تبیین عوامل موثر بر ارتقای وضعیت کیفی مسکن شهری، مورد پژوهی: محله اتابک منطقه 15 شهر تهران (مقاله علمی وزارت علوم)
درجه علمی: نشریه علمی (وزارت علوم)
آرشیو
چکیده
پژوهش حاضر باهدف بررسی عوامل موثر بر ارتقای وضعیت کیفی مسکن شهری انجام گرفت. این پژوهش ازنظر هدف کاربردی و از منظر روش توصیفی-تحلیلی است. جامعه آماری پژوهش، ساکنان 8 مجتمع مسکونی محله اتابک منطقه 15 شهر تهران بودند. بر اساس فرمول کوکران تعداد 384 پرسشنامه در بین ساکنان توزیع شد. نهایتاً تعداد 380 پرسشنامه کامل و بدون خطا جمع آوری گردید. ابزار گرداوری داده ها پرسشنامه بود که روایی آن به صورت روایی صوری و ظاهری و همچنین روایی واگرا و پایایی پرسشنامه با استفاده از آلفای کرونباخ و پایایی ترکیبی بررسی و تائید شد. تجزیه وتحلیل داده ها و اطلاعات با استفاده نرم افزارهای spss و pls انجام پذیرفت. یافته های حاصل از این پژوهش گویای آن بود که کیفیت کالبدی با ضریب مسیر 368/0، متغیر دسترسی به خدمات شهری با ضریب مسیر 339/0، متغیر شرایط اجتماعی مسکن با ضریب مسیر 169/0 و کیفیت زیست محیطی با ضریب مسیر 302/0 بر کیفیت مسکن تأثیر مثبت و معناداری دارد. با توجه به ضریب مسیر به دست آمده برای متغیرهای پژوهش مقدار تأثیر آن ها بر کیفیت مسکن در حد متوسط ارزیابی می گردد. از بین عوامل شناسایی شده عامل کیفیت کالبدی با ضریب مسیر 368/0 دارای بیشترین تأثیر و عامل دسترسی به خدمات شهری با ضریب مسیر 339/0 در رتبه دوم قرارگرفته است همچنین این عامل بر عامل کیفیت کالبدی مسکن دارای تأثیر مثبت و معناداری استExplanation of Factors Affecting the Improvement of the Quality of Urban Housing Case Study: Atabak Neighborhood, District 15 of Tehran
The present study was conducted to investigate the factors affecting improving the quality of urban housing. This research is applied in terms of purpose and in terms of descriptive-analytical method. The statistical population of the research was the residents of 8 residential complexes of Atabak neighborhood in District 15 of Tehran. Based on Cochran's formula, 384 questionnaires were distributed among residents. Finally, 380 complete and error-free questionnaires were collected. The data collection tool was a questionnaire, the validity of which was verified in the form of face and face validity, as well as divergent validity and reliability of the questionnaire using Cronbach's alpha and composite reliability. Analysis of data and information was done using SPSS and PLS software. The findings of this research showed physical quality with a path coefficient of 0.368, the variable of access to urban services with a path coefficient of 0.339, the variable of housing social conditions with a path coefficient of 0.169, and environmental quality with a path coefficient of 0.302 has a positive and significant impact on housing quality. According to the path coefficient obtained for the research variables, the amount of their impact on housing quality is evaluated as average. Among the identified factors, the factor of physical quality with a path coefficient of 0.368 has the most significant impact, and the factor of access to urban services with a path coefficient of 0.339 is ranked second. Also, this factor has a positive and significant effect on the physical quality factor of housing.Extended IntroductionAtabak neighborhood is one of the neighborhoods of District 15 of Tehran. In this neighborhood, physical changes have been made according to the interventions of the Tehran municipality in line with the implementation of the urban landscape plan and organized (inflow of private sector capital) in different years so far. Along with these interventions, the inadequacy of infrastructure and services to meet the population's needs has become this neighborhood's basic problem. Attention to its qualitative aspect needs to be addressed. This matter is important from the point of view of providing the city's basic needs, equitable distribution of facilities and resources, reducing urban inequalities, improving economic-social indicators, preventing unbridled and unplanned expansion, and ultimately improving the quality of life of the people. It demands that the quality of housing and the factors affecting it be evaluated and that a double effort be made to improve it, and it can provide a suitable context for providing suitable models of housing quality for citizens. Considering the mentioned cases, this research aims to answer the question:- What are the effective factors in improving the quality of housing? MethodologyThe current research is descriptive-analytical. In terms of purpose, it is in the category of applied research. Two library and field methods have collected the information needed for this research. In the field method, primary data collection has been done according to the research questions by designing a 5-scale Likert scale questionnaire. The statistical population of the study was the residents of Mobaat, Minabi, Atabek, Shahrak Sajjadieh, Yas, Zahid Gilani, Shahid Asadi, and Safa residential complexes located in Atabak neighborhood of District 15 of Tehran. The statistical population was equal to 20469 people, and based on Cochran's formula, 384 questionnaires were distributed among residents. Finally, 380 complete and error-free questionnaires were collected; the validity of the questionnaire was confirmed in the form of face and face validity as well as divergent validity. In order to check the reliability of the questionnaire, Cronbach's alpha and combined reliability were used, and according to the results presented in the research findings section, the reliability of the questionnaire was confirmed. The data obtained from this research were analyzed using structural modeling using SPSS and PLS software. Results and discussion This research showed that physical quality has a positive and significant effect on improving housing quality; according to the value of the obtained path coefficient, which is equal to 0.368, the value of this effect is considered moderate. Based on the results, it can be said that physical dimensions, such as the physical crystallization of housing, are the most objective and material issues in housing evaluation, analysis, and planning. Concerning the impact of access to urban services on the quality of housing, the findings indicated a significant impact of access to urban services. In explaining the results of this section, it can be said that gradually, the housing is changing from a single purpose to a shelter. Those other aspects of welfare and social comfort are also added; the limits of enjoying services and access to the essentials of life are shown to evaluate the housing quality. These indicators are very important in determining housing quality and are an integral part of housing planning. Access to urban housing services is considered one of the main indicators of life, which the Population Crisis Committee has used to measure quality in the world's metropolises. In relation to social conditions and environmental quality on the quality of housing, the results of this research confirmed the impact of the social environment and environmental quality on the quality of housing. Creating residential spaces is a topic that has been discussed previously. From the beginning, human beings have tried to create a favorable living environment that matches the quality conditions of their residence's social and environmental environment. ConclusionThis research was written to explain the factors affecting improving the quality of urban housing. The findings of this research showed that among the studied factors, the physical quality factor with a path coefficient of 0.368 has the most significant impact on improving the quality of urban housing in Tehran, such that this factor can explain 13.5% of the variance of the housing quality condition variable. Physical quality is defined based on the structural basis of a building and is often defined in the form of rules and standards related to it. The physical quality is sometimes interpreted as the appearance of buildings. Since they are fixed and real things, they are the reason for the emergence of general indicators for housing evaluation. The second factor is access to urban services with a path coefficient of 0.339, so this factor can explain 11.4% of the variance of the housing quality condition variable. This factor has been ranked second regarding the impact on housing quality according to the path coefficient value obtained. In third place was the factor of environmental quality with the path coefficient value of 0.302, and this factor can explain 1.9% of the variance of the variable of housing quality. Moreover, in the last place is the factor of housing social conditions, which has a path coefficient of 0.196. Also, from the other results of this research, we can mention the positive effect of access to the quality of urban services on the improvement of the physical condition of housing, and the value of the path coefficient obtained for this effect is equal to 0.623 so that it is 38.8% of the variance of the variable. FundingThere is no funding support. Authors’ ContributionThe authors contributed equally to the conceptualization and writing of the article. All of the authors approthe contenttent of the manuscript and agreed on all aspects of the work declaration of competing interest none. Conflict of InterestThe authors declared no conflict of interest. Acknowledgments We are grateful to all the scientific consultants of this paper.
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