Evaluating the sustainability performance of Turkish provinces with fuzzy logic

被引:1
作者
Ozmen, Ece [1 ]
Yirmibesoglu, Funda [2 ]
机构
[1] Istanbul Tech Univ, ITU Grad Sch, Dept Urban & Reg Planning, Maslak Istanbul, Turkiye
[2] Istanbul Tech Univ, Fac Architecture, ITU Fac Architecture, Dept Urban & Reg Planning, Sisli Istanbul, Turkiye
来源
URBANI IZZIV-URBAN CHALLENGE | 2023年 / 34卷 / 02期
关键词
sustainability; sustainable cities; fuzzy logic; Turkey;
D O I
10.5379/urbani-izziv-en-2023-34-02-05
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
Sustainability is the balance of social, economic, and environmental factors. Evolving from history to the present, the goal of this concept is for humanity to live in harmony with nature. Sustainable development, on the other hand, encompasses achieving urban goals for the future while increasing prosperity and efficiently passing resources to future generations. Sustainability indicators are utilized to guide policymaking and monitor progress. Indicators introduced by various institutions vary by country. In developing economies like Turkey, which this study focuses on, there are a limited number of works on measuring sustainability performance. Hence, this study evaluates urban sustainability levels using the fuzzy logic method. Another objective is to develop a measurable and replicable numerical model to analyse the sustainability performance of cities in Turkey. The study employs a measurement set consisting of twenty-seven indicators from the main ecological, economic, and social components, and it assesses the sustainability levels of cities using fuzzy logic rules. Based on the results obtained, all eighty-one provinces of Turkey are classified into quantile groups and mapped. This analytical approach can guide urban planners, policymakers, and decision-makers. This study contributes to enhancing knowledge and understanding sustainability.
引用
收藏
页码:108 / 122
页数:15
相关论文
共 33 条
[1]  
Akcakaya O., 2016, Ardahan University Journal of Faculty of Economics and Administrative Sciences, V4, P47
[2]  
Alagirisamy B., 2022, SUSTAINABLE CITIES R, P301, DOI [10.1007/978-981-16-5543-2_25, DOI 10.1007/978-981-16-5543-2_25]
[3]  
Alptekin N., 2017, Uluslararasi Yonetim Iktisat ve Isletme Dergisi, V13, P19, DOI [10.17130/ijmeb.20173126261, DOI 10.17130/IJMEB.20173126261]
[4]   Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis [J].
Andriantiatsaholiniaina, LA ;
Kouikoglou, VS ;
Phillis, YA .
ECOLOGICAL ECONOMICS, 2004, 48 (02) :149-172
[5]   Mixed approach to assess urban sustainability and resilience-A spatio-temporal perspective [J].
Buzasi, Attila ;
Jager, Bettina Szimonetta ;
Hortay, Oliver .
CITY AND ENVIRONMENT INTERACTIONS, 2022, 16
[6]  
Colakoglu E., 2019, Iklim Degi
[7]  
ikligi Egitim Modulleri Serisi, P11
[8]   Sustainability Assessment by Use of Fuzzy Logic-A Review [J].
Dumane, Pratibha R. ;
Sarate, Anuja D. ;
Chavan, Satishkumar S. .
COMPUTING, COMMUNICATION AND SIGNAL PROCESSING, ICCASP 2018, 2019, 810 :363-370
[9]  
Endeksa, 2022, Turkiye Kiralik Konut Kiralari
[10]  
Energy Market Regulatory Authority (EMRA), 2022, Electric Market Report 2022