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Tourism industry is one of the most important parts of economic development. It can create job either directly or through stimulating other economic sectors. Therefore, it is important for policy makers to determine the best places with good potentials for tourism development. Fars province has been the center of civilization and the origin of the...
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... Some of the foremost and most wellknown monuments that have been registered as historical works in the world are as follows: Takht-e-Jamshid (Jamshid King's Throne), Naqsh-e-Rustam (Rustam's Inscription) and Passargada (Sharbatian & Bagheri 2016). Fars Province is known as the international communication center in terms of situation at geopolitical zone in south Iran and as Iranian socioeconomic communication canal with Persian Gulf littoral states (Bagheri 2018). ...
Future study is an approach that contributes the active directors in tourism field to prepare the ground to import smartening technologies e.g., Internet of Things (IoT) in tourism by long term planning and to help its growth and development. The present study aims to predict and identify the foremost effective factors and prepare Plausible and favorable futures in line with implementation of IoT to smarten tourism destinations at Fars province in Iran. The Fars Province is assumed as one of Iranian tourism poles. Data were collected in this study using methodologies of systematic review of literature, interview and questionnaire. Data were analyzed by the aid of Scenario Wizard and MICMAC software. The MICMAC results showed that 14 key variables played the main role in IoT implementation for smartening of tourism destination at Fars Province. In this study, two strong scenarios in the forward conditions are imagined, among which one scenario of promising and favorable conditions, and another scenario of intermediate and critical conditions are shown.
... The results showed that measures such as written activities, making health stations, and developing sport-cultural centers are at work to enhance tourism in the Fars province. Bagheri et al. (2018) utilized numerical taxonomy to rank the cities with the potential for tourism investment in Fars province. They showed that Shiraz, Marvdasht, Firouzabad, Sepidan, and Kazerun were the best cities for tourism investment. ...
... In terms of climate, these two regions have an average temperature between 20-25 degrees, humidity between 30-40 %, and good rainfall, which are all suitable for absorbing ecotourism. These three regions have medium altitudes, low slopes, and low TRI values, which indicates the accuracy of the model in determining these three regions with high degree of confidence (Bagheri et al., 2018). The area is located in the west of Shiraz, in Sarvestan nearby Nazarabad which are the tourist attractions of the study area. ...
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 north 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.
