با همکاری مشترک دانشگاه پیام نور و انجمن ارزیابی محیط زیست ایران

نوع مقاله : علمی-پژوهشی

نویسندگان

1 استادیار، گروه شهرسازی، دانشگاه بین‌المللی امام خمینی (ره)، قزوین، ایران

2 استادیار، گروه معماری، دانشگاه زنجان، زنجان، ایران

چکیده

هدف این پژوهش تبیین اثربخشی مؤلفه‌های شخصیتی بر رضایتمندی سکونتی در سه محله مقدم، تختی و هاشمی شهر تهران است. نوع پژوهش کاربردی و با استفاده از روش توصیفی - تحلیلی انجام شده است. از روش تحلیل خوشه‌ای سلسله‌مراتبی و K-Means، برای تعیین محلات نمونه‌ مطالعاتی استفاده شد. جامعة مخاطب در سنجش موضوع رضایتمندی سکونتی، ساکنینی از محلات هستند که خانه‌هایشان در فاصله سال‌های 1392-1388 نوسازی شده است. طبق فرمول کوکران 325 پرسشنامه‌ به روش سیستماتیک در محلات تکمیل شد. نتیجه روایی پرسشنامه با آلفای کرونباخ 72/0 در ارتباط با کلیه سؤالات، این روایی را در سطح بالا مورد تأیید قرار داد. از تحلیل عامل اکتشافی جهت تبیین عوامل معرف رضایتمندی سکونتی در محلات و از آزمون‌های من‌ویتنی یوتست و آزمون کروسکال والیس جهت بررسی تأثیرگذاری ویژگی‌های شخصیتی بر رضایتمندی سکونتی است و درنهایت ارتباط ویژگی‌های شخصیتی با عوامل رضایتمندی سکونتی با تحلیل رگرسیونی مشخص گردید. نوآوری پژوهش حاضر بررسی تأثیرگذاری مؤلفه‌های شخصیتی بر رضایتمندی سکونتی در عرصه بافت‌های فرسوده شهری و همچنین در نظر گرفتن مؤلفه وضعیت اقامت ساکنان به‌عنوان یک مؤلفه جدید در این حوزه است. طبق نتایج حاصل چهار عامل ویژگی‌های مجتمع مسکونی، شرایط محیطی-اجتماعی محله، خدمات و امکانات محلی و وضعیت واحد مسکونی به‌عنوان عوامل معرف رضایتمندی سکونتی تعیین شدند. جنسیت، وضعیت اقامت، مالکیت، درآمد و تحصیلات بر مقوله رضایتمندی سکونتی تأثیرگذار است مؤلفه مالکیت و تحصیلات با میزان تأثیرگذاری حدود 5 درصد بیشترین و بعد خانوار با کمتر از 2 درصد کمترین میزان تأثیرگذاری را بر رضایتمندی سکونتی ساکنان دارند.

کلیدواژه‌ها

عنوان مقاله [English]

A Comparative Study of the Personality Components Effectiveness on Residential Satisfaction Case Study: Moghadam, Takhti & Hashemi Neighborhoods in Tehran

نویسندگان [English]

  • Maliheh Bbabakhani 1
  • Asieh Sameh 2

1 Assistant Professor, Department of urbanism, Imam Khomeini International University, Qazvin, Iran

2 Assistant Professor, Department of Architecture , University of Zanjan, Zanjan, Iran

چکیده [English]

The purpose of this research is to explain the effectiveness of personality components on residential satisfaction. The applied research was done using the descriptive-analytical method. Hierarchical cluster analysis and K-Means were used to determine the locations of the study sample. The target audience in measuring residential satisfaction is the residents of neighborhoods whose houses were renovated between 1388-1392. According to Cochran's formula, 325 questionnaires were completed in a systematic way in the neighborhoods. The validity of the instrument was confirmed using Cronbach's alpha test with a coefficient of 0.72. Exploratory factor analysis is used to explain the factors of residential satisfaction in the neighborhoods, and Mann-Whitney U-test and Kruskal-Wallis test are used to investigate the influence of personality traits on residential satisfaction, and finally, the relationship between personality traits and the residential satisfaction factors was determined by regression analysis. The innovation of the current research is to investigate the influence of personality components on residential satisfaction in the field of worn-out urban contexts and also to consider the component of the resident's dwelling status as a new component in this field. According to the results of the study, the characteristics of the residential complex, environmental-social conditions of the neighborhood, local services and facilities, and the condition of the residential unit were determined as factors representing residential satisfaction. Gender, residence status, ownership, income, and education have an effect on residential satisfaction. Ownership and education components have the highest and household dimension has the lowest impact on residents' residential satisfaction.

کلیدواژه‌ها [English]

  • Personality Components
  • Residential Satisfaction
  • Moghadam Neighborhood
  • Takhti Neighborhood
  • Hashemi Neighborhood
  • Tehran
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