Utilizing multi-criteria decision to determine the best location for the ecotourism in the east and central of Fars province,Iran |
| |
| Institution: | 1. Department of Geography, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran;2. Department of Range and Watershed Management, College of Agriculture and Natural Resources of Darab, Shiraz University, Iran;3. Department of Geography, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran;1. Key Laboratory of Eco-Environments in the Three Gorges Reservoir Region (Ministry of Education), College of Life Sciences, Southwest University, Chongqing 400715, China;2. Biological Science Research Center, Academy for Advanced Interdisciplinary Studies, Southwest University, Chongqing 400715, China;3. Chongqing Key Laboratory of Karst Environment & School of Geographical Sciences, Southwest University, Chongqing 400715, China;4. HOT Microfluidics GmbH, Goslar 38640, Germany;1. Dpto. de Expresión Gráfica, Centro Universitario de Mérida, Universidad de Extremadura, Calle Santa Teresa de Jornet 38, 06800 Mérida, Spain;2. Dpto. de Expresión Gráfica, Centro Universitario de Plasencia, Universidad de Extremadura, Avenida Virgen del Puerto 2, 10600 Plasencia, Spain;3. Dpto. de Ciencias del Territorio, Universidad de Extremadura, Avenida de la Universidad s/n, 10071 Cáceres, Spain;1. UCD School of Architecture, Planning and Environmental Policy, University College Dublin, Belfield, Dublin 4, Ireland;2. UCD Earth Institute, University College Dublin, Belfield, Dublin 4, Ireland;1. Facultad de Geografía, Universidad Autónoma del Estado de México, Cerro de Coatepec sin número, Ciudad Universitaria, 50110, Toluca, Estado de México, Mexico;2. Instituto Interamericano de Tecnología y Ciencias del Agua, Universidad Autónoma del Estado de México, Cerro de Coatepec sin número, Ciudad Universitaria, 50110, Toluca, Estado de México, Mexico;3. Instituto Mexicano de Tecnología del Agua, Paseo Cuauhnáhuac 8532, Progreso, 62550, Morelos, Mexico;1. CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos da Universidade do Porto, R. Padre Armando Quintas, 4485-661 Vairão, Portugal;2. Departamento de Biologia da Faculdade de Ciências, Universidade do Porto, Rua Campo Alegre, 4169-007 Porto, Portugal;3. Faculté des Sciences et Techniques, Université des Sciences, de Technologie et de Médecine de Nouakchott, Nouakchott, Mauritania;4. Geography Research Unit, University of Oulu, Finland;5. School of Tourism and Hospitality, University of Johannesburg, Johannesburg, South Africa |
| |
| Abstract: | To reduce the negative effects of tourism on the environment, the importance of ecotourism is increasingly considered because this form of tourism helps to protect the environment and sustainable development of an area. So, it is important to determine suitable places for tourism to better manage the study area. The aim of this study is to identify potential ecotourism sites using ordered weight averaging (OWA) and fuzzy quantifier algorithms in the east and central of Fars province, Iran. Required spatial data such as geology, soil, slope land, topographic roughness index (TRI), vegetation, surface water, elevation, protected area, climate, distance to road, and distance to the village were utilized. To prepare ecotourism maps with different confidence levels, eleven ordered weights were applied corresponding to the eleven parameters that were rank-ordered for each parameter after the modified factor weights were applied. Also, the feature selection algorithm (random search and genetic search methods) was used to select the most important parameters to determine the ecotourism map. The results showed that, with decreasing risk (α = 0), almost all of the study area was unsuitable for ecotourism while, with increasing risk (α = 20), all of the study areas were suitable for ecotourism. One of the ecotourism maps prepared with different confidence levels can be suggested based on the different conditions of tourists so that, if the tourist has a limited time, ecotourism maps with a higher degree of confidence levels are recommended and vice versa. This is one of the innovations of the present research. Also, the results of the random search method with the least error show that slope, elevation, climate, distance to river, and distance to road parameters are the most important parameters in preparing the ecotourism map of the region. So, using the results of the research, many economic problems, such as unemployment, will be solved by managers by preparing tourism maps and creating service jobs for tourists. With the OWA method, tourism zoning maps can be controlled by managers in order to provide better services and social and economic justice. |
| |
| Keywords: | Potential ecotourism site Ordered weighted averaging (OWA) Fuzzy quantifier algorithm Feature selection algorithm East and central of Fars province |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
