Research on GIS-aided housing satisfaction using fuzzy decision-making techniques

BOSTANCI B., Bakir N. Y., DOĞAN U., Gungor M.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, vol.32, no.4, pp.1193-1207, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 32 Issue: 4
  • Publication Date: 2017
  • Doi Number: 10.17341/gazimmfd.369540
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.1193-1207
  • Keywords: Fuzzy TOPSIS, fuzzy DEMATEL, housing satisfaction, geographical information systems, geostatistical analysis, QUALITY-OF-LIFE, TOPSIS, DEMATEL, ENVIRONMENT, GROWTH, MODEL
  • Erciyes University Affiliated: Yes


In housing satisfaction research, studies that focus on the evaluation of surveying and its results draw much attention. However, a guiding contribution cannot be made to the decision-making processes in planning due to the lack of modelling for the spatial provisions of these survey-based studies. This study was conducted using two multi-criteria decision-making methods (Fuzzy DEMATEL+Fuzzy TOPSIS), and a model was created for the evaluation of housing satisfaction in two different TOKI housing estates. A fuzzy examination was carried out on the factors that affect satisfaction with the housing estates and their spatial provisions. A comparable housing satisfaction map based on a geostatistical analysis and supported with Geographic Information System was created for both housing estates using the obtained results. The planning, typology and design approaches of both TOKI housing estates are the same, but the level of the satisfaction with the houses in the Yenidogan TOKI housing estate was found to be as high as 60%, while the level of satisfaction with the Ildem TOKI housing estate was found to be extremely low. The study concluded that this difference derived from site selection, and that relationships with the city centre and transportation corridors were determinant factors.