Abstract
Industrialization policy is one of the main goals of developing a country. These policies include not only economic considerations, but also social and environmental issues. Therefore, in order to identify the industrial development potential of Qeshm Island, a multi-criteria evaluation method based on fuzzy logic and analytical network process was used. In this research, the criteria influencing the ecological capability evaluation to identify the potential of industrial development include ecological and economic parameters that were identified by Delphi method. In order to conduct the research, first, the digital layers and required data were obtained from databases and field observations in the study area, and the criteria and indicators were quantized and normalized by fuzzy method. The weight of factors was also determined by analytical network process. Then, using the weighted linear combination, all information layers were integrated in the GIS (10.3), and the final map of the location of industrial sites was prepared. The results revealed that the economic and social parameters with the weight of 0.65 have the most effect on locating the industrial sites of the region, and the land use index with the weight of 0.227 (among socioeconomic criteria) and the fault index with the weight of 0.123 (among ecological criteria) are among the most important indexes in locating industrial sites in the region. The ROC method was used to assess the accuracy of the research. The results showed that the ROC value was 0.907, which indicates the efficiency of the model used in the research.
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Abushnafa AM, Pandeyb RK, Lalc D (2015) Identification and evaluation of new industrial zones in Giridih District using remote sensing & GIS techniques. Int J Eng Techn 1(5):14
Afzali A, Samani MV (2011) Landfill site selection for municipal solid waste of Esfahan City using analytic network process considering the importance of water resources protection. Iran-Water Resources (IR-WRR) 7(1):67–76 (in Persian)
Afzali A, Sabri S, Rashid M, Samani JMV, Ludin ANM (2014) Inter-municipal landfill site selection using analytic network process. Water Resour Manage 28(8):2179–2194
Ahmadizadeh SSR, Hajizadeh F, Ziaee M (2011) Presentation of a new fuzzy logic-based integrated site mapping and analytical hierarchy analysis in a GIS system (case study of Birjand industrial town). Environ Stud 2(4):61–74 (in Persian)
Aliani H, BabaieKafaky S, Saffari A, Monavari SM (2017) Land evaluation for ecotourism development—an integrated approach based on FUZZY, WLC, and ANP methods. Int J Environ Sci Technol 14(9):1999–2008
Arabsheibani R, Kanani Sadat Y, Abedini A (2016) Land suitability assessment for locating industrial parks: a hybrid multi criteria decision-making approach using geographical information system. Geograph Res 54(4):446–460
Atthiawong W, MacCarthy B (2002) An application of analytical hierarchy process to international location decision making. In: 7th Cambridge research symposium on international manufacturing, centre for international manufacturing. Cambridge University, pp 1–18
Azizi M, Ramezanzadeh M (2013) Determining effective criteria for the selection of MDF industry locations in Mazandaran Province: application of AHP. For Sci Pract 15(3):222–230
Azizi M, Mohebbi N, Gargari RM, Ziaie M (2015) A strategic model for selecting the location of furniture factories: a case of the study of furniture. Int J Multicrit Decis Mak 5(1–2):87–108
Borna R (2017) Industrial Site selection using AHP and GIS. Sci Res Q Geograph Data (SEPEHR) 26(103):161–175 (in Persian)
Boutkhoum O, Hanine M, Agouti T, Tikniouine A (2015) An improved hybrid multi-criteria/multidimensional model for strategic industrial location selection: casablanca industrial zones as a case study. SpringerPlus 4(1):23
Burrough PA (1990) Methods of spatial analysis in GIS. Int J Geograph Inf Syst 4(3):221–223
Chen HC, Shyu JZ (2005) Using ANP for evaluating value position of industrial cluster effect. In 2005 International Symposium on the Analytic Hierarchy Process, Honolulu, Hawaii
Cheng EW, Li H (2005) Analytic network process applied to project selection. J Constr Eng Manag 131(4):459–466
Dareh Shouri F (2009) Qeshm nature, 1st edn. 1st issue. Agah Publishing, Tehran, p 156 (in persian)
Eldrandaly KA, AL-Amari MA (2014) an expert GIS-based ANP-OWA decision making framework for tourism development site selection. Int J Intell Syst Appl 6(7):1–11
Eldrandaly K, Eldin N, Sui D (2003) A COM-based spatial decision support system for industrial site selection. J Geograph Inf Decis Anal 7(2):72–92
Fataei E, Alipour M, Farhadi H, Mohammadian A (2015) Industrial state site selection using MCDM method and GIS in Germi, Ardabil, Iran. J Ind Intell Inf 3(4):324–329
Fernández I, Ruiz MC (2009) Descriptive model and evaluation system to locate sustainable industrial areas. J Clean Prod 17(1):87–100
Forslid R, Haaland JI, Midelfart KH (2002) A U-shaped Europe. A simulation study of industrial location. J Int Econ 57:273–297
Görener A (2012) Comparing AHP and ANP: an application of strategic decisions making in a manufacturing company. Int J Bus Soc Sci 3(11):194–208
Hadipour M, Kishani M (2014) Environmental location planning of industrial zones using Ahp And Gis In Arak City, Iran. Proc MISG 1:109–114
Hajebi Sh, Soleimani GhR, Rahimpoor M (2016) Using multi-criteria policy making techniques to locate the industrial parks (case study: Divandarreh’s Industry Park, Kurdistan Province). J Manag Syst 10(34):63–73 (in Persian)
Hansen HS (2003) A fuzzy logic approach to urban land-use mapping. In: Proceedings, Scan-GIS, Helsinki, Denmark
Huang IB, Keisler J, Linkov I (2011) Multi-criteria decision analysis in environmental sciences: ten years of applications and trends. Sci Total Environ 409(19):3578–3594
Keeney RL (1982) Decision analysis: an overview. Oper Res 30(5):803–838
Lee AH, Chen WC, Chang CJ (2008) A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Syst Appl 34(1):96–107
Løken E (2007) Use of multicriteria decision analysis methods for energy planning problems. Renew Sustain Energy Rev 11:1584–1595
Mahdavi A, Karami O, Mirzaei I (2013) Application of analytical network process (ANP) in determination and evaluation of potential area to ecotourism development in Badreh Area, Ilam. Iran For Ecol J 1(1):30–45 (in Persian)
Malczewski J (1999) GIS and multicriteria decision analysis. Wiley, New York
Mas JF, Soares Filho B, Pontius RG, Farfán Gutiérrez M, Rodrigues H (2013) A suite of tools for ROC analysis of spatial models. ISPRS Int J Geo-Inf 2(3):869–887
Masoodi M, Salman Mahiny A, Mohammadzadeh M, Mirkarimi SH (2016) Optimization of recreational site selection using multi criteria evaluation and functional relationship diagram (Case study: Miankaleh wildlife sanctuary). Pollution 2(2):163–181
Menhaj MB (2007) Fuzzy computing, 1st edn. Amirkabir Pub, Tehran
Miller MM (1993) Enhancing regional analysis with the Delphi method. Rev Reg Stud 23(2):191–212
Mirata M, Emtairah T (2005) Industrial symbiosis networks and the contribution to environmental innovation: the case of the Landskrona industrial symbiosis programme. J Clean Prod 13:993–1002
Mohammadi F, Bavaghar MP, Shabanian N (2014) Forest fire risk zone modeling using logistic regression and GIS: an Iranian case study. Small-Scale For 13(1):117–125
Naghdi F, Nikkhah A (2014) East Azarbaijan’s eco-environmental potential for industrialization: functional systems analysis models. Turkish J Sci Technol 9(2):135–139
Naghdi F, Monavvari SM, Hosseini SM, Gharagozlu A (2017) Industrial zoning of east azerbaijan province of iran using multicriteria evaluation modeling. Appl Ecol Environ Res 15(3):1565–1576
Najafinasab F, Karbassi AR, Ghoddousi J (2015) Fuzzy analytic network process approach to evaluate land and sea criteria for land use planning in coastal areas. Ocean Coast Manag 116:368–381
Önder E, Kabadayi N (2015) Supplier selection in hospitality industry using ANP. Int J Acad Res Bus Soc Sci 5(1):166–186
Rahimi V, Pourkhabbaz HR, Aghdar H, Mohammadyari F (2015) Comparison of fuzzy AHP buckley and ANP models in forestry capability evaluation (Case Study: Behbahan City Fringe). J Appl Ecol 4(13):15–31 (in Persian)
Rangzan K, Saberi A, Bakhteyary M (2016) Positioning wood industry units in Khuzestan Province by sing analytic network process (ANP) in GIS environment. J Manag Syst 5(17):45–58 (in Persian)
Razavian MT (2002) Urban land use planning. Monshi Publication, p 264 (in Persian)
Reisi M, Aye L, Soffianian A (2011) Industrial site selection by GIS in Isfahan, Iran. In: 19th international conference on geoinformatics 2011, pp 1–4. IEEE
Rikalovic A, Cosic I, Lazarevic D (2014) GIS based multi-criteria analysis for industrial site selection. Procedia Eng 69:1054–1063
Rikalovic A, Cosic I, Labati RD, Piuri V (2015) A comprehensive method for industrial site selection: the macro-location analysis. IEEE Syst J. https://doi.org/10.1109/JSYST.2015.2444471
Ruiz MC, Romero E, Pérez MA, Fernández I (2012) Development and application of a multi-criteria spatial decision support system for planning sustainable industrial areas in Northern Spain. Autom Constr 22:320–333
Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill International Book Co, New York/London
Saaty TL (1996) Decision making with dependence and feedback: analytic network process. Organization and Prioritization of Complexity. RWS Publications, Pittsburgh
Saaty TL (2013) Analytic network process. Encyclopedia of operations research and management science, pp 64–72
Saaty TL, Vargas LG (2006) Decision making with the analytic network process: economic, political, social and technological applications with benefits, opportunities, costs and risks. Springer; Softcover reprint of hardcover 1st edition. RWS Publications
Soroudi M, Omrani G, Moataar F, Jozi SA (2018) Modelling an integrated fuzzy logic and multi-criteria approach for land capability assessment for optimized municipal solid waste landfill siting yeast. Pol J Environ Stud 27(1):313–323
Taibi A, Atmani B (2017) Combining fuzzy AHP with GIS and decision rules for industrial site selection. Int J Interact Multimedia Artif Intell 4:1–10
Vosoogh A, Baghvand A, Karbassi A, Nasrabadi T (2017) Landfill site selection using pollution potential zoning of aquifers by modified DRASTIC method: case study in Northeast Iran. Iran J Sci Technol Trans Civ Eng 41(2):229–239
Williams EA, Massa AK (1983) Siting of major facilities: a practical approach. McGraw-Hill Inc., New York, USA
Wu CR, Lin CT, Chen HC (2009) Integrated environmental assessment of the location selection with fuzzy analytical network process. Qual Quant 43(3):351–380
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Salari, M., Shariat, S.M., Rahimi, R. et al. Land capability evaluation for identifying industrial zones: combination multi-criteria decision-making method with geographic information system. Int. J. Environ. Sci. Technol. 16, 5501–5512 (2019). https://doi.org/10.1007/s13762-018-1925-2
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DOI: https://doi.org/10.1007/s13762-018-1925-2