Akademik Veri Yönetim Sistemi
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.40, sa.1, 2025 (SCI-Expanded, Scopus, TRDizin)
Housing and rental market has an important economic place in the economy of countries. Housing prices aregenerally determined by the characteristics such as area of the house, the number of rooms, the floor it is locatedon, etc. However, in addition to these characteristics of the house itself, the location of the house also has asignificant impact on the marketing evaluation of the house. In this respect, it is important to be able to evaluatethe housing location according to objective criteria in order to prevent subjective price speculations. In this study,evaluation of the location of a real estate is considered as a multi-criteria decision making (MCDM) problem. Fromthis location, the ease of transportation to other points of the city by public transportation, as well as the ease oftransportation to important points such as metro stations, hospitals, shopping malls and urban green areas, is takeninto consideration. In this context, the concept of a public transport network (PTN) distance has been introducedand an index called the Location Valuation Index (LVI) has been proposed. The advantage of the proposed LVImethod over other MCDM methods is that information about all alternatives is needed to create a preferenceranking in other MCDM methods. In the LVI method, an index that can be calculated directly, independently ofother alternatives, is proposed. The newly proposed method has been shown to give consistent results by comparingit with the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, which is widelyused in the literature. The proposed model was run on the public transportation network data of the city of Izmir,the third largest metropolitan city of Turkey, and the LVI heatmap of the city was created.