GIS and Remote Sensing application for Ecotourism facility development site suitability analysis: The case of Bale Mountains National Park, Ethiopia
| dc.contributor.advisor | Damene PhD, Shimeles | |
| dc.contributor.author | Abayneh, Muluken | |
| dc.date.accessioned | 2021-02-01T08:05:09Z | |
| dc.date.accessioned | 2023-11-18T08:41:56Z | |
| dc.date.available | 2021-02-01T08:05:09Z | |
| dc.date.available | 2023-11-18T08:41:56Z | |
| dc.date.issued | 2020-11 | |
| dc.description.abstract | There is georeferenced data and information gap in protected areas tourism facility developments site identification so these studies aimed at identify and prioritize suitable sit for ecotourism facility development in Bale Mountains National Park (BMNP), using multi criteria decision making (MCDM) analytical hierarchical process (AHP) and by applying Geographic Information System (GIS) technique. Therefore, Ecotourism facility development suitable sites were identified by seating criteria. For this study, five criteria were identified to evaluate suitability of sites, based on literature review, tourism master plans and regulations and experts’ opinions. The identified criteria were slope, land use/land cover, elevation, distance to river and road, where weights of the criteria were determined using the pair-wise comparison technique of AHP. The site suitability model and suitability maps were generated in ArcMap 10.7.1 using Geo processing model builder and subsequently, the land suitability map of ecotourism was created using GIS spatial analyst weighted overlay tool. The degree of suitability was classified as highly suitable, moderately suitable, marginally suitable and not suitable for ecotourism facility development. In general, the result of the land suitability analysis for ecotourism facility development in this study yielded four suitability classes, ranging from class 1 to 4. Class 1 represent the highly suitable areas which covers 1.6% (35.6 km2 ), Class 2 the moderately suitable areas make up about 26.2% (571.6 km2 ), 3rd class is marginally suitable areas which covers 52.5% (1143.8 km2 ), and not suitable area grouped under class 4 and account for 19.7 % (427.9 km2 ) of the study area. From the analysis, one can learn that geographical information system and multi-criteria decision making framework can be used as a solution for a complicated decisions making in ecotourism development and for proper site selection of land use planning in protected areas including BMNP. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/24915 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Ecotourism, Multi-criteria decision making, analytical hierarchical process, suitability and GIS, RS. | en_US |
| dc.title | GIS and Remote Sensing application for Ecotourism facility development site suitability analysis: The case of Bale Mountains National Park, Ethiopia | en_US |
| dc.type | Thesis | en_US |