GIS Based Urban Renewal Area Awareness and Expectation Analysis Using Fuzzy Modeling

Doğan U., Gungor M. K., Bostancı B., Yılmaz Bakır N.

SUSTAINABLE CITIES AND SOCIETY, cilt.54, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 54
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.scs.2019.101945
  • Dergi Adı: SUSTAINABLE CITIES AND SOCIETY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Anahtar Kelimeler: Urban Renewal, Fuzzy TOPSIS, Fuzzy DEMATEL, Geostatistical Analysis, GROUP DECISION-MAKING, DEMATEL, REGENERATION, SUSTAINABILITY, TOPSIS, PERCEPTIONS, SELECTION, QUALITY, CAUSAL, LOGIC
  • Erciyes Üniversitesi Adresli: Evet

Özet

It is necessary to establish a new urban renewal approach, prioritizing the participation of the local society with the capability to resolve problems with the contributions of government, private sectors, and society.

In urban renewal awareness and expectation research, generally, the results of survey-based studies are analyzed using statistical methods. Because of the lack of modelling regarding the spatial references in these questionnaire-based studies, no significant contributions can be made in the decision-making processes of planning that drive sustainable urban transformation. In the present study, by using the multiple-criteria fuzzy decision-making methods (Fuzzy DEMATEL + Fuzzy TOPSIS), the local society’s awareness and expectation levels about urban renewal were determined for 13 different neighborhoods. The results obtained were visualized on a satellite map by using the Geographical Information System (GIS)-supported geostatistical analysis methods. Given the results, and spatializing the level of urban renewal expectations, it was determined that the level of awareness and expectation was higher with local society involvement when compared to other residential areas since urban renewal project processes were started in the Ahi Evran and Küçük Ali residential areas of Kayseri province.