جستجوی مقالات مرتبط با کلیدواژه « Rural Settlements » در نشریات گروه « جغرافیا »

The research method in the present research is descriptive-analytical and its type is basic in terms of purpose and documentary and field methods are used to collect information. The statistical population of this research consists of all the rural areas of Jiroft city. According to the statistics provided by Iran Statistics Center in 2015, Jiroft city has a population of 308,858 people and 92,937 households. Of these, 153,153 people with 46,543 households live in urban areas and 155,698 people with 46,392 households live in rural areas of the city. Also, in this research, cluster sampling method (multi-stage) was used. For this purpose, in the first stage, among the 4 districts of Jiroft city, among the 14 villages of this city according to the census of 2015, 11 villages were selected as a cluster sample, and then a number of villages were randomly selected from each cluster, and in total, the desired samples were from The level of 11 villages was collected. According to the 2015 census, this city has 30 villages with more than 1000 inhabitants (Jabalbarz 2 villages, Markazi 21 villages, Ismaili 7 villages).In the following, to investigate the effect of distributive justice and procedural justice on the "infrastructure of the creative village", while confirming the positive and significant correlation of these two variables with Pearson's correlation test, the results of structural equation modeling with the Partial Least Squares (PLS) approach show that The dimension of distributive justice, taking into account the direct and indirect effects, has had a greater impact on the infrastructure of the creative village in the sample settlements with a coefficient of 0.755. In general, according to the coefficient of determination (R2) for the variable of creative village infrastructure (0.969),

Villages that have recreational and leisure functions have many physical effects and cause various effects, including physical changes in these villages. The purpose of this study is to analyze the physical developments of rural settlements in the last decade with emphasis on the role of tourism. The research method in this study is descriptive-analytical that most of the data is based on field studies. The statistical population is 11 villages located in the coastal area of ​​Rasht city. The method of collection was field and library and the method of analysis was descriptive-analytical. The results show that the last decade of tourism in the field of spatial physics has effects and consequences such as the construction of second homes, the consequences of which can be the renovation of rural buildings and improving the body of the village, the use of durable materials in construction, improving facilities and equipment It is the villages that have made their faces different from the past. It has also had other physical effects of changing and destroying agricultural lands, changing land use, and changing the pattern of housing, and so on.

The basics of quality of life covers all the experience of people's lives, and many studies consider the essence of quality of life to meet and simultaneously satisfy the material and spiritual needs of man. The purpose of this paper is to analyze the quality of life with an emphasis on institutional management dimension in the villages of Lahijan. Therefore, using 11 items derived from the tasks of the villages as intermediate elements between the government and the people, their role in the quality of life of the village has been determined. The present study is based on descriptive-analytic method and based on the purpose of the type of applied studies. The statistical population of the study included 182 villages in Lahijan, which 12 villages were studied at three levels of coastal geographical, plain and mountains. The sample size using the Morgan formula has been selected by 385 households as stratified random sampling. To analyze the information, methods in descriptive and inferential statistics include sperman correlation coefficient test and SPSS software. The research results indicate a relatively good condition of quality of life indicators from institutional management dimension in the villages of Lahijan. With the explanation that the villages have been able to achieve in villages that have no management, they acquire relative satisfaction with development work, such as asphalt and naming of the passages and supply cleanliness of the environment, and this satisfaction rate for an organization that is about two decades. The passage is attention.

Return migration is a reaction to the attractiveness of rural areas. This type of migration can have many and varied effects on rural area reconstruction. The purpose of this study was to identify and analyze the effects of return migration on the reconstruction of rural settlements in Neyshabur. The research method is descriptive-analytic and a questionnaire based.  In this study, 37 villages in Neyshabur that had returning migrants were surveyed. And 55 effects of returning migrants on rural areas reconstruction were identified, that the Cronbach's alpha coefficient of 0.942 indicates the optimal reliability of the research instrument. The indices were evaluated under three social dimensions with 18 indices (α = 0.925), economic with 21 indices (α = 0.891) and physical-environmental with 16 indices (α = 0.852). Exploratory factor analysis was used because t-test showed that there isn't significant difference between the three dimensions except social dimension. The results showed that 55 effects identified return migration can be classified as 14 main effects with 78.79% variance.  Accordingly, 1- increasing cohesion and solidarity among residents with 25.21% of variance, 2- improving service and welfare infrastructure with10.52% of variance, 3- boosting rural economy with7% of variance, 4- activating of capacities with 5.4% of variance, 5- developing Non-farming activities with 5% variance are the most important effects of return migration on the reconstruction of rural settlements.

In recent years, with the aim of achieving favorable living conditions and creating equality, justice, reducing poverty and inequality, rural settlements have been exposed to large construction plans and projects with high investment volumes to provide the basis for stabilizing the population in villages. This article examines and evaluates the effects of construction measures carried out in stabilizing the rural population of Ek district. In this regard, the basic question of the research is what is the relationship between the construction measures carried out and the stabilization of the rural population in the study area. The research method is descriptive-analytical in nature and applied in nature. The method of collecting information is library and field methods. The statistical population includes 9 villages of Ek district. Data analysis was done quantitatively using field survey data and census data (1355-1395). Descriptive statistics including mean, median and standard deviation were used for data analysis. Then, using the entropy model, population balance and settlement distribution were measured, and structural equation modeling was used to test the hypothesis. The findings of the entropy model show that in measuring the dispersion and the change in the size of the settlements, the entropy level has decreased from 139.6 in 2015 to 119.7 in 2015. Also, the amount of entropy of distribution and spatial distribution of rural population has increased from 159.9 in 1355 to 148.2 in 1395. The lower the amount of entropy indicates a balanced distribution, therefore, based on the results of the model, the distribution of the settlement system and population at the village level has become more balanced. Also, the results of structural equation modeling show that the effects of construction measures carried out in different dimensions have a significant relationship with the reduction of migration, and the highest correlation coefficient between the two social and economic dimensions is 1.06%.

Estimating and improving the resilience of rural areas is also very important in reducing the effects of natural hazards and achieving sustainable development. Landslides are among the natural hazards that threaten rural settlements and local communities. Therefore, determining the level of resilience of rural settlements in lands prone to landslides can be a suitable way to reduce the effects of this risk in rural areas.

The aim of the current research is to determine the physical resilience of rural settlements in Amlesh city against landslides.

In this research, the level of physical resilience of 145 villages of Amlesh city against landslides was determined and classified by the analysis hierarchy method (AHP). For this purpose, 10 criteria were used in the order of importance of slope, distance from fault, building quality, materials and materials, building life, seismicity, geology, direction of slope, width of passages and height.Studied Areas: The geographical territory of this research is the rural areas of Amlesh County.

The findings showed that the villages of Amlesh city have very low, low, medium, high and very high resilience, so that out of 145 villages in this district, 2, 23, 66, 52 and 1 villages are between very low and very high resilience spectrum were placed. Therefore, 63.18 percent of the villages in this city have moderate to low resilience and 36.82 percent of the villages have high and very high resilience to the risk of landslides. Therefore, 63.18 percent of the villages in this city have moderate to low resilience and 36.82 percent of the villages have high and very high resilience to the risk of landslides.

Examining the level of resilience of villages in the three plains, foothills and mountainous regions proves that medium to low resilience in the villages of the foothills is more than the other two regions and the share of villages with medium resilience in all three regions is higher than the others. Classes are higher resilience. In addition, the villages with very little resilience were located in the foothills and mountainous areas, and the role of altitude in reducing the resilience of villages was revealed.

In the literature and planning of tourism studies and tourism development, creativity and innovation are undoubtedly considered essential factors for development. Isfahan province, as one of the country's tourism hubs and the 7.8% share of this province in the development of digital technology, can play a significant role in development. According to the mentioned introduction, the rural areas of Isfahan province, which have the capacity and capability of tourism, have not used this opportunity as they should, and the residents of these areas have faced many problems, information and communication technologies as an effective component in to introduce, identify, expand and develop tourism in these areas, it can be fruitful. Therefore, the current research seeks to answer the following question: What are the effects of information and communication technology on the creation of creative tourism infrastructures in the studied area?

The current research is applied research in terms of its purpose and causal research in terms of its nature. The statistical population of the research consisted of 3808 heads of households in 19 villages selected for tourism in Isfahan province. Cochran's formula was used to calculate the statistical sample size, and based on this, the sample size was estimated to be 349 households, which were selected by systematic random method from the rural community. Cronbach's alpha method was used in SPSS 22 to comply with the working principles and technique and to measure the reliability in compiling and setting up the questionnaire. The results indicate that the questionnaire has high reliability so the total reliability of the questionnaire is equal to 0.855. Also, while ensuring the normality of the data distribution, the Kolmogorov-Smirnov test was used to measure the data collected from the T-Tech test, and the structural equation model (Smart PLS) was used.

The results of the Pearson correlation test (assuring the normal distribution of the data) show that there is a positive and significant correlation between the dimensions of information and communication technology with the formation of creative tourism infrastructure at a significance level of less than 0.01, so with the increase in the use of information and communication and its dimensions, creative tourism infrastructure has also improved.  To investigate the impact of information and communication technology on creative tourism infrastructure, using the variance-based structural equation modeling approach, the independent and dependent variables of the research were entered into the structural equation model as latent variables and in the form of first-order factor models. All the indicators of the current research have a factor load of more than 0.4 and have high reliability and validity for measuring variables, and there is an acceptable correlation between the indicators. The relationship between indicators is significant and direct; According to the standard coefficients, 27.2% of the changes in the creative tourism infrastructure level are directly predicted by the creative process index. In general, according to the coefficient of determination (R2) for the variable of creative tourism infrastructure (0.967), it was found that the influence of rural information-communication technology on creative tourism infrastructure is strong.

Creative rural tourism can add new parts to the economic, social, cultural, and management dimensions of the village and create new opportunities for the development of the village on a national and transnational scale. In general, according to the coefficient of determination (R2) for the variable of creative tourism infrastructure (0.967), it was determined that the influence of rural information-communication technology (ICT) on creative tourism infrastructure is strong; And 99.7 percent of creative tourism infrastructure changes in the studied area are predicted by the use of rural information-communication technology. The value obtained for the GOF index (0.887), also confirms the very appropriate fit of the structural model of the research.

Livability is a new concept in the sustainable development paradigm that provids the basis to achieve sustainability. The purpose of this study is to analysis the environmental livability of rural settlements in Somehsara County. This research is applied in terms of purpose and descriptive-analytical methodology.The statistical population of the research is 22790 households in the villages of Somehsara County. To achieve the goal, library resources and field studies were used based on the distribution of questionnaires and interviews with 377 heads of households living in sample villages (20 villages selected by stratified random sampling). To analysis environmental livability, four indices of pollution (environmental quality), green space, rural landscape and resilience (19 items) were examined. One-sample T-test analyses were used to prove the significance and generalizability of the research results, regression analysis was used to determine the impact of environmental indices on the livability of rural settlements and path analysis was used to determine the impact of indicators on livability. Using a single sample t-test, it was found that the average environmental dimension is lower than the expected one. The results of regression analysis indicate the high explanation power of the environmental dimension in relation to the changes in the livability of rural settlements in the County of Somehsara. The results of path analysis showed that the amount of direct and indirect effects of the four indices of environmental dimension on livability was equal to 1.628. Rural landscape index has the highest direct and indirect impact on livability (0.732) followed by resilience, green space and pollution indices on livability, respectively.

Border villages are among the most sensitive and strategic parts of the country that have unique and unique characteristics in various economic, social, political, cultural and security aspects. Migration of rural inhabitants of the border will deprive these regions of the productive and protective population of the country and create problems in the destination of migration.

the present study aims to measure the tendency of households to migrate to the border villages of Torbat-Jam city which is more 95% of them are Sunnis.

The research method is descriptive-analytical and it is applied-developmental. Documentation and field data were collected using a questionnaire. The sample size is 214 Sunni households residing in 17 villages 10 km from the Iran-Afghanistan border.

Studied Areas: 

The geographical area of this research is the villages located 10 kilometers from the Iran-Afghanistan border in Torbat-e Jam County of Razavi Khorasan province according to the country divisions of 2015 and before the separation of Saleh Abad County.

The results show that the mean tendency to migrate construct is 1.98 lower than the theoretical average and is low in the Likert spectrum. This is due to the religious dualism of the destination with the source of immigration, which creates a large social cost for the migrant at the destination. Therefore, among the inhabitants of the border villages of the city, migration as a defensive strategy in the face of livelihood challenges and the latest strategy to achieve Minimal living standards.

This study showed that only the existence of some deprivations does not cause migration, because for the Sunni villagers living on the border, cultural reasons (living in birth place and with people of the same religion) cause a low desire to migrate. Since the population in the border villages is considered as a strategic reserve of the country, it is an inevitable necessity to try to solve the livelihood problems, especially considering the low desire of the residents to migrate and the relative stability of the population.

Due to the increase in population and the increase in the interaction between humans and the natural environment, humans are more exposed to the risk of natural disasters. Despite all the progress made in recent decades, the negative effects of natural disasters are still felt, and mankind has not been able to significantly reduce the damage caused by natural hazards. Earthquake is one of the natural hazards that cannot be predicted and causes many damages every year. Iran is considered one of the most earthquake-prone countries in the world and has historically witnessed many severe earthquakes. In this context, the Tehran metropolitan area is one of the areas with a high risk of earthquakes in Iran, which, in addition to the risk of earthquakes due to the high population density, has a high potential for vulnerability to earthquakes. So far, several studies have been conducted in connection with the vulnerability of urban spaces located in the Tehran metropolitan area, but the vulnerability of rural spaces located in the Tehran metropolitan area has not received much attention from researchers. The first step to analyzing natural disasters and assessing vulnerability to hazards is to identify and determine appropriate indicators. Since in the studies carried out so far, the identification of earthquake vulnerability assessment indicators according to the specific characteristics of peri-urban spaces has not been done, the purpose of this study is to compile and validate appropriate indicators for assessing the vulnerability of rural settlements located in the Tehran metropolitan area.

This study is applied research, and it is descriptive-analytical in terms of method. The research approach is a mixed method (qualitative-quantitative). The qualitative part of the research has been done by using a systematic review of research sources and checking the content of similar articles. From this point of view, the indicators for assessing the vulnerability of rural settlements against earthquakes have been identified. After that, the appropriateness of each index was determined using the Delphi method and the opinions of experts. In the quantitative part of the research, using descriptive and inferential statistics such as mean, standard deviation, coefficient of variation, and One-sample t-test, indicators have been refined and validated. The statistical population of this research included all the experts and people specializing in the field of vulnerability to environmental hazards, of whom 40 experts were selected as a sample by using the purposeful sampling method.

In this study, 38 scientific articles related to the research topic have been identified by using a systematic review of sources to identify indicators of vulnerability to earthquakes, and 98 indicators have been identified by examining their content in the first step. This number has reached 41 indicators after performing initial refinement, removing irrelevant items, and merging similar items. These indicators, categorized in the form of three components that make up the concept of vulnerability, include exposure, susceptibility, and resilience. For validation, the indicators have been provided to the experts through the design of a questionnaire. The analysis of the results from the collection of questionnaires reveals that the component of being exposed to risk has three indicators. Each of the three indicators has been considered appropriate by experts in terms of the average, standard deviation, coefficient of variation, t-statistic value, and significance level. The susceptibility component has 17 indicators, two of which are in poor condition in terms of mean, standard deviation, coefficient of variation, t-statistic value, and significance level, and 15 other indicators are in good condition and have been approved by experts. The resilience component has 21 indicators, two of which are in poor condition in terms of mean, standard deviation, coefficient of variation, t-statistic value, and significance level, and 19 other indicators are in good condition and have been approved by experts. Finally, among the identified indicators, 37 of them were approved as suitable indicators for assessing the vulnerability of peri-urban rural settlements against earthquakes.

The findings of the study demonstrate that the values obtained for the indicators of risk exposure are at a more suitable level than the indicators of the other two components, confirming the expert consensus and agreement about the indicators of risk exposure. After that, there are the susceptibility component and the resilience component in terms of the experts' agreement. The results of this research, in terms of scientific application, provide a suitable platform for researchers in the fields of geographic sciences, environmental sciences, social sciences, disaster sciences, and other related specialized fields, each of which in some way studies the concept of vulnerability to earthquake hazards.

Rural and rural-urban linkages are in terms of different flows that give the spatial structure of the regions a known entity. Therefore, in the past few decades, we have seen the attention of planners to the network approach and the basic interaction between different points and topics. Considering the importance of this issue, the aim of the current research is to investigate the relationship between rural settlements and the city of Shaft located in Jirdeh in the central part of Shaft with a network analysis approach. The research method is a descriptive-analytical type, which was carried out by a survey method. The statistical population consisted of 33 villagers, members of the Islamic Council of the villages of Jiredeh and Shaft, and a matrix questionnaire was implemented in order to measure the relationships between them. Also, the theory and model of network analysis using Ucinet software and tests of density, degree, ambidexterity, transferability, E-I, etc. have been used to analyze the data and various graphs have been used to show relationships. The results show that there is little network cohesion and cooperation between the studied villages at the village level. The low level of the density index at the level of the network or two-way shows that there are few relationships and most of the flows are one-way and towards the city of the shaft.

Commercial tourism and its impact on cities and villages manifests itself in various forms, and causes various economic changes in tourist areas.Research

The purpose of this research is to evaluate the impact of commercial tourism indicators on the sustainability of rural settlements in ​​Dehshikh-Sigar business district, Lamerd County.

This study was conducted in a descriptive-analytical method. The population of study included all villagers living in 13 villages of Dehshikh-Sigar business district in Fars province. Using Cochran's formula with an error level of 0.06, 235 households were identified as sample households. SMART PLS, one-sample t-test and linear regression in SPSS were used to analyze the data.

Studied Areas:

 The geographical area of this research is Dehshikh-Sigar Business District in Lamard County.

The findings confirm that the commercial tourism indicator with the value of R (0.959) has the greatest impact on the sustainable development of the rural settlements in Dehsheikh-Sigar business district. Eventually, using the R2 coefficients, we found that the level of development in the study villages, with an emphasis on commercial tourism in the villages of Dolatabad, Hassan Kamkali, Firoozabad, Kakli with the values of R2 (0.992, 0.988, 0.986 and 0.983) has the greatest impact, and has a poor performance in the villages of Dehshikh and Sigar with a R2 coefficients of 0.865 and 0.925.

Commercial tourism has a positive and significant effect on the sustainable development of rural settlements, as according to standard coefficients, 32.5% of the sustainable development of rural settlements in the Dehshikh-Sigar business district is directly predicted by indicators of commercial tourism.

Having an acceptable level of various components of development is the inalienable right of the hardworking rural community. Nevertheless, researches show that there are many shortcomings regarding the rural community's enjoyment of development components. One of the most important components of development is the availability of welfare variables for the rural community. The aim of the present quantitative and applied research is to investigate and spatially analyze how the rural areas of Iran enjoy in terms of welfare variables. The required data has been collected from the Iranian Statistics Center in 2022. For data analysis, a combined method has been used (combination of findings from decision-making models, cluster analysis technique and geographic information system). In terms of welfare indicators, the research results showed that the three provinces of Alborz, Hormozgan and Bushehr, respectively, with a priority coefficient of 0.492, 0.48134 and 0.4813, they are the most privileged and The three provinces of Sistan and Baluchistan, Lorestan and North Khorasan, They are the weakest provinces of Iran with priority coefficients of 0.052, 0.163 and 0.198 respectively. The results of cluster analysis showed, 11 provinces of Iran have been placed at a relatively developed level, 10 provinces at the level of medium development, 9 provinces at deprived level and The Sistan and Baluchistan province is placed at a very disadvantaged level. The results of the spatial analysis of Iran's provinces in terms of the prosperity index in rural areas showed that, most of the border provinces are in unfavorable conditions compared to the central provinces of Iran. The results of the fitted multivariate regression model showed the Income variable, with a determination coefficient of 0.564 and a beta coefficient of 0.751., is a most key factor affecting the level of well-being in rural areas.

Good governance with the most important principles and criteria such as public participation, accountability, responsibility, law-oriented, transparency, efficiency and effectiveness, justice and equality, consensus and legitimacy is one of the new management approaches and the new approach to development and poverty reduction. It is especially in rural areas. In line with the mentioned cases, the present research aims; The study of the role of good rural governance in the physical development of the villages of Khorram Abad city has been compiled. The used descriptive-analytical method is based on documentary and survey sources. The statistical population in this research includes indigenous rural communities, experts and specialists in the field of rural management and development (universities, Islamic councils and villagers). The research findings from the measurement model of "physical development" show that "development of communication and transportation infrastructure" and "increasing the use of new technologies" respectively have the highest and lowest correlations with the variable of physical development in the subject. They have good governance and physical development. Among the indicators of good governance, the components of "responsiveness" and "lawfulness" have the highest and lowest correlations with the variable of good governance in the subject of physical development, respectively. The results of Vicor model show that among the factors affecting the realization of good rural governance, the three components of accountability, participation and responsibility are the most effective indicators on the realization of good rural governance in Khorram Abad city.