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- The purpose of the present study was to investigate the causes and factors affecting the improvement of rural housing quality (case study: Oraman District, Sarvabad County). Design/methodology/approach- The present study is an applied research in terms of purpose and has a descriptive-analytical nature. Also, in terms of data collection method, it is a documentary-survey research. In the present study, the quality of rural housing was assessed to evaluate the effective factors in improving the quality of rural housing using the relevant indicators. The statistical population of the study was the Oraman District with 2468 households. The samples of the study were selected by simple random method, and the sample size of 345 households was obtained using the Cochran sampling formula. Finding- The results showed that the economic, physical, social and management factors (P <0.000) are effective in improving the quality of housing in Oraman villages. Also, according to the rating level of the indices, the physical dimension with the mean rating of (3.91) has the highest effect and the management dimension with the mean rating of (1.00) has the lowest effect. Research limitations/implications- Due to the low cooperation of local people and the cultural, ethnic and political sensitivities in the region, this study encountered numerous limitations and difficulties during the distribution of the questionnaire which challenged the research work. Originality / value- The earthquake happened in Western Iran destroyed many homes and killed many people, emphasizing the importance and quality of housing. Given that there has been no research on housing, especially its quality in this area, therefore, investigating the factors contributing to the improvement of housing quality in the future can reduce many of the human and financial losses.

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 - 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.