دانلود مقاله ISI انگلیسی شماره 102956
ترجمه فارسی عنوان مقاله

مهندسی ارزیابی بازار املاک و مستغلات به عنوان شرط ارزیابی مناطق شهری

عنوان انگلیسی
Rating engineering of real estate markets as the condition of urban areas assessment
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
102956 2017 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Land Use Policy, Volume 61, February 2017, Pages 511-525

ترجمه کلمات کلیدی
بازار املاک و مستغلات، سیستم رتبه بندی، شرایط مناطق شهری، توسعه شهری،
کلمات کلیدی انگلیسی
Real estate market; Rating system; Urban areas condition; Urban development;
پیش نمایش مقاله
پیش نمایش مقاله  مهندسی ارزیابی بازار املاک و مستغلات به عنوان شرط ارزیابی مناطق شهری

چکیده انگلیسی

The aim of this research is to develop a methodology which could be used to evaluate the state (related to rating levels such as: investment, development, stagnant, crisis; see Appendix A, Table A1) and the condition (related to the components described in the rating scale table, such as: economic situation, quality of life, spatial potential of development, flexible reaction of the market, behavioral factors, etc.; see Appendix A, Table A1) of the real estate market in a form of rating. The established rating classification provides a current, reliable and comparable view of the conditions of cities that can be useful in investment decision-making process. The authors used “Rating Engineering” to highlight the application of mathematics and practical knowledge (regarding the needs of participants) in order to develop an innovative tool for decision-making on the real estate market. The proposed rating system procedure is versatile and can be implemented in any domain, especially when the analysis concerns imprecise and vague data. The study shows that the ratings developed by the authors indicate on a significant correlation with future events in the real estate market, which have a key influence on the development of the real estate market and an assessment of its condition. The received results confirmed that the developed methodology allows to obtain reliable view of the state and condition of residential property market.