سنجش كيفيت زندگي در قلمرو مسكن در بافت هاي فرسوده واجد ارزش تاريخي شهر اصفهان

(The Housing Domain of Quality of Life (QOL) in the Decayed Historic Areas of Isfahan (DHI

هدف اين مقاله، سنجش كيفيت زندگي در قلمرو مسكن در بافت هاي فرسوده واجد ارزش تاريخي شهر اصفهان است. بدين منظور از مطالعه كتابخان هاي و فن تحليل مقايس هاي جهت تحليل بعد عيني كيفي تزندگي در قلمرو مسكن و از مطالعه ميداني از نوع پرسش نام هاي و فن تحليل عاملي براي تحليل بعد ذهني آن استفاده گرديده است. نتايج به دست آمده در ارتباط با بعد عيني كيفي تزندگي در قلمرو مسكن حا كي از آن بود كه به غير از شاخص هاي كيفيت مسكن و ميانگين مساحت قطعات و تعداد اتاق در واحد مسكوني، ساير شاخص هاي كيفيت زندگي در قلمرو مسكن از وضعيت مناسب تري نسبت به نواحي شهري كشوري برخوردارند. بررسي وضعيت ذهني كيفيت زندگي در قلمرو مسكن نيز مشخص نمود كه اولاً كيفي تزندگي در قلمرو مسكن قابل تقسيم به چهار زيرقلمرو شامل كيفيت مسكن، فضاي مسكن، امنيت تصرف و تعلق به مسكن مي باشد كه به ترتيب بيشترين درصد از واريانس را تبيين مي نمايند و ثانياً بيشترين مشكل در قلمرو مسكن در ارتباط با زيرقلمروهاي كيفيت مسكن و تعلق به مسكن نمود يافته است. از اين رو با توجه به وجود مشكل در زيرقلمرو كيفيت مسكن و شدت تاثيرگذاري آن در قلمرو مسكن، مي توان كيفيت مسكن را اولويت اصلي پرداختن به مقوله كيفيت زندگي در قلمرو مسكن عنوان نمود.

This article aims to survey the decayed his toric areas of Isfahan (DHI) in order to determine the housing domain of quality of life (QOL) in both objective and subjective dimensions and its Sub-domains in these Settlements and to find the most important housing sub-domain and the most significant indicators of quality of life in decayed historic areas Which determine the Variables that need to be improved. In this study, comparative analysis was used for the evaluation and analysis of objective dimension of QOL in the housing domain. Moreover, we used survey analysis for the assessment of the subjective aspect of QOL in this domain. Eighteen indicators were selected so as to reflect the housing sub-domains of QOL. In the objective dimension, we compared our housing data with those of national urban areas and found that except for the number of rooms, mean plot size and building quality, in terms of other objective housing indicators, DH are better than national urban areas especially in relation to basic housing service which showed no problems. On the other hand, we used subjective indicators to find housing domain satisfaction. Multi-stage sampling technique was used for sampling. In the beginning, we used Neyman's allocation method to determine sample sizes. Then in the second stage systematic sampling method was used in order to distribute the sample sizes among the districts. In Order to measure this Satisfaction, We used exploratory factor analysis on the eighteen indicators to find the housing sub-domains of QOL. The factor analysis explored 4 sub-domains includes 1) housing Quality, 2) housing Space, 3) security of tenure and 4) housing affiliation. Out of these housing sub-domains of QOL, the most important one was housing quality which accounts for 24.52% of total variances. Also, in Order to render comparison possible, the obtained factor scores for all four housing sub-domains of QOL were put on a scale from 0 to 1 using Conventional linear scaling transformation technique. The mean Scaled factor scores for the four extracted housing sub-domains of QOL indicates firstly, the factor scores for the housing sub-domains of QOL for all districts are very similar and close to each other, indicating similar patterns for the housing domain of QOL in these districts; secondly, factor scores for all housing sub-domains of QOL for all the 14 surveyed districts are relatively low (less than 0.6) and housing quality and housing affiliation are lower than security of tenure and housing Space which shows that housing quality and housing affiliation problems are among the most pressing issues in DHl. In addition, We tested the regression model between housing satisfaction as a Whole and the Sub-domains and found housing quality as the most effective domain on Overall housing satisfaction. The results of the regression model as well as factor analysis indicated that to improve the housing domain of QOL in DHl, attention should be paid to the housing quality factor the indicators of which include building materials used, building quality, earthquake resistance, building age, type of housing unit, housing Services and kitchen Ventilation Satisfaction.