جستجوی مقالات مرتبط با کلیدواژه "rural tourism" در نشریات گروه "جغرافیا"

This research was conducted with the aim of investigating the Asian event of Hamedan 2018 and its effect on rural tourism in Hamedan province. The available documents and articles related to the Asian event in Hamedan 2018 were examined using the library method. After collecting qualitative data about the 2018 Hamedan Asian event, these data were qualitatively analyzed in the form of content analysis and its components were extracted. These data were collected and categorized with the help of organizations related to Hamedan Asian Event 2018 (provincial cultural heritage, Hamedan Asian Event 2018 secretariat, governorate, and villages). The research method was content analysis. The tool used in this research was interview and the sampling method was based on sampling up to the theoretical saturation point. The studied villages included Verkaneh, Moradbek Valley, and Abshineh. The findings of this research showed that by analyzing the content of the participants' answers, 6 main categories including regional reconstruction, customs, cultural programs, government role-playing, selling products, and religion and religious rituals were identified in the answers of the participants in the research. Also, in terms of the effects of Hamedan 2018 tourism event, the cultural and economic effects were more prominent than others. The pathology conducted in the said event showed that the environmental pollution and the effects of tourists on the beliefs and views of the hosts are among the significant things. According to the findings of this research, it seems that local and regional events and festivals are an opportunity for cultural and economic development in the target areas. Of course, it is very important to pay attention to the damage and threats of these events.

The main goal of the current research is to investigate and analyze the attitude of local residents towards the sustainable development of rural tourism to identify the opportunities and challenges of this type of tourism, which has been done with the case study of the villages of Alborz province. The research method is mixed, which uses the qualitative method of the research object in the first stage and the quantitative survey method in the second stage. The approach of the present research is sequential exploratory. The data collection tools are semi-structured interviews in the first stage and questionnaires in the second stage. According to the research findings in the qualitative phase, the experts and informants were selected using the purposeful sampling method, and finally, by aggregating 31 interviews, 134 raw propositions were extracted, which were extracted using the three-axis coding method in the form of open codes. They were classified as central and selective. Finally, among 134 raw propositions, 70 open codes, 21 core codes, and six selective codes were obtained. In the quantitative stage, analyzes were performed using SPSS26 and SmartPLS3 soft-ware. According to the quantitative findings of the obtained values, it was found that among the dimensions, the socio-cultural dimension has high values. According to the research results, the sus-tainable development of rural tourism will contribute to the qualitative development, organization, and management of rural tourism and attract investment in the tourism industry.

This research aims to provide guidelines for the sustainable development of rural tourism by using the future study of target villages for tourism in central Iran, which was carried out with a case study of Saryazd, the target village for tourism in the province of Yazd. The current research is applied in terms of purpose and is in the category of descriptive-analytical research. The research's statistical sample comprises ten experts with more than ten years of related experience selected by non-random snowball sampling. Data were collected through media scanning, written and digital sources, interviews, and questionnaires and were analyzed using MAXQDA software and quantitative content analysis techniques. The research method is based on the TAIDA technique, which will be used in future research and scenario development. The research findings showed that the most crucial strategy at the management level is creating a destination management/marketing organization (DMO) and developing a destination management plan (DMP). At the activity level, the training of the local community and their preparation for participation in rural tourism activities by experts and the creation of facilities by the public sector, such as tax exemption incentives for investors to invest in the village and rural tourism. At the task level, changing the water consumption pattern and familiarizing all stakeholders with new methods of water consumption and modern irrigation techniques are suggested guidelines to reach the desired future scenario.

This research aims to qualitatively-quantitatively analyze the relationship between regional advantages and effective factors in rural tourism entrepreneurship.

To explain the effective regional advantages in rural tourism ‎entrepreneurship, firstly, the analyzed indicators were collected using ‎theoretical references from various sources, and a qualitative interview ‎method was used to analyze the effective factors in rural tourism ‎entrepreneurship. Then, the overall results obtained from both steps of the ‎qualitative method were coded for analysis in the quantitative part, ‎using the structural equation model by Smart PLS software, were ‎analyzed.‎

In the variable of effective factors in rural tourism entrepreneurship, in the ‎institutional dimension, the factor of easy access to institutions and ‎cooperatives supporting entrepreneurial activities, and in the social ‎dimension,  the factor of not having stress in difficult situations showed the ‎highest level of influence. In the variable of regional advantages ‎effective in rural tourism entrepreneurship, in the political-legal dimension, ‎the factor of the existence of government incentives for entrepreneurs in ‎line with rural entrepreneurship, and in the infrastructural dimension, the ‎factor of access to the gasoline and fuel distribution point, showed the ‎highest level of influence. ‎

The research results show that the relationship between regional advantages and effective factors in rural tourism entrepreneurship is confirmed with a value of 4.39.

Innovation: 

Based on the background of the studies, efforts were made to fill the research gap. Several unique approaches were made to better understand rural tourism entrepreneurship. However, a mixed method (qualitative-quantitative) was used to select the most suitable model to investigate this relationship by evaluating different points of view. The findings of this study will be useful in future planning.

In today's age, information and communication technology has many effects on the rural tourism industry, which can play a major role in empowering local people, creating job opportunities, reducing unemployment, and preventing excessive migration from rural areas. The purpose of this research is to investigate the impact of information and communication technology on rural tourism. This research is applied in terms of purpose and is based on a descriptive-analytical nature. The statistical population of the research is nine tourism target villages in Bushehr province, with a population of 10733 people. The sample size was estimated to be 371 people based on Cochran's formula. The distribution of the number of samples in the villages is proportional to their population, and the method of distribution of the questionnaires has been random and systematic. In order to analyze the issue, four indicators of information and communication technology were used in the form of 38 items. The face validity of the questionnaire was confirmed based on the opinions of experts, and its reliability was estimated based on Cronbach's alpha of 0.82. The results indicate that the individual effects of information and communication technology with a beta coefficient of 0.590 have the greatest role in explaining rural tourism and explain 0.319 of the total tourism variance. And the index of infrastructural effects with a beta coefficient of 0.198 has the least effect on tourism development and explains only 0.004 of the total variance. The results of the VIKOR technique for leveling villages based on information and communication technology indicators showed that out of the nine studied villages, only the North Island village is in good condition. Other villages are in moderate-to-very poor condition.

The purpose of this study is to conduct strategic planning for the development of tourism in North Khorasan villages based on competitive identity. The required data and information were collected using both library and survey methods. The sample consists of 40 experts familiar with the subject, selected using the snowball method. The Meta-SWOT tool was used to analyze the data and provide a competitive and strategic map. The results show that, in the regional competition map, Khorasan Razavi’s rural tourism, with a score of 5 on the x-axis (economic development), has the highest possible score and is considered the main competitor of North Khorasan’s rural tourism, which has an approximate score of 3.5. On the y-axis, which represents the socio-cultural dimension, the rural tourism of North Khorasan and Razavi are close to each other indicating that Razavi Khorasan and Golestan being the most important competitors in this dimension. On the strategic map, the historical tourism and rural eco-tourism capacity of North Khorasan, along with its bazaars, border crossings, and adjacency to the Razavi Khorasan tourist hub, have the highest strategic compatibility for strategic planning, with scores above 4 on the x-axis.

Ardabil and East Azarbaijan provinces are among the provinces where a significant part of their population and economy are mixed with villages and villagers, and from this point of view, there are many similarities between their historical, socio-cultural, economic and environmental aspects. The rural areas of these provinces, despite their very high natural, economic, social and cultural capabilities, face widespread deprivation, cultural poverty and rural emigration. Meanwhile, the tourism sector has the necessary potential capacities for rural revitalization in the investigated provinces. It is worth pondering that the planning system governing tourism activities in these provinces lacks a specific approach. For this reason, the main problem of the upcoming research is to identify the place of rural tourism in the target villages of tourism in Ardabil and East Azarbaijan provinces in the life cycle of tourism and develop a suitable methodology for planning their development. The present research has been conducted as a comparative study and in a descriptive-analytical method. The area studied in this research includes the villages of Zenuzagh, Kandavan and Ashtabin in East Azarbaijan province and the villages of Gazaj, Alvars and Oonar in Ardabil province. To determine the sample size, Cochran was used first and the size of the sample population is estimated to be 175 households. The method of selecting data from the local community is systematic random and from tourists randomly.According to the results obtained from this model, the studied villages are in different stages of sustainability. The available information shows that the villages of the study area are at the average sustainability level from the point of view of tourism, and the ecosystem welfare index and the human welfare index are also at an average level.

Analyzing tourists' photos' visual content proves to be an effective method for understanding their behaviors and preferences in tourism destinations. This approach can serve as a valuable tool for precision marketing of tourism destinations, including tourist villages. The present study employed a novel methodology by conducting visual analysis of data. The analysis considered the characteristics of the photos, describing the observable appearance of themes and specific features within the collection. Subsequently, the most significant items, their frequency, simultaneity, and categories were identified and the relevant items were coded. For this study, a sample of 548 uploaded photos of Iranian villages on Flickr was selected and analyzed. Through the photo analysis, 21 dominant scenes in villages were identified and further classified into 5 attractions and 9 types of tourism. ArcGIS was employed for spatial analysis to examine differences in tourists' perceptions and behaviors. The study findings revealed that attractions, such as landscapes, infrastructure, and scenes of rural houses had captured the interest of tourists visiting Iranian rural destinations. These attractions were perceived more frequently compared to others. Additionally, among the various types of tourism, rural tourism emerged as the predominant perception among tourists. 

Understanding of competitive advantages, tourist behavior, and local attractions that appeal to tourists is crucial for effective tourism planning and management. In recent times, various types of data have been utilized in destinations to gain insights into tourists' behavioral patterns and develop competitive advantages. One prominent type of data that has gained popularity is tourist-generated photos taken at different destinations and tourist attractions. As visitors explore a destination, they capture photos that reflect their personal interpretation of the natural, social, physical, and cultural attractions they encounter. These photos and videos serve as a valuable source of information about diverse tourist destinations and sharing them on the internet and public virtual platforms allows for the dissemination of beauty, cultural richness, destination value, lifestyle, and specific activities. In the age of the internet, many tourists share their travel photos on social media and online galleries to document and share their experiences with friends and family. The choice of photos for uploading and sharing reflects their personal opinions about the visited destinations, which directly influence other travel and tourism enthusiasts, as a picture is worth a thousand words. In other words, photos or images play a vital role in conveying the image of a tourism destination and nowadays, travel destinations are predominantly promoted through captivating photographs. Therefore, the photos shared by tourists have the potential to disseminate their experiences related to the lifestyle, cultural aspects, activities, livelihood, and natural attractions of local communities.

The objective of this study was to identify tourist categories from various countries and analyze their perceptions and behavioral patterns in rural tourism destinations in Iran. The analysis was conducted through visual content analysis of the photos taken by tourists. All rural areas of Iran with photos published on Flickr by tourists were included in the study. In the past, accessing such images presented methodological challenges. However, in the digital age, many tourists willingly share their photos online and provide geotags, making it relatively easy to access a representative collection of photographs for a specific destination. Building upon the work of Zhang et al. (2019), visual content analysis was employed in this study. The systematic and observational method was utilized to explore how this phenomenon was represented. This method enabled the categorization of observable content into distinct groups. The analysis considered the characteristics of the photos. Initially, the visible themes and specific features of the collection were described followed by the identification of the most significant items, their frequency, simultaneity, and categories. Subsequently, the relevant items were coded. 

In total, 21 distinct scenes were identified from the analysis of the photos. The analysis of photos shared by tourists from different countries revealed variations in their perceptions of rural scenery. European and North American tourists primarily focused on rural houses and landscapes. Asian tourists showed a greater interest in religious buildings and rural houses. Historical sites and rural houses attracted more North American tourists. Similarly, tourists from Oceania expressed a strong interest in historical sites and wildlife. Moreover, the analysis of differences among various continents in terms of the 21 scenes perceived by tourists indicated that most tourists from four continents perceived scenes, such as historical sites, rural houses, traditional attire, and rural lifestyle. These scenes were found to capture the interest of tourists from different continents and cultures. However, scenes depicting cooperation among villagers, music, rivers, and transportation routes were primarily noticed and appreciated by European tourists. The spatial distribution analysis of foreign tourists' trails in rural destinations provided insights into their overall behavioral patterns. According to the ArcGIS output, European tourists had the most extensive trail coverage. Meymand Village in Kerman Province and Abyaneh Village in Isfahan Province were the most observed trails for European tourists. Notably, both villages are UNESCO World Heritage sites in Iran and boast unique and distinctive architectural styles compared to other villages. In terms of trail distribution, North American tourists ranked second with a majority of their trails observed in Abyaneh and Nazarabad villages, both located in Isfahan Province. Asia ranked third in terms of trail distribution after Europe and North America with most trails observed in Chak Chak Village. This village located in Yazd Province holds significant religious importance as one of the holiest places of worship for Zarathustra's followers.

This study aimed to investigate and analyze the perceptions and behavioral patterns of foreign tourists in rural destinations. The findings highlighted the diverse range of tourist attractions in Iranian rural areas, which offered significant tourism opportunities for foreign tourists and served as a competitive advantage for rural destinations. These attractions had a direct impact on tourists' interest and engagement. Considering the varied preferences and perceptions of foreign tourists towards rural destinations, the management organizations responsible for rural tourism can adopt tailored marketing strategies to effectively promote rural tourism destinations. For example, specific rural tourism packages can be designed and marketed to cater to the preferences of tourists from Asian and Oceanian countries, aligning with their perceptions. Furthermore, based on the observed behaviors of tourists, it is evident that greater emphasis should be placed on promoting rural tourist attractions that offer captivating landscapes and historical and ancient sites, as well as social and cultural experiences. These elements are the key factors in attracting and engaging foreign tourists in rural destinations. In conclusion, the findings of this study highlighted the importance of understanding tourists' perceptions and behaviors in rural tourism destinations. By leveraging the diverse attractions and adopting targeted marketing strategies, rural destinations in Iran can enhance their appeal and competitiveness in the global tourism market.

The current research aims to investigate the economic resilience of the touristic villages of Rasht County against the Covid-19 disease. The current research is applied according to its purpose and the study method is descriptive-analytical according to the method and nature of the research. To collect information, library methods, documents, direct observation methods and field methods have been used. And in order to analyze the data, SPSS software, GIS and Mamdani and Dimtel fuzzy models have been used. Based on the data analysis, the economic resilience of touristic villages in Rasht County against the corona disease is very low. And based on the results of Detmel's model; The indicators (job and activity flexibility, having economic and financial support, having economic and financial capability, flexibility against shocks and finally economic innovation and creativity) are placed in the positive half of the diagram of causal factors. which shows the high influence of these indicators and the indicators (psychological flexibility, solution-seeking, low economic vulnerability, adaptability and adaptability, financial management) are placed in the negative half of the chart of disabled factors which shows the high effectiveness of these indicators. Based on this, it was determined that among the cause indicators, in order: economic innovation and creativity, having economic and financial support, having economic and financial capability, job and activity flexibility, having support economic and financial), have the most and the least influence on the longevity of people in the tourism sector. In the following, the results of the spatial analysis of the villages of Rasht County based on their economic resilience against Corona showed that more than half of the studied villages have economic resilience against Corona in the range of (low and high) is low).

The ecosystem of tourism entrepreneurship is a fluid and multidimensional concept, and its recognition requires attention to all aspects. The purpose of this study is to present a behavioral model of the actors of the rural tourism entrepreneurship ecosystem with an approach based on the future research approach. In the first place, the key players of the rural tourism entrepreneurship ecosystem were identified, and then their behavioral patterns were analyzed by expert experts regarding tourism entrepreneurship development strategies. In terms of orientation, the method of this research is of an applied type with a qualitative aspect and a survey strategy. Its statistical population consists of 25 executive and academic elites in Jiroft city. For this purpose, by using the actor analysis technique and the strategic planning simulation tool called MACTOR, the degree of influence of the key players in the field of rural tourism entrepreneurship in Jiroft city on each other and the degree of their influence on each other, as well as the position of each of Actors against goals (actor-actor and actor-goals matrices) were identified. A total of six key actors were identified. The most insistence of actors on strategies such as the exploitation of local human forces due to the existence of suitable capacities in the rural tourism sector and unanswered needs, and the least on clarifying businesses and preventing the destruction of natural resources through allocated credits and incentive and punitive policies (S5) is.

One of the significant issues in rural tourism is the extent of development and establishment of ecolodges as a key and fundamental indicator, as well as the spatial distribution of these accommodations. Therefore, the objective of this study is to identify and analyze the spatial and temporal changes related to the development and establishment of ecolodges across the country of Iran.

Design/methodology/approach: 

This study is applied research conducted within a quantitative research framework. The statistical population consists of ecolodges nationwide, analyzed at both national and provincial levels, as well as in the two time periods of 2002 and 2022. The required data was collected from the Statistical Center of Iran, and data analysis was performed using spatial analysis techniques in the ArcMap software environment.

The findings of this research indicate a significant increase in the number of ecolodges nationwide from 2002 to 2022. Specifically, the number of ecolodges has increased by more than 4.5 times over this period. At the provincial level, only three provinces experienced a decrease in the number of ecolodges, while all other provinces showed an increase. Furthermore, the spatial distribution of ecolodge development reveals that the highest development and density of ecolodges are concentrated in the northern and central regions of the country, whereas the lowest development is observed in the western regions.

The development and establishment of ecolodges across the country have not been evenly distributed and commensurate with the capacities and tourist attractions of each rural region. In some areas, the development of ecolodges has exceeded the capacities of tourist attractions, while in others, this ratio is below the capacities of rural tourist attractions. To achieve a more balanced development of ecolodges nationwide, it is necessary to develop and implement effective guidelines and regulations.

Originality/value: 

Existing studies on ecolodges have primarily been conducted as case studies and at a local spatial scale. The novelty of this research lies in its comprehensive and nationwide examination of the spatial distribution and establishment of ecolodges, a topic that has not been previously addressed. The findings of this study can serve as a valuable guide and roadmap for policymakers and planners.

Environmental quality is one of the essential and influential components in the planning and development of tourism in rural areas, and it plays an influential role in the tourists' satisfaction and, consequently, their loyalty. In terms of tourism planning, this study investigated the environmental quality of rural tourism destinations and explained the most important factors of environmental quality that affect tourists' satisfaction and loyalty. The descriptive-analytical research method was conducted based on the survey and documentary methods. The statistical population of this research, in terms of location, was the tourist villages located in the sub-province of Izeh, and the participants in the survey were the tourists who had visited the nine sample villages. The number of sample tourists based on the Kochran method for the unknown population is 450 people, and 50 people are considered for each town. The required data were collected through documentary methods and fieldwork (questionnaire). Results show that the environmental quality and tourists' satisfaction and loyalty in the studied rural areas are above average. Among the indicators of environmental quality, the index of dynamic quality of the environment has the most significant impact on tourists' satisfaction and loyalty.

Villages with historical and vernacular textures in Mazandaran province can develop tourism in Iran. Thanks to the many attractions (natural and cultural-historical) and the development of the communication network, etc. (as a tourist destination), they are increasingly visited by city dwellers. They welcome a large number of tourists to the province annually. Tourism experience guarantees the possibility of returning tourists. However, the lack of clear and specific criteria for each rural area due to its specific physical-spatial texture sometimes makes developing long-term planning and implementation challenging. Thus, identifying physical-spatial factors and criteria in line with tourism development in vernacular villages is essential. Thus, this study was exploratory and descriptive regarding the data collection method. The study's statistical population included 250 experts who were selected and questioned using a random network. The collected data were analyzed using SPSS software and through exploratory factor analysis, Pearson correlation, and regression analysis. The research results have shown that 97.9 percent of tourism development changes by physical-spatial factors, including physical-environmental quality, spatial organization and permeability, decorative elements and architectural style, comfort and infrastructure facilities, climate adaptation, greenery and natural scenery, cultural and religious centers, comfort Physicality, identity and personality of the place have been explained. Physical-environmental quality, spatial organization, and permeability impact rural tourism development, with impact coefficients of 0.674 and 0.348, respectively.

The present research is applied in terms of purpose, descriptive-analytical in terms of type, and information gathering; it combines documentary (library) and field methods (based on questionnaire distribution, observation, and semi-structured interviews). The research approach is a combination of both quantitative and qualitative approaches. The statistical population includes local people and tourism experts, service owners, and rural development officials of the region. The working method was as follows: firstly, in the qualitative part, to identify the most important obstacles affecting the sustainability of Oraman tourism, semi-structured interviews were conducted with the group of service owners, specialists, and officials, using the snowball sampling method and the theoretical technique. Fundamental analysis was done and in the next stage using inferential statistics tests (one-sample t and path analysis), the identified obstacles in the form of a researcher-made questionnaire and random distribution among 310 heads of households living in the target villages of the tourism in the region, whose number was determined by Cochran's method from the size of the community to 1110 people, and 60 people from tourism service owners, tourists, experts, and regional development officials were approved. The research results summarized the most significant obstacles and challenges for the sustainability of rural tourism in the Oraman region in four dimensions: economic inadequacies, social inadequacies, institutional inadequacies and weaknesses, and physical-environmental inadequacies. and the lack of attention and proper government supervision with /486 was the most effective. in the instability of tourism in the region.

In today's world, security is considered as the most important factor in the formulation of sustainable tourism development strategies, and is directly related to it. In a way, tourism security can lead to the development of the local economy, increase employment and income levels of indigenous communities, especially in rural areas. The purpose of this study; Assessing the impact of religious tourism on the security of rural environments is in the form of three factors of communication, social and environmental security. The unit of analysis in this study is the village and its statistical population consists of two groups of host community (101 people) and experts (24 people). Therefore, it has been done through a researcher-made questionnaire whose validity and reliability have also been confirmed. MABAC and FAHP methods have been used for analysis, weighting and ranking of criteria. The results show that the average score of the impact of religious tourism on local community security at the level of 99% was significant. On the other hand, the security dimension with a weight value of 0.524 and the environmental dimension with a weight value of 0.187 have the highest and lowest importance, respectively. Based on the results of ranking ten villages with high potential for religious tourism, Langar and Hojjatabad villages have the highest and lowest ranks in terms of insecurity, respectively.Keywords: Religious Tourism, Rural Tourism, Tourism Security, MABAC and FAHP Methods.

One of the two-way consequences of global warming and climate change is its effects on water and air pollution, which can affect rural livelihoods or the destruction of rural areas. The current research examines the effect of human presence and his heat-generating devices and activities on the Land Surface Temperature (LST) of the summer residences of Taft city, Yazd province. For this purpose, the images of two comparative periods of April (April 10 with April 2) and summer (Friday with Thursday and Saturday) of Landsat 8 and 9 satellites were used. Then the surface temperature map and hot-spot analysis (G-i-star) of the area were prepared and the changes were evaluated. The results showed that in April period, 64% and in summer period, 60.1% of rural areas experienced an increase in LST. Also, 1.43% to 43.5% of the rural area of the region had experienced an increase in temperature in April and 31.2% to 31.8% in summer. An increase in temperature variance was also observed in these areas, which shows an increase in temperature variation in these areas. The number of hot spots in these areas also increased by 111.4% in April and 48% and 21.1% in summer. The results also showed that 65.1% of rural vegetation in April and 49.8% in summer faced an increase in LST, of which there was a 19% increase in April and 49.9 and 8.6% in summer in temperature variance and 3. 118 percent of April and 9.5 and 0.2 percent of summer in the number of hot spots, the share of areas with vegetation was. According to the results, all the villages had experienced an increase in LST, and the fluctuations of this increase were greater in the villages with less vegetation and less area. The current research can be considered as a warning for the creation of rural thermal islands (like cities) on holidays with many tourists and serious damage to vegetation and rural climate.