ÇOK KRİTERLİ KARAR VERME YÖNTEMLERİYLE EMLAK FİYATLARI VE KONUTA ERİŞEBİLİRLİK AÇISINDAN ŞEHİR KARŞILAŞTIRMALARI

Gökhan Özkaya
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Abstract

Especially since the beginning of the pandemic period, millions of people with low and middle incomes are experiencing significant problems due to the rapid increase in real estate prices worldwide. Therefore, they have to allocate a significant portion of their income to rent or housing loans. The price of renting and purchasing a home is increasing faster than the average family income. Many of the 17 SDGs and 169 related objectives have a greater connection to housing than others. Governments should provide an environment where all individuals have access to adequate and affordable housing in socially, economically and ecologically sustainable communities, and where everyone can reach their full potential, through policies that support the Sustainable Development Goals. This study proposes a new and original integrated approach consisting of cluster analysis and multi-criteria decision-making methods to systematically analyze indicators and compare the performance of housing affordability and property prices in cities. After determining the indicator weights objectively with the Critic method, 60 cities from 25 countries are compared with TOPSIS, VIKOR, PROMETHEE I-II, ARAS, COPRAS, ELECTRE, SAW and MAUT methods. Also, a general common ranking was obtained with the Borda Count Method. In addition, evaluations and comparisons are made in terms of countries and cities.
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特别是自大流行时期开始以来,由于世界各地房地产价格的迅速上涨,数百万低收入和中等收入人群正面临重大问题。因此,他们不得不将收入的很大一部分用于房租或住房贷款。租房和购房价格的增长速度超过了家庭平均收入的增长速度。在17项可持续发展目标和169项相关目标中,许多目标与住房的关系比其他目标更密切。各国政府应通过支持可持续发展目标的政策,创造一个环境,使所有人都能在社会、经济和生态可持续的社区中获得适足和负担得起的住房,并使每个人都能充分发挥其潜力。本研究提出了一种新的、独创的综合方法,包括聚类分析和多标准决策方法,系统分析城市住房负担能力和房价的指标,并比较其表现。在用Critic方法客观确定指标权重后,对来自25个国家的60个城市进行了TOPSIS、VIKOR、PROMETHEE I-II、ARAS、COPRAS、ELECTRE、SAW和MAUT方法的比较。同时,用Borda计数法得到了一个通用的排序。此外,还以国家和城市为单位进行了评价和比较。
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