Sakineh Azarakhsh; Jamshid Einali
Volume 3, Issue 8 , August 2022, , Pages 68-83
Abstract
Rural areas are known as cheap tourist destinations for leisure and recreation due to the combination of natural and cultural tourist attractions resulting from geographical features and lifestyles. Rural tourism development is considered by most researchers as a tool for regeneration and socio-economic ...
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Rural areas are known as cheap tourist destinations for leisure and recreation due to the combination of natural and cultural tourist attractions resulting from geographical features and lifestyles. Rural tourism development is considered by most researchers as a tool for regeneration and socio-economic revitalization of rural areas to achieve sustainable development. Increasing the number of incoming tourists to rural areas has led to new needs and demands in rural tourist areas, which provide competitive advantages, play an important role in tourist loyalty, satisfaction and re-support of destinations. The present study aims to investigate the role of transportation in the economic competitiveness of rural tourism destinations. The present study is of applied type and its nature is descriptive-analytical based on data collection using field methods (observation and completion of a questionnaire. At the household analysis level, out of 1312 cases, 297 households were selected as a sample using the Cochran's formula and the questionnaire was completed using systematic sampling method. To analyze the data, statistical tests such as t Single sample, cluster analysis, Pearson correlation and Kruskal-Wallis were used. The results showed that among the three competitiveness indices studied (destination attractions, basic services and tourism areas), the tourist attraction index with the average Numerical 3.98 has the greatest effect. Also, according to the correlation coefficient of 0.837, there is a significant correlation between tourism competitiveness indicators and economic development of tourism target villages at the level of 99 %.In addition, the result of Kruskal test Wallis showed a significant difference between the target villages in terms of competitiveness and economic development There is a significant role for geographical factors such as climate, roughness and diversity of tourist attractions in this difference. An Analysis of Factors Affecting the Economic Sustainability of Rural Tourism Destinations, Case Study: Tourism Target Villages of Kohgiluyeh and Boyer-Ahmad Provinces
Sarve Sharifi; mehdi feyzolahpour; Ramin Kiamehr; Afshin Zohdi; Jamshid Einali
Volume 2, Issue 5 , December 2021, , Pages 83-101
Abstract
Today, geotourism is a new way to explain the earth sciences and identify the natural assets of each region, which in addition to playing an educational-scientific role, leads to the development of tourism in a region. Geopark is an area with well-defined areas and has enough area for the future economic ...
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Today, geotourism is a new way to explain the earth sciences and identify the natural assets of each region, which in addition to playing an educational-scientific role, leads to the development of tourism in a region. Geopark is an area with well-defined areas and has enough area for the future economic development of the area. This area includes several interesting geological phenomena (in various dimensions and without considering the scales) with a combination of scientific features, rarity, or beauty of the phenomenon. Showing the geological history of the area, showing valuable processes in geology and archeology, ecology, history or culturology are also valuable. The purpose of this study is to evaluate a number of geosites in Mahneshan city (Janabad Madabad chimney, Behestan castle, Angoran mine, Aladaglar colored mountains, Belqis mountain, Khandaghloo reservoir, Qara Darreh Angoran chimneys) for the construction of a geopark. The present study is of applied type and is descriptive-analytical in nature. The method of data collection is through a questionnaire and the statistical population of the study is 41 relevant experts. Data analysis was performed both quantitatively and qualitatively using the Comansco model and SPSS software. The results show that Mahneshan city has the necessary capacity and potential for the construction of a geopark and the geosites of Qala-e-Behestan and the chimney of Jan-e-Madabad were ranked first and second with scores of (0.64) and (0.61), respectively. (0/593), Belqis Mountain (0.591), Angoran Mine (0.555), Khandaghloo Lake (0.534), and Qara Dare Angoran Chimneys (0.528) with very close scores, respectively. Are next. The highest average score obtained from the data is related to scientific value and aesthetic value.
Hossein Farahani; Jamshid Einali; Mehri Jahansoozi
Volume 2, Issue 3 , June 2021, , Pages 33-48
Abstract
One of the most important needs of rural development is rural housing. The construction of rural resistant housing and providing appropriate houses for villager has often been important elements of various development programs. Retrofitting means increasing the resistance of a structure (building) against ...
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One of the most important needs of rural development is rural housing. The construction of rural resistant housing and providing appropriate houses for villager has often been important elements of various development programs. Retrofitting means increasing the resistance of a structure (building) against the forces and improving the condition of the texture and internal elements of the housing and includes a set of measures that increase the life and strength of the building with small changes in the structure.This study attempts to investigate the effects of retrofitting the houses on physical quality of rural ancient Ghochan Atigh County. This study seeks to answer this question, what is the relationship between retrofitting the rural houses, and physical stability and the quality of housing area of the study? This study is functional and descriptive-analytical methods are used. Information and required data were collected by means of library and field methods. To analyze the data, quantitative methods were used in the form of descriptive and inferential statistics (One samples T test, Wilcoxon and Pearson). The area under study consists of 46 villages, which 15 villages were selected as sample. The Number of required samples to complete the questionnaire were determined 150 household by using a modified Cochran formula and questionnaires were distributed in the form of quota sampling in the villages of rural area. The results of the study indicate that there is a significant relationship between Retrofitting rural housing and physical stability in the area of the study with a confidence level of 99% at a rate 0.277 and the quality of housing at a rate 0.262, and a significant difference has been observed in the periods before and after retrofitting to improve the quality of housing and physical stability in the study in the area of study.Retrofitting rural housing while increasing the strength and reducing its vulnerability to natural hazards; Improvement of the physical quality in rural areas has been followed in the study area.
Behrooz Mohamadi Yeghaneh; Jamshid Einali; parisa Menbari
Volume 1, Issue 2 , March 2021, , Pages 35-49
Abstract
Housing has long been considered as the most important and main needs of human life and the physical element of space with the nature of livelihood, which is constantly evolving under the influence of various factors that have affected the components of livelihood-oriented housing. Is. . In the present ...
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Housing has long been considered as the most important and main needs of human life and the physical element of space with the nature of livelihood, which is constantly evolving under the influence of various factors that have affected the components of livelihood-oriented housing. Is. . In the present study, the components of livelihood-based housing components and the role of livelihood diversity in livelihood developments have been analyzed. The type of research is applied and descriptive-analytical in nature. Data collection methods were used as library and field (questionnaire), descriptive (mean) and inferential data analysis (Landa Wilkes analysis and diagnostic statistics, logistic regression model). The statistical population of the present study includes all villages of Miracle village in Zanjan province. Using Cochran's formula, 273 families in 5 sample villages were selected. Rural sampling is simple for random household selection. Cronbach's alpha was used to measure the reliability of the indices and its values were 0.76%. The results show that 35.53% of households do not have subsistence housing and 46.64% of subsistence houses do not. Also, in all three dimensions, households with subsistence housing have a higher average (2.76%) than households without subsistence housing with an average (2.24%). Accordingly, the largest difference is the average in the economic dimension. Finally, Landa Wilkes statistics to examine the difference between households with subsistence housing and no housing based on livelihood in terms of dimensions of subsistence diversity show that the diversity of household life is different and the dimensions of income (0.737), employment (726) / 7) and Assets (0.491) play the most important role in cleaning households with subsistence housing and shortage of subsistence-based housing, respectively.
