Title of article :
Potential site selection in ecotourism planning using spatial decision support tool
Author/Authors :
Nisa ، Z. - Allama Iqbal Open University AIOU
Pages :
8
From page :
251
To page :
258
Abstract :
Northern areas of Pakistan have blessed with extremely beautiful natural landscapes, waterfalls, glaciated mountains, biodiversity rich valleys and forests and have extraordinary potential for ecotourism. Study is designed to propose potential sites for ecotourism in Kohistan, which is a least developed but biodiversity rich area of Pakistan. Poor planning and mismanagement of tourism practices have already disturbed the ecosystems of these highlands; there is a need to involve the local community in environmental conservation practices. As ecotourism has the potential to provide various new means of income for local people. Geographic Information System serves as a decision support tool in finding suitable locations for ecotourism by taking multiple factors into account and helps in devising strategy by providing ecotourism potential sites map in return. Same approach has been applied in the study with use of remote sensing and Geographic Information System based hybrid techniques. Thematic layers from classified image are overlaid with slope, elevation, soil, and vegetation density layers. Multiple criteria based decision is made from weighted overlay analysis which has given potential sites map. These potential sites can be appropriate places for trekking, skiing, white water rafting, sailing, mountain resorts, forest reserves and sports related activities. It is expected that implementing ecotourism in Kohistan will bring positive change in their economic life and it will be equally beneficial for tourism industry of Pakistan.
Keywords :
Ecotourism model , Geographic Information System (GIS) , Minimum distance classifier , Vegetation density , Weighted overlay
Journal title :
International Journal of Human Capital in Urban Management (IJHCUM)
Serial Year :
2017
Journal title :
International Journal of Human Capital in Urban Management (IJHCUM)
Record number :
2477459
Link To Document :
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