Identification and Analysis of Effective Obstacles on Retrofitting Rural Housing ( Case Study: Bonab County)

Subject Areas : Regional Planning

arasto yari hesar ¹ (استادیار گروه جغرافیا و برنامه ریزی روستایی دانشگاه محقق اردبیلی، اردبیل، ایران)
farzin haghparast ² (استادیار گروه مهندسی معماری، دانشگاه هنرهای اسلامی تبریز، تبریز، ایران)
Ali Majnoni totankhaneh ³ (مدرس گروه مهندسی معماری، دانشگاه بناب، بناب، ایران)
sogra niromnd shishvan ⁴ (مربی گروه مهندسی معماری، دانشگاه بناب، بناب، ایران)

Received: 2015-06-07 Accepted : 2016-12-16 Published : 2016-11-21

Keywords: Factor Analysis, housing, retrofitting, rural housing, Bonab County,

Abstract :

Iran has always been the site of a variety of natural disasters such as earthquakes because of its geographical position. In fact, the vulnerability of the rural housing is more than urban ones due to low quality of the rural housing. So, it is important to identify barriers of the development and retrofitting of these buildings. But it is noticable that correct knowledge of existance conditions in social, economical, environmental and management dimentions is prerequisite for every planning to dicision making basically relying on this information. The present study aimed to analyze the barriers affecting rural housing in the Bonab county; therefore, retrofitting is done by using “factor analysis”.The exploratory research is descriptive- analysis. It has been selected 35 indexes. The population include 14047 people (living in residential buildings over 20 years old) in 29 villages of Bonab County. Sample size has been estimated 420 people that were selected randomly by using Cochran formula. Required data obtained through distributed questionnaires. Face validity of questionnaire is obtained by consent of professors and administrative experts and reliability coefficient calculated 0.94 using Cronbach's alpha formula. The results of the questionnaires reduced to 4 factors using “factor analysis” technique that economic factors (86/09), management factors (5/46), social factors (2/26) and environmental factors (0/93) had the greatest impact on nonretrofitting of rural housing, respectively. In total, four factors have the ability to explain the 94/75 percent of the varience. Results of the interpreting of the maps and dispresion diagram of the villages indicates that economic barriers is a common factor among all villages. The results from interpretation of village’s maps and scattered diagram show the economic barriers as common factor among all rural villages, social factor in villages near the city center and Environmental management and operating jointly in villages far from the city center are as a main barrieres. Therefore, it is required to prepare and implement retrofit programs with financial support approach to strengthening rural housing in the city.

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