Abstract
There are many criteria to be considered in environmental, social, and economic issues for the landfill site selection (LSS). Multi-criteria decision analysis (MCDA) methods are often used to solve complex decision-making problems such as LSS. However, decision-makers (DMs) may hesitate during the evaluation of the landfill sites with possible incorrect evaluation concerns. Therefore, the inclusion of the hesitant fuzzy linguistic term sets (HFLTS), which considers the hesitations in the preferences of DMs, is suitable for the solution of the problem. On the other hand, geographic information systems (GIS) is an important decision support tool that can analyze different types of spatial data. The aim of this study is to evaluate landfill sites. To do so, the applied approach includes the processes of identifying appropriate alternative sites for landfills by combining HFLTS-based MCDA method and GIS and evaluation of alternative sites with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The applicability of the proposed approach is tested on Samsun city, Turkey. As a result, scenario analysis, which is dominated by environmental criteria, provides better results dominated by social-economic criteria. Consequently, 12 alternative locations are selected and evaluated for the LSS. Atakum and Canik districts of Samsun city are determined as very suitable locations for landfill sites.
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Abediniangerabi B, Kamalirad S (2016) Landfill sitting using MCDM in Tehran metropolitan. J Urban Environ Eng 10(1):11–24
Achillas C, Moussiopoulos N, Karagiannidis A, Banias G, Perkoulidis G (2013) The use of multi-criteria decision analysis to tackle waste management problems: a literature review. Waste Manag Res 31(2):115–129
Adem A, Dağdeviren M (2016) A life insurance policy selection via hesitant fuzzy linguistic decision making model. Procedia Comput Sci 102:398–405
Afzali A, Samani JMV, Rashid M (2011) Municipal landfill site selection for Isfahan city by use of fuzzy logic and analytic hierarchy process. Iranian J Environ Health Sci Eng 8(3):273–284
Akinci G, Guven ED, Gok G (2012) Evaluation of waste management options and resource conservation potentials according to the waste characteristics and household income: a case study in Aegean Region, Turkey. Resour Conserv Recycl 58:114–124
Alanbari MA, Al-Ansari N, Jasim HK (2014) GIS and multi-criteria decision analysis for landfill site selection in AL-Hashimyah Qadaa. Nat Sci 6(5):282–304
ArcGIS, 2020, https://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-analyst-toolbox/how-aspect-works.htm, Access date: 08.06.2020
Bahrani S, Ebadi T, Ehsani H, Yousefi H, Maknoon R (2016) Modeling landfill site selection by multi-criteria decision making and fuzzy functions in GIS, case study: Shabestar, Iran. Environ Earth Sci 75(337):1–14
Barakat A, Hilali A, El Baghdadi M, Touhami F (2017) Landfill site selection with GIS-based multi-criteria evaluation technique: a case study in Béni Mellal-Khouribga Region, Morocco. Environ Earth Sci 76(413):1–13
Behzadian M, Otaghsara SK, Yazdani M, Ignatius J (2012) A state-of the-art survey of TOPSIS applications. Expert Syst Appl 39(17):13051–13069
Beskese A, Demir HH, Ozcan HK, Okten HE (2015) Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul. Environ Earth Sci 73(7):3513–3521
Bosompem C, Stemn E, Fei-Baffoe B (2016) Multi-criteria GIS-based siting of transfer station for municipal solid waste: the case of Kumasi Metropolitan Area, Ghana. Waste Manag Res 34(10):1054–1063
Carter RL, Morris R, Blashfield RK (1989) On the partitioning of squared Euclidean distance and its applications in cluster analysis. Psychometrika 54(1):9–23
Celiker M, Yıldız O, Kocer NN (2019) Evaluating solid waste landfill site selection using multi-criteria decision analysis and geographic information systems in the city of Elazığ, Turkey. Pamukkale Univ J Eng Sci 25(6):683–691
Chabuk AJ, Al-Ansari N, Hussain HM, Knutsson S, Pusch R, Laue J (2017) Combining GIS applications and method of multi-criteria decision-making (AHP) for landfill. Sustainability 9(11):1932
Chabuk A, Al-Ansari N, Hussain HM, Laue J, Hazim A, Knutsson S, Pusch R (2019) Landfill sites selection using MCDM and comparing method of change detection for Babylon Governorate, Iraq. Environ Sci Pollut Res 26:35325–35339
Demesouka OE, Vavatsikos AP, Anagnostopoulos KP (2013) Suitability analysis for siting MSW landfills and its multi-criteria spatial decision support system: method, implementation and case study. Waste Manag 33(5):1190–1206
Demesouka OE, Vavatsikos AP, Anagnostopoulos KP (2014) GIS-based multi-criteria municipal solid waste landfill suitability analysis: a review of the methodologies performed and criteria implemented. Waste Manag Res 32(4):270–296
DOM (2020) 10th Regional Directorate of Meteorology, http://www.samsun.mgm.gov.tr, Access date: 11.06.2020
EEA (2020) Copernicus Land Monitoring Service - EU-DEM, https://www.eea.europa.eu/data-and-maps/data/copernicus-land-monitoring-service-eu-dem, Access date: 11.06.2020
Elalfy Z, Elhadary R, Elashry A (2010) Integrating GIS and MCDM to Deal with landfill site selection. Int J Eng Technol 10(6):32–42
Eskandari M, Homaee M, Mahmodi S (2012) An integrated multi criteria approach for landfill siting in a conflicting environmental, economic and socio-cultural area. Waste Manag 32(8):1528–1538
Fahmi A, Kahraman C, Bilen Ü (2016) ELECTRE I method using hesitant linguistic term sets: an application to supplier selection. Int J Comput Intell Syst 9:153–167
Feyzi S, Khanmohammadi M, Abedinzadeh N, Aalipour M (2019) Multi-criteria decision analysis FANP based on GIS for siting municipal solid waste incineration power plant in the north of Iran. Sustain Cities Soc 47:101513
Gbanie SP, Tengbe PB, Momoh JS, Medo J, Kabba VTS (2013) Modelling landfill location using geographic information systems (GIS) and multi-criteria decision analysis (MCDA): case study Bo, Southern Sierra Leone. Appl Geogr 36:3–12
GDM (2014) General Directorate of Mapping, Province and district areas. https://www.harita.gov.tr/images/urun/il_ilce_alanlari.pdf, Access date: 07.04.2020
Gemitzi A, Tsihrintzis VA, Voudrias E, Petalas C, Stravodimos G (2007) Combining geographic information system, multi-criteria evaluation techniques and fuzzy logic in siting MSW landfills. Environ Geol 51(5):797–811
Gigović L, Pamučar D, Božanić D, Ljubojević S (2017) Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: a case study of Vojvodina, Serbia. Renew Energy 103:501–521
Goulart Coelho LM, Lange LC, Coelho HM (2017) Multi-criteria decision making to support waste management: a critical review of current practices and methods. Waste Manag Res 35(1):3–28
Guiqin W, Li Q, Guoxue L, Lijun C (2009) Landfill site selection using spatial information technologies and AHP: a case study in Beijing, China. J Environ Manag 90(8):2414–2421
Hamzeh M, Abbaspour RA, Davalou R (2015) Raster-based outranking method: a new approach for municipal solid waste landfill (MSW) siting. Environ Sci Pollut Res 22(16):12511–12524
Hwang CL, Yoon K (1981) Multiple attributes decision making methods and applications. Springer, Berlin
Isalou AA, Zamani V, Shahmoradi B, Alizadeh H (2013) Landfill site selection using integrated fuzzy logic and analytic network process (F-ANP). Environ Earth Sci 68(6):1745–1755
Jenks GF (1967) The data model concept in statistical mapping. Int Yearbook of Cartogr 7:186–190
Kahraman C, Öztayşı B, Onar SÇ (2014) A multicriteria supplier selection model using hesitant fuzzy linguistic term sets, In Decision making and soft computing: Proceedings of the 11thInternational FLINS Conference, 36–41
Kamdar I, Ali S, Bennui A, Techato K, Jutidamrongphan W (2019) Municipal solid waste landfill siting using an integrated GIS-AHP approach: a case study from Songkhla, Thailand. Resour Conserv Recycl 149:220–235
Keskin M, Dogru AO, Balcik FB, Goksel C, Ulugtekin N, Sozen S (2015) Comparing spatial interpolation methods for mapping meteorological data in Turkey, In Energy systems and management. Springer, Cham, pp 33–42
Khan MMUH, Vaezi M, Kumar A (2018) Optimal siting of solid waste-to-value-added facilities through a GIS-based assessment. Sci Total Environ 610:1065–1075
Kharat MG, Kamble SJ, Raut RD, Kamble SS, Dhume SM (2016) Modeling landfill site selection using an integrated fuzzy MCDM approach. Model Earth Sys Environ 2(53):1–16
Khodaparast M, Rajabi AM, Edalat A (2018) Municipal solid waste landfill siting by using GIS and analytical hierarchy process (AHP): a case study in Qom city, Iran. Environ Earth Sci 77(52):1–12
Kontos TD, Komilis DP, Halvadakis CP (2005) Siting MSW landfillswith a spatial multiple criteria analysis methodology. Waste Manag 25:818–832
Malczewski J (2006) GIS-based multi-criteria decision analysis: a survey of the literature. Int J Geogr Inf Sci 10(7):703–726
Malczewski J, Rinner C (2015) Multicriteria decision analysis in geographic information science. Springer, New York
Melo AL, Calijuri ML, Duarte IC, Azevedo RF, Lorentz JF (2006) Strategic decision analysis for selection of landfill sites. J Surv Eng 132:83–92
Moeinaddini M, Khorasani N, Danehkar A, Darvishsefat AA, Zienalyan M (2010) Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste Manag 30(5):912–920
Motlagh ZK, Sayadi MH (2015) Siting MSW landfills using MCE methodology in GIS environment (case study: Birjand plain, Iran). Waste Manag 46:322–337
MREGD (2020) Mineral Research & Exploration General Directorate, https://www.mta.gov.tr/eng/, Access date: 11.06.2020
Naoum S, Tsanis IK (2004) Ranking spatial interpolation techniques using a GIS-based DSS, Global Nest. Int J 6(1):1–20
Nas B, Cay T, Iscan F, Berktay A (2010) Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation. Environ Monit Assess 160(1–4):491–500
OMU (2020) Department of Soil Science and Plant Nutrition, https://ziraat.omu.edu.tr/en/akademik-birimler/toprak-bilimi-ve-bitki-besleme-boeluemue, Access date: 11.06.2020
Onar SÇ, Oztaysi B, Kahraman C (2014) Strategic decision selection using hesitant fuzzy TOPSIS and interval type-2 fuzzy AHP: a case study. Int J Comput Intell Syst 7(5):1002–1021
Onar SÇ, Büyüközkan G, Öztayşi B, Kahraman C (2016) A new hesitant fuzzy QFD approach: an application to computer workstation selection. Appl Soft Comput 46:1–16
Opricovic S, Tzeng GH (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156(2):445–455
OSM (2020) OpenStreetMap Foundation, https://www.openstreetmap.org, Access date: 11.06.2020
Osra FA, Kajjumba GW (2020) Landfill site selection in Makkah using geographic information system and analytical hierarchy process. Waste Manag Res 38(3):245–253
Ouma YO, Kipkorir EC, Tateishi R (2011) MCDA-GIS integrated approach for optimized landfill site selection for growing urban regions: an application of neighborhood-proximity analysis. Ann GIS 17(1):43–62
Ozkan B, Ozceylan E, Sarıçiçek İ (2019) GIS-based MCDM modeling for landfill site suitability analysis: a comprehensive review of the literature. Environ Sci Pollut Res 26(30):30711–30730
Rahmat ZG, Niri MV, Alavi N, Goudarzi G, Babaei AA, Baboli Z, Hosseinzadeh M (2017) Landfill site selection using GIS and AHP: a case study: Behbahan, Iran. KSCE J Civ Eng 21(1):111–118
Rodríguez RM, Martinez L, Herrera F (2012) Hesitant fuzzy linguistic term sets for decision making. IEEE Trans Fuzzy Syst 20:109–118
Rodríguez RM, Martinez L, Herrera F (2013) A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets. Inf Sci 241:28–42
Sánchez-Lozano JM, García-Cascales MS, Lamata MT (2014) Comparative TOPSIS-ELECTRE TRI methods for optimal sites for photovoltaic solar farms, Case study in Spain. J Clean Prod 127:387–398
Sener S, Sener E, Nas B, Karagüzel R (2010) Combining AHP with GIS for landfill site selection: a case study in the Lake Beyşehir catchment area (Konya, Turkey). Waste Manag 30(11):2037–2046
Sener S, Sener E, Karagüzel R (2011) Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent-Uluborlu (Isparta) Basin, Turkey. Environ Monit Assess 173(1–4):533–554
Shahabi H, Keihanfard S, Ahmad BB, Amiri MJT (2014) Evaluating Boolean, AHP and WLC methods for the selection of waste landfill sites using GIS and satellite images. Environ Earth Sci 71(9):4221–4233
SHW (2020) 7th Regional Directorate of State Hydraulic Works, http://bolge07.dsi.gov.tr, Access date: 11.06.2020
Soltani A, Hewage K, Reza B, Sadiq R (2015) Multiple stakeholders in multi-criteria decision-making in the context of municipal solid waste management: a review. Waste Manag 35:318–328
Sumathi VR, Natesan U, Sarkar C (2008) GIS-based approach for optimized siting of municipal solid waste landfill. Waste Manag 28(11):2146–2160
Torabi-Kaveh M, Babazadeh R, Mohammadi SD, Zaresefat M (2016) Landfill site selection using combination of GIS and fuzzy AHP, a case study: Iranshahr, Iran. Waste Manag Res 34(5):438–448
Torra V (2010) Hesitant fuzzy sets. Int J Intell Syst 25:529–539
TSI (2017) Turkish Statistical Institute, http://tuik.gov.tr/UstMenu.do?metod=istgosterge, Access date: 08.06.2020
TSI (2019) Turkish Statistical Institute, http://tuik.gov.tr/UstMenu.do?metod=istgosterge, Access date: 07.04.2020
Tuysuz F, Simsek B (2017) A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector. Complex Intell Syst 3(3):167–175
World Bank (2019) Solid waste management. http://www.worldbank.org/en/topic/urbandevelopment/brief/solid-waste-management, access date: 07.04.2020
Wu Z, Xu J, Jiang X, Zhong L (2019) Two MAGDM models based on hesitant fuzzy linguistic term sets with possibility distributions: VIKOR and TOPSIS. Inf Sci 473:101–120
Yal GP, Akgün H (2014) Landfill site selection utilizing TOPSIS methodology and clay liner geotechnical characterization: a case study for Ankara, Turkey. Bull Eng Geol Environ 73(2):369–388
Yavuz M, Oztaysi B, Onar SC, Kahraman C (2015) Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model. Expert Syst Appl 42(5):2835–2848
Yildirim V (2012) Application of raster-based GIS techniques in the siting of landfills in Trabzon Province, Turkey: a case study. Waste Manag Res 30(9):949–960
Zanjani JA, Rezaei M (2017) Landfill site selection using combination of fuzzy logic and multi-attribute decision-making approach. Environ Earth Sci 76(448):1–14
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The authors are very grateful to Professor Orhan Dengiz, Professor Nurdan Gamze Turan, and Environmental Engineer Levent Arslan for their constructive comments and suggestions.
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Appendix 1 Pairwise comparisons of DMs
Appendix 1 Pairwise comparisons of DMs
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Özkan, B., Sarıçiçek, İ. & Özceylan, E. Evaluation of landfill sites using GIS-based MCDA with hesitant fuzzy linguistic term sets. Environ Sci Pollut Res 27, 42908–42932 (2020). https://doi.org/10.1007/s11356-020-10128-0
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DOI: https://doi.org/10.1007/s11356-020-10128-0