سنجش و ارزیابی شاخص های زیستپذیری در محلات شهری(مطالعه موردی: محله قصردشت شهر شیراز)
محورهای موضوعی : معماریمحمدرضا شهریاری 1 , پریسا مشک سار 2
1 - دانشجوی دکتری دانشگاه آزاد اسلامی واحد اصفهان
2 - استادیار، گروه شهرسازی، دانشکده هنر و معماری، مؤسسه آموزش عالی آپادانا، شیراز، ایران
کلید واژه: کالبدی, اجتماعی, شیراز, زیست پذیری,
چکیده مقاله :
در چند دهةاخیر پدیدة تنزّل کیفیت محیطی بر ساختار کهن شهرهای ایرانی سایه افکنده و پایداری درازمدت آن را با خطر مواجه ساخته است.. . هدف پژوهش حاضر سنجش زیست پذیری و مولفه های تاثیر گذار آن بر ساکنین محله قصردشت شهر شیراز میباشد. از این رو پژوهش از حیث هدف کاربردی و روش انجام آن مبتنی بر روش توصیفی-تحلیلی است . به منظور گردآوری داده های مورد نیاز از روش های اسنادی و میدانی و پرسشنامه استفاده شده است. جامعه آماری ،خانوار های ساکن در محله قصردشت شهر شیراز است که بر اساس فرمول کوکران تعداد 378 پرسشنامه به عنوان حجم نمونه محاسبه شد . برای سنجش شاخص های زیست پذیری از 18 گویه در قالب 5 مولفه اصلی استفاده شده است. همچنین تجزیه و تحلیل داده ها با استفاده از روشهای آماری آزمون T ، ضریب هبستگی پیرسون و روش تحلیل رگرسیون چند متغیره در نرم افزار SPSS انجام شده است. نتایج بدست آمده نشان میدهد زیست پذیری در محله قصردشت بالاتر از سطح متوسط قرار گرفته و با توجه به میزان ضریب همبستگی پیرسون در بین متغیر های وابسته مورد مطالعه یعنی مولفه اقتصادی، اجتماعی، کالبدی، زیست محیطی و زیر ساخت و خدمات همبستگی و رابطه مستقیم معنادار آماری وجود دارد. همچنین نتایج بیانگر آنست که شاخص اجتماعی با میزان بتای 289/0 بیشترین تاثیر را بر زیست پذیری ساکنین در محله داشته است.
In the last few decades, the phenomenon of degradation of environmental quality has cast a shadow on the structure of old Iranian cities and has threatened its long-term sustainability... The aim of the current research is to measure livability and its influencing factors on the residents of Qasrdasht neighborhood in Shiraz. Therefore, the research is based on the descriptive-analytical method in terms of its practical purpose and method. In order to collect the required data, documentary and field methods and questionnaires have been used. The statistical population is the households living in Qasrdasht neighborhood of Shiraz city, based on Cochran's formula, 378 questionnaires were calculated as the sample size. 18 items in the form of 5 main components have been used to measure livability indicators. Also, data analysis was done using statistical methods of T-test, Pearson's correlation coefficient and multivariate regression analysis method in SPSS software. The obtained results show that livability in Qasrdasht neighborhood is above the average level and according to the Pearson correlation coefficient among the dependent variables studied, i.e. economic, social, physical, environmental and infrastructure components and services, correlation and direct relationship There is statistical significance. Also, the results show that the social index with a beta value of 0.289 had the greatest impact on the livability of the residents in the neighborhood.
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