درخت حوزه‌های تخصصی

Purpose - Nowadays due to the variety of hazards and inappropriate location of some villages, the necessity of their displacement and resettlement is sometimes unavoidable. In order to resettle the villages, they should consider a wide range of social, economic, environmental and political issues so that resettled villages can survive. The present study was conducted to investigate the effect of resettlement on the quality of life of the earthquake-stricken villages and explain the factors affecting it in the resettled villages of Varzaghan County. Design/methodology/approach - The research methodology is descriptive and analytical and the required data were collected using the questionnaire instrument. The study population was 7975 people living in 11 resettled villages in Varzeghan County. The sample size was 382 people who were randomly selected. The validity of questionnaire was confirmed by experts and its reliability was also obtained 0.921 using Cronbach Formula. Finding- Results indicate that the quality of life of villages in Likert six-point scale was equal to 3.47, and the highest and lowest levels of satisfaction are related to the areas of infrastructure, employment and income. In addition, the results of the factorial analysis were identified in four dimensions for quality of life. In this regard, the four factors of physical, economy, psychology, and housing clearly explain the 90.95% of the variance of quality of life. The results of T, Tukey, and Scheffe tests also showed a significant difference between the resettlement patterns and the quadruple dimensions of quality of life. Practical implications- With respect to the importance of quality of life in the development and welfare of human societies in resettlement projects, it is necessary to considerate the effects and consequences concerning the quality of life in addition to selecting the optimal rural site in order to improve the residents’ wellbeing while identifying the strengths and weaknesses of these projects.

Purpose - In a good governance pattern with a broad participation of people, increasing self-reliance, pluralism, cooperation between actors, and the transfer of power to local levels can be key to solving the problem of rural development, increasing the quality of settlements and the quality of life of villagers; hence creating sustainable villages. Accordingly, the main purpose of this paper was to investigate the effect of good governance on the increase of the physical quality of rural settlements. Design/methodology/approach- The present study is descriptive-analytic. Questionnaires were used to collect data. After applying the Cochran formula, 192 questionnaires were prepared. The population of this study is 13 villages with local managers in Neyshbur. In order to measure the purpose and analyze data, one-sample T-test, Pearson correlation and structural equation modeling using smart PLS software were used. Finding- The results of the research showed that, based on the T-test, there was not a favorable situation in both good rural governance and physical quality of rural settlements. Based on Pearson's test, it was found that in the seven villages of Khanlogh, Sarachah, Bashnij, Mobarakeh, Bahrodi, Hoseinabad and Mirabad the relationship between good governance and physical quality of rural settlements was significant. The results of the PLS model also indicated that a good rural governance of 62% affects the improvement of the physical quality of rural settlements. Practical implications- Proposals that can be effective in improving good governance practice in order to improve the physical quality of rural settlements include: informing and educating people about the principle of construction in villages, effort-making of local managers to attract the cooperation of relevant organizations to improve the physical quality of rural settlements, creating a suitable field for attracting people's conscious participation in improving their physical condition, creating coordination and interaction between local managers to solve physical problems in the village. Originality/value - This study was innovative because it focused on the impact of good rural governance on the increase of the physical quality of rural settlements. In fact, in this research for each of these two variables, separate indices have been considered and the relationship between them has been evaluated.

Purpose- Today, tourism has become the largest industry in the world with both direct and indirect socio-economic effects. Given the diverse climatic conditions and limited water resources for agriculture in Iran, among various forms of tourism, tourism in desert areas with a multifaceted approach can narrow the gap caused by environmental constraints and play an important role in the development of different areas such as eastern regions of Isfahan province, which have many tourist attractions. In this research, we try to identify and evaluate land suitability for tourism development in counties located in desert areas of Isfahan province. Design/methodology/approach- In this research, the multi-criteria evaluation (MCE) method was used in the GIS environment. Considering the variety of criteria used, before preparing the final map of land suitability, selected criteria were categorized in different groups with regard to topography, climate, land covers and animal species diversity, environment, hazards, socio-economic aspects. Then, land suitability classes in each of the mentioned groups were identified. In the following step, the maps produced in each of these groups were given to the relevant experts to generate the final map of the land suitability according to the current situation, weigh the selected criteria based on the AHP paired comparison, and implement the results of this comparison in the GIS environment through applying weighted linear combination (WLC) method. Findings - The results of multi-criteria evaluation showed that the study area has highly suitable lands in almost all assessment groups, and there were no specific human and natural constraints in this area. The result of the final land suitability map also showed that 21044 square kilometers of the total area (nearly 30 percent) were ranked in the “very suitable” and “suitable” classes, indicating high capacity and capabilities or minimum natural and human constraints for tourism development in the region. Practical implications- Making use of the capabilities of desert areas in eastern regions of Isfahan province and providing the necessary conditions for tourism development with regard to the particular natural and human conditions of this region can offer the best available, affordable, and effective alternatives in the short term to tackle the current problems based on the principles of sustainable development in these areas. The problems include socioeconomic inequalities between developed and underdeveloped regions of Isfahan province, limited water resources for development of agricultural activities, and low ecological capacity of the region for some activities especially in vulnerable communities.

Purpose - Land subsidence is caused by natural factors and human activities around the world. Fars Province, located in the south of Iran, is subject to land subsidence due to the uncontrolled exploitation of groundwater, causing damages to the population and human settlements and also environmental, social and economic areas. Design/methodology/approach - The present research is descriptive in terms of describing land subsidence in the case study region, whereas it is also analytical as time series analysis techniques based on Radar Interferometry (InSAR) is applied to monitor temporal changes in subsidence in Darab and Fasa Plains, including 470 rural points. Using 8 ENVISAT ASAR images spanning between 2005 and 2010, nine Interferograms were processed. In the study area. Geographic Information System (GIS) is then used to study groundwater level decline at the well locations in a 24-year period (from 1991 to 2015). Findings - The results of the research confirm that there is a significant correlation between groundwater water level decline and land surface subsidence. Time series analysis of the processed Interferograms indicate the mean displacement velocity map, demonstrating the maximum subsidence rate of 25 cm/yr. The InSAR analysis reveal within the study area subsidence rate of 25 cm/year in 24 years period and locally exceeding 30 cm/yr in the last decade. This area of significant subsidence is limited in its spatial extent to the agricultural land and is partly influenced by the large-scale over-exploitation of groundwater resources in the region study. The temporal and areal relationships of subsidence and groundwater level data suggest that a significant part of the observed subsidence in the Darab region is caused by intense groundwater extraction which has led to widespread compaction within the upper parts of the up to 300m. Socioeconomic analysis and the subsidence hazard map show that 105523 people are generally at risk of subsidence, of 65068 who are at high risk. In addition, there are 2679 socioeconomic infrastructures such as public service at risk of damage by land subsidence. Research limitations/implications - Limitation in In SAR data access, especially for long-term data was one of the main limitations in land subsidence research and also in this research. Practical implications - Integrated water resource management and the observed extraction of groundwater could influence the subsidence rate in the regions exposed to land subsidence. Originality/value - This research will be important to provide vulnerability in regions with groundwater overexploitation.

Purpose- Return migration acts as a driving force of development and a key incentive of prosperity in rural areas by fulfilling their potentials. Rapid population displacement in developing countries including Iran, reveals the necessity of return migration planning. Semirom is a county in Isfahan province with the highest rate of emigration based on the 2011 Census enjoying sufficient potentials to change this trend. The overall purpose of this study is to analyze the ecosystem capacity of Semirom in order to develop a return migration planning. Design/methodology/approach- The research method is descriptive-analytical. As such, this study can be categorized as an applied research. The environmental, social, economic, and managerial aspects are hereby considered. The questionnaire of Semirom situation assessment was analyzed using inferential statistics (t-test) by SPSS. Content analysis was conducted by interviewing officials using Atlas.ti software. Internal and external factors evaluation matrix and SOAR model were used to offer strategies. In the end, adaptive strategic alternatives are prioritized using the QSPM planning approach and policies for the realization of the return migration. Statistical population consists of the residents and authorities of Semirom county. Findings- The findings indicate that the most important factors affecting return migration are reinforcement of gardening, related industries and tourism attractions, improving the quality of welfare services, fostering the sense of belonging, and the availability of fertile soil and sufficient irrigation water. Accordingly, the strategy of "appropriate management of tourism and environmental spaces for proper utilization of natural resources" should be given priority. It is also suggested that proper utilization of natural resources and tourism along with the potential of eco-tourism can offer a great opportunity for sustainable employment. This requires efficient management of new approaches and providing a secure environment for investment and entrepreneurship. In other words, considering the potentials of tourism will improve the quality of amenities, infrastructure services and employment, which in turn can boost their quality of local life, and their willingness to stay permanently in their rural residence, which ultimately encourages immigrants to return to their homeland.

Purpose- The inefficiency of rural development policy as a multidimensional phenomenon is due to various factors and causes. It has adverse outcomes in rural areas and in different dimensions of the territorial (spatial), organizational and intersectoral activities. Since the present study has practical purposes, the analysis of the effective factors, and analysis of the effects of each factor in the process of inefficiency of rural spatial policies in rural areas are considered. Design/Methodology/Approach - The strategic question is: “What are the factors affecting the ineffectiveness of the planning policy for rural development in Iran?” To answer the question, an analytical methodology based on Delphi tool and interpretive structural modeling have been used. In this regard, a library method (research background) and questionnaires and interviews (experts’ opinions of the National Planning and Budget Organization, and the Provincial Management and Planning Organization- 20 people) were used to collect information. Factors contributing to the inefficiency of planning policy for rural development in Iran were determined. In the next step, using Interpretative Structural Modeling (ISM), the relationships between the factors affecting the ineffectiveness of the planning policy for rural development in Iran were specified and analyzed in a unified manner. Finally, using the MICMAC analysis, the types of variables are clustered according to the reciprocal influence on other variables . Findings- The results show that the factors of over-dependence on oil revenues, unstable rural development policy and centralized policy-making system, planning and decision making with the driving power of 16 have had the greatest influence and acts like the base of the model. In order to start and reform the structure of the rural development policy system in the country, it should be emphasized first. The factor of diversity, plurality, dispersion and underdevelopment of rural settlements with the driving power of 1 has the least influence.