Nominal Land Valuation with Best-Worst Method Using Geographic Information System
A Case of Atakum, Samsun
Bibliographic Data
| ID | 22034617 |
|---|---|
| Authors | Zelalem Ayalke (0000-0003-4223-0683, Ondokuz Mayıs University, corresponding author), Aziz Sisman (0000-0001-6936-5209, Ondokuz Mayıs University) |
| Year | 2022 |
| Volume | 11 |
| Issue | 4 |
| Pages | 213 |
| Publication date | 2022-03-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi11040213 |
| OpenAlex | W4220894705 |
| Language | EN |
| Citations received | 1 |
| References cited | 20 |
Land valuation can be used in various areas, such as taxation, property acquisition, rental, expropriation, urban regeneration, and land readjustment. As a result, determining the value of land accurately by considering multiple criteria to eliminate the impact of subjectivity on the value of land is important. Nominal valuation is a statistical method for determining land values based on multiple criteria. In nominal valuation, criteria can be managed, analyzed, and integrated using Geographic Information Systems (GIS). This study produced a land value map using a nominal valuation method based on multiple criteria. The main criteria and sub-criteria have been determined according to the previous studies. Criteria weights were determined using the Best-Worst Method (BWM), which is one of the Multi-Criteria Decision-Making methods. A nominal land value map of the Atakum district of Samsun was produced by integrating criteria maps using GIS and compared with a value map based on current land sales
Agricultural economics · Business · Cartography · Civil engineering · Economics · Expropriation · Geographic information system · Geography · Land value · Renting · 3D Modeling in Geospatial Applications · Computer Science · Multi-Criteria Decision Making · Soil and Land Suitability Analysis · Finance
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |