Landslide susceptibility analysis with multi criteria decision methods; a case study of Taşova

Main Article Content

Melike Öcül
Aziz Şişman

Abstract

Natural or artificial based disasters threaten to humans. In order to minimize the loss of life and property that may occur after a disaster, various studies are carried out. One of these studies is disaster risk maps. To produce disaster risk maps, the criteria which affecting the disasters should be determined. In order to evaluate more than one criterion Multi-Criteria Decision Making Methods (MCDM) and Geographical Information Systems (GIS) are used. MCDM methods are used both to weight criteria and to rank among alternatives. In the current study Taşova district of Amasya province is used as study area and two different Landslide Susceptibility Maps were produced based on Analytical Hierarchy Process (AHP) and Full Consistency Method (FUCOM) for this region. A total of twelve criteria were determined for production of risk map and raster data was produced by performing various spatial analyzes for the current criteria. Two different landslide susceptibility maps were obtained by giving criterion weights to the generated raster data. It was observed that, Risk-free area, low risk area and high risk area rates are almost equal, but medium risk area and risk area rates are different in two different weighting methods.

Article Details

How to Cite
Öcül, M., & Şişman, A. (2023). Landslide susceptibility analysis with multi criteria decision methods; a case study of Taşova. Advanced GIS, 3(1), 14–21. Retrieved from https://publish.mersin.edu.tr/index.php/agis/article/view/835
Section
Articles

References

Acar, E. (2019) Production of landslide susceptibility maps by using AHP Method and GIS analyses (Publication No. 588102 ) [Master Thesis, Hacettepe University]. YÖK National Thesis Center.

Arslankaya, S., & Göraltay, K. (2019) Çok kriterli karar verme yöntemlerinde güncel yaklaşımlar. Iksad Publishing House.

Ayçin, E., & Aşan, H. (2021). Determination of the weight coefficients of criteria in the selection of business intelligence applications with FUCO. KOCATEPE İİBFD, 23(2), 195-208. https://doi.org/10.33707/akuiibfd.903563

Boyacı, A. Ç. (2020) Selection of eco-friendly cities in Turkey via a hybrid hesitant fuzzy decision making approach Applied Soft Computing, 89,106090. https://doi.org/10.1016/j.asoc.2020.106090

Cankaya, Z. C., Suzen, M. L., Yalciner, A. C., Kolat, C., Zaytsev, A., & Aytore, B. (2016). A new GIS-based tsunami risk evaluation: MeTHuVA (METU tsunami human vulnerability assessment) at Yenikapı, Istanbul. Earth, Planets and Space, 68, 1-22. https://doi.org/10.1186/s40623-016-0507-0

Dağ, S. (2007) Landslide susceptibility analysis of Çayeli region (Rize) by statistical methods (Publication No. 212109) [Doctoral Thesis, KTU]. YÖK National Thesis Center.

Ergünay, O. (2007) Türkiye’nin Afet Profili, TMMOB Afet Sempozyumu (in Turkish), Ankara, Turkey.

Gökçeoğlu, C., & Ercanoğlu, M. (2001). Uncertainties on the parameters employed in preparation of landslide susceptibility maps. Earth Sciences, 22(23), 189-206.

Gökkaya, M. A. (2014). Coğrafi Bilgi Sistemleri (CBS) ve Analitik Hiyerarşi Yöntemi (AHY) ile üretilen deprem tehlike haritalarının duyarlılık analizi (Publication No. 356077) [Master Thesis, Istanbul Technical University]. YÖK National Thesis Center.

Ishizaka, A., & Labib, A. (2009). Analytic hierarchy process and expert choice: benefits and limitations. OR Insight, 22(4), 201-220.

Jian-Zhong, X., Li-Jing, W., & Jun, L. (2008). A Study of AHP-Fuzzy comprehensive evaluation on the development of eco-enterprise. 15th International Conference On Management Science & Engineering, Long Beach, USA. 219-224. https://doi.org/10.1109/ICMSE.2008.4668919

Kabak, M., Erbaş, M., Çetinkaya, C., & Özceylan, E. (2018). A GIS-based MCDM approach for the evaluation of bike-share stations. Journal of Cleaner Production, 201, 49–60. https://doi.org/10.1016/j.jclepro.2018.08.033

Özşahin, E. (2015). Landslide Susceptibility Analysis by Geographical Information Systems: The Case of Ganos Mount (Tekirdağ). Electronic Journal of Map Technologies 7(1), 47-63. https://doi.org/10.15659/hartek.15.04.68

Pamučar, D., Stević, Ž., & Sremac, S. (2018). A new model for determining weight coefficients of criteria in MCDM Models: full consistency method (FUCOM). Symmetry, 10(9), 393. https://doi.org/10.3390/sym10090393

Saaty, T. L. (1994). How to make a decision: the analytic hierarchy process. Interfaces, 24(6), 19-43. https://doi.org/10.1287/inte.24.6.19

Yalçın, A. (2007). The use of analytical hierarchy process and GIS in production of landslide susceptibility maps. Selcuk University Journal of Engineering, Science and Technology, 22(3), 1-14.

Yılmaz, M. (2010). The analytic hierarchy process (AHP) and an application: the selection of a library director as a leader. Turkish Librarianship, 24(2), 206-234.

Yildirim, B. (2019). Multi-Criteria Decision Making Methods. Retrieved March 10, 2023, from https://bahadirfyildirim.com/kutuphane/kitap/cok-kriterli-karar-verme-yontemleri/

Zahedi, F. (1986). The analytic hierarchy process: a survey of the method and its applications. Interface 16(4), 96-108. https://doi.org/10.1287/inte.16.4.96