骤2);栅格图的分类(step3);利用加权和法得到复合变量(步骤4),利用自然断裂进行旅游潜力图分类(步骤5)。本研究选择了8个参数,分别是旅游强度测量(TIM)、气候(C)、物理(P)、社会(S)、经济(E)、环境质量(EQ)、便利设施(AN)和当地工艺美术多样性(LAC’)。大致上,23.33%的地区被认定为高旅游潜力区,58.74%的地区被认定为中等旅游潜力区,17.92%的地区被认定为低旅游潜力区。利用较高的r方值(0.94)对旅游潜力图进行效率检验,显示出较高的精度。该研究采用了一种适用于任何地区的特殊方法框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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