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Jamshid Einali, Behroz Mohammadi Yeganeh, Mohammad Tayeb Khaledi Nia,
Volume 4, Issue 14 (2-2016)
Abstract

Introduction
In our country, inappropriate physical housing in villages is the result of "bad housing" that can be inferred as one of the most important challenges in rural development. This phenomenon is the result of inappropriate resilient construction, worn-out houses, pollutions because of coexistence of animals and human, sharing the living space with working place; and these issues are caused by inappropriate economic, social and cultural characteristics that govern the rural society of the country and also they are derived from lack of attention to technical obligations, worn-out houses, lack of effective supervision, inadequate infrastructural and economic provision. Therefore, to decrease the bad housing condition in rural districts of the country, some efforts have been started through improvement and renovation of worn-out texture, retrofitting of rural buildings, provision of technical and quality regulations and obligation and issuing ownership documents together with codification of second phase of development plan that provide a good condition for socioeconomic changes in rural districts. These changes have impacts on meeting the needs of the residents and their quality of life, their livelihood changes, and rural housing functions through improvement of physical environment of the rural district. So, this study tries to answer the following questions:
"Dose rural housing improvement lead to changes in housing components and economic functions of the houses in the studied rural district by using house retrofit loans"? And "Do these changes have a meaningful difference among villages of this rural district?”
Methodology
This is a practical study that uses descriptive-analytical methods to determine the issue and its results according to performed field studies (questionnaire, observation and interview). Shamshir rural district is located in Paveh County in the west of Kermanshah province and all the eight villages of this rural district are evaluated in this study. According to general population and housing census (1390) the total number of households in this rural district is 2593 households. 287 households are selected as sample population by using Cochran Formula and questionnaires were distributed randomly. For data analysis different statistical method have been used such as One Sample T-Test (to compare numerical mean), Wilcoxon Test (before and after rural housing improvement) and Kruskal Wallis Test (measuring current differences in the rank of diversification to economic activities in sample villages) and Spearman Correlation Coefficient Test.
Discussion and Conclusion
The results showed that most of new housings, which were constructed by the incentives of government including its credits and supervision, have a substructure of 100 square meters. To overcome the steep slope that governs the village site and to decrease the humidity, new housings are constructed according to a two-storey building design in which the ground flood is inhospitable. Studying the impacts of rural housing improvement and renovation shows widespread differences between two periods which were before and after this process. So, these changes can be mostly considered in housing building plans and maps and extensive modelling of urban housing designs, elimination of some basic elements of old housings and also high availability of facilities and infrastructure services; the basic reasons of these changes include logging bans in forests and pastures, discontinuing traditional way of living based on livestock farming and using forests, improvement of transportation roads and turning them to highways, proximity to Paveh county, and prevalence of unofficial economy and contraband trade. According to respondents' point of view, the results show that all of the studied components have a meaningful difference in periods before and after physical improvement. The most meaningful differences are in rendering services like mechanical service, carwash service, tire mounting and balancing service (-15.002), and employment in non-agricultural activities among men (-14.883) respectively, and the least meaningful differences are reported in such components like households' needs (bread, vegetables, fruit and dairy) (-6.398) and performing economic activities inside the home by women such as handicrafts and carpet weaving (-7.228). Moreover, correlation analysis shows that there is a meaningful relation between rural housing improvement components and components of nonagricultural activities among men (0.812), designing a special place for livestock (-0.603), assigning a part of the house to rendering automobile services (mechanical, carwash, tire mounting and balancing services) (0.600) and performing economic activities inside the home by women (0.324) at a level of 99 percent. In conclusion, the result of classification of changes in economic functions of rural housings in Shamshir rural district does not show a meaningful difference among the studied villages. Therefore, according to the respondents' point of view, the most average ranks in performing the studied economic activities are as follow: non-agriculture employment among men in Shamshir village; assigning a part of the house to services in Dorisan village; performingactivities related to gardening and assigning a place for production and selling the forest's products in Bandare village; and in designing a place for livestock and performing economic activities in home by women in Tazdeh, Bandare and Dorisan villages.

Saeid Maleki, Seyyed Reza Hosseini Kahnoj, Elham Vesi, Pirooz Rahmani Lir,
Volume 5, Issue 15 (5-2016)
Abstract

Introduction
Housing has been one of the most essential needs of human life for a long time and it is one of the most important symbols of civilization and culture. Providing a shelter which is safe and secure is everyone’s ambition and to reach to this aim, human beings have used many different methods and technologies to improve the quality and quantity of housing. Through time passage and change of structure and function and also through meeting new requirements, if physical texture which is a symbol of biological and cultural way of living could not accommodate with time and place conditions of that society, this problem causes lack of development and as a result, leads to physical chaos. These spatial developments in rural environment, problems and the resulted failures in settlement methods and following that effects of urban environments on spatial-physical texture of villages have caused many changes. Therefore, to reach to the optimal condition in spatial dimension, codification of a comprehensive plan in housing sector requires recognition and analysis in vast dimensions and awareness of quantity status of housing indicators in regional planning process. So, reaching to an optimal condition in housing, as a developmental indicator is essential. This study aims to study rural housing indicators throughout the country in different dimensions (infrastructural and facilities dimension, structural strength and health facilities) and tries to determine their spatial levels; after recognizing the differences between regions, this study provide solutions for improvement of effective factors to blur spatial inequalities.
Methodology
This study is a theoretical-practical study and uses a descriptive-analytical method. For data collection, documentary method has been used.
Data includes the results of general census of population and housing in 1390 according to each province separately. 41 variables are studied in this study and they are classified according to four general indicators. Following that, for giving weight to criteria, 20 experts commented and statistical analysis has been done by using factor analysis model and Fuzzy TOPSIS model. 41 variables are classified according to four main indicators including infrastructure and facilities, structural strength, facilities and heath care facilities).
Discussion and Conclusion
In the process of determining spatial level, recognizing and analyzing the facilities, obstacles, it is important to determine the development level of the regions regarding the level of satiation and deprivation. Basically, to reach development, determining spatial level is considered as a fundamental change and its realization is related to coordination between different dimensions. Because the studied issue is very important, this study considers the related indicators using Fuzzy TOPSIS model and factor analysis method; according to the studies and calculations it is proven that rural residents in Iran’s provinces have a type of inequality. In other words, spatial distribution is not equal in all residents; because in rural regions of the following provinces are at the highest level of satiation: Mazandaran (0.460), Isfahan (0.464), Alborz (0.455) and Tehran (0.449); rural regions of the following provinces are at lower level of satiation regarding the rural housing indicators: Sistan and Baluchestan (0.265), South Khorasan (0.267), Hormozgan (0.267) and Kerman (0.270). Therefore, codification of a comprehensive plan for housing, especially rural housing, requires complete recognition and deep analysis in vast dimensions about housing and factors that affect it. It should be said that although these indicators are key elements in determining the quality and quantity of housing and each indicator has a special position in housing planning system, but existence of each indicator is not the necessary condition for improving the quantity level of housing. So in discussing about housing quality, sufficient conditions require that all indicators be together. Generally, the status of housing indicators in some provinces create various social and cultural problems in micro and macro level of the society, so precaution and support are the best strategies in this matter. So, for directing future development in these villages toward a sustainable development and putting the existing problems away, it is necessary to implement effective and practical planning to improve housing status in these residents; and less developed regions should be considered more than more developed ones.


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