IMPLEMENTATION OF GIS-AHP-OWA FOR LAND SUITABILITY ASSESSMENT IN INFRASTRUCTURE INVESTMENT PROJECTS: A CASE STUDY IN YUCATÁN, MEXICO
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Published
Oct 4, 2023
Tatiana Merino-Benítez
Victor Hernández Luis Antonio Bojórquez-Tapia
https://orcid.org/0000-0002-7587-1498
Victor Hernández Luis Antonio Bojórquez-Tapia
Abstract
This article presents an approach to land suitability assessment (LSA) that accounts for the opposing interests and viewpoints of multiple stakeholders. LSA is a widely used geospatial technique for locating optimal sites for infrastructure investment. The approach described in this paper uses the Analytic Hierarchy Process (AHP) to elicit relative importance weights of a set of geographical attributes, the evaluation of the state of each attribute in spatial units using value functions on a geographic information system (GIS), and the implementation of the Ordered Weighted Average (OWA) as an aggregation operator. The approach is illustrated through the location of potential sites for swine plant investments, taking into consideration environmental conflicts in Yucatán, Mexico. This approach provides a systematic and transparent procedure for analyzing infrastructure projects’ land suitability and developing investment recommendations that promote sustainable development.
How to Cite
Merino-Benítez, T., Hernández, V., & Bojórquez-Tapia, L. A. (2023). IMPLEMENTATION OF GIS-AHP-OWA FOR LAND SUITABILITY ASSESSMENT IN INFRASTRUCTURE INVESTMENT PROJECTS: A CASE STUDY IN YUCATÁN, MEXICO. International Journal of the Analytic Hierarchy Process, 15(2). https://doi.org/10.13033/ijahp.v15i2.1100
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Keywords
land suitability scenarios, risk attitudes, environmental conflicts, sustainable development
References
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Beinat, E. (1997). Value functions for environmental management. Kluwer Academic Publishers.
Bojórquez-Tapia, L.A., Díaz-Mondragón, S., & Ezcurra, E. (2001). GIS-based approach for participatory decision making and land suitability assessment. International Journal of Geographical Information Science, 15(2), 129-151. Doi: https://doi.org/10.1080/13658810010005534
Bojórquez-Tapia, L.A., Brower, P.L., Castilleja, G., Sánchez-Colón, S., Hernández, M., Calvert, W., Díaz, S., Gómez-Priego, P., Alcantar, G., Melgarejo, E.D., Solares, M.J., Gutiérrez, L., & Juárez, M.L. (2003). Mapping expert knowledge: Redesigning the monarch butterfly biosphere reserve. Conservation Practice, 17(2), 367-379.
Bojórquez-Tapia, L.A., Ongay-Delhumeau, E., & Ezcurra, E. (1994). Multivariate approach for suitability assessment and environmental conflict resolution. Journal of Environmental Management, 41, 187-198.
Bojórquez-Tapia, L.A., Pedroza, D., Ponce-Díaz, G., Días de León, A.J., & Lluch-Belda, D. (2016). A continual engagement framework to tackle wicked problems: curtailing loggerhead sea turtle fishing bycatch in Gulf of Ulloa, Mexico. Sustainability Science. 12(4), 535-548. Doi: http://doi.org/10.1007/s11625-016-0405-1
Bydekerke, L., Van Ranst, E., Vanmechelen, L., & Groenemans, R. (1998). Land suitability assessment for cherimoya in southern Ecuador using expert knowledge and GIS, Agriculture, Ecosystems and Environment, 69, 89-98.
Calderón, C.G., Vigueros, M.C., Escalante, V.E., Ramírez, M.E., & Tomasini, A.C. (2021). Las aguas residuales porcícolas en Yucatán y su tratamiento. Secretaría Nacional de Medio Ambiente y Recursos Naturales, Perspectivas Imta, 31, 1-5. Doi: http://dx.doi.org/10.24850/b-imta-perspectivas-2021-31
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Chen, J., Zhang, X., & Zhu, Q. (2011). Multi-objective decision making for land use planning with Ordered Weighted Averaging method. Systems Engineering Procedia, 2, 434 – 440. Doi: http://doi.org/10.1016/j.sepro.2011.10.063
Cook, W.D. (2006). Distance-based and ad hoc consensus models in ordinal preference ranking. European Journal of Operational Research, 172, 369–385. Doi: http://doi.org/10.1016/j.ejor.2005.03.048
Creative Decisions Foundation (CDF). (2023, August 2). Super Decisions CDF, available at: https://www.superdecisions.com/
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Dengiz, O. (2013). Land suitability assessment for rice cultivation based on GIS modeling. Turkish Journal of Agriculture and Forestry, 37, 326-334. Doi: http://doi.org/10.3906/tar-1206-51
Ducker, A., Semerena, R., González, V., & Magaña, S. (2003). La industria porcina en Yucatán: Un análisis de la generación de aguas residuales. Problemas Del Desarrollo, 34(135), 105-124.
Eastman, J. R., Kyem, P. A. K., & Toledano, J. (1993). A procedure for multi-objective decision making in GIS under conditions of conflicting objectives. Proceedings of European Conference on Geographical Information Systems, 438–44.
El Baroudy, A.A. (2016). Mapping and evaluating land suitability using a GIS-based model. Catena, 140, 96-104. Doi: http://dx.doi.org/10.1016/j.catena.2015.12.010
Ellis, E.A., Hernández-Gómez, I.U., & Romero-Montero, J.A. (2017). Los procesos y causas del cambio en la cobertura forestal de la Península Yucatán, México. Ecosistemas, 26(1), 101-111.
Fernández, E., Pozo, M., & Puerto, J. (2014). Ordered weighted average combinatorial optimization: Formulations and their properties. Discrete Applied Mathematics, 169, 97-118. Doi: http://dx.doi.org/10.1016/j.dam.2014.01.001
Ferretti, V., & Pomarico, S. (2013). Ecological land suitability analysis through spatial indicators: An application of the Analytic Network Process technique and Ordered Weighted Average approach. Ecological Indicators, 34, 507-519. Doi: http://dx.doi.org/10.1016/j.ecolind.2013.06.005
Girard, L.F., Cerreta, M., & Toro, P. (2012). Analytic Hierarchy Process (AHP) and Geographical Information Systems (GIS): an integrated spatial assessment for planning strategic choices. International Journal of the Analytic Hierarchy, 4(1), 4-26. Doi: http://dx.doi.org/10.13033/ijahp.v4i1.102
Halder, J.C. (2013). Land suitability assessment for crop cultivation by using remote sensing and GIS. Journal of Geography and Geology, 5(3), 65-74. Doi: http://doi.org/10.5539/jgg.v5n3p65
Jafari, S., & Zaredar, N. (2010). Land suitability analysis using Multi Attribute Decision Making approach. International Journal of Environmental Science and Development, 1(5), 441-445. Doi: http://dx.doi.org/10.7763/ijesd.2010.v1.85
Jiang, H., & Eastman, J.R. (2000). Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Science, 14(2), 173-184. Doi: http://dx.doi.org/10.1080/136588100240903
Jin, L., Yager, R.R., Spirkov, J., Mesiar, R., Paternain, D., & Bustince, H. (2021). OWA aggregation with dual preferences for basic uncertain information. Journal of Intelligent & Fuzzy Systems, 40, 4535–4544. Doi: http://doi.org/10.3233/JIFS-201374
Joerin, F., Thériault, M., & Musy, A. (2001). Using GIS and outranking multicriteria analysis for land-use suitability assessment. International Journal of Geographical -Information Science, 15(2), 153-174. Doi: http://doi.org/10.1080/13658810051030487
Khalid, A., & Awais, M.M. (2015). Comparing distance to consensus of collective relations using OWA operators. Journal of Intelligent & Fuzzy Systems, 28, 1647–1657. Doi: http://doi.org/10.3233/IFS-141450
Karasan, A. (2019). A novel hesitant intuitionistic fuzzy linguistic AHP method and its application to prioritization of investment alternatives. International Journal of the Analytic Hierarchy Process, 11(1), 127-142. Doi: https://doi.org/10.13033/ijahp.v11i1.610
Keeney, R. (1992). Value focused thinking. Cambridge: Harvard University Press.
Kuhn, M., & Johnson, M. (2016). Applied predictive modeling (eBook). Springer Nature. Doi: http://doi.org/10.1007/978-1-4614-6849-3
LaGro, J.A. (2008). Site analysis: A contextual approach to sustainable land planning and site design (2nd ed). John Wiley and Sons, Inc.
Lami, I.M., Masala, E., & Pensa, S. (2011). Analytic Network Process (ANP) and visualization of spatial data: the use of dynamic maps in territorial transformation processes. International Journal of the Analytic Hierarchy Process, 3(2), 92-106. Doi: http://doi.org/10.13033/isahp.y2011.067
Latinopoulos, D., & Kechagia, K. (2015). A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece. Renewable Energy, 78, 550-560. http://doi.org/10.1016/j.renene.2015.01.041
Luan, C., Liu, R., & Peng, S. (2021). Land-use suitability assessment for urban development using a GIS-based soft computing approach: A case study of Ili Valley, China. Ecological Indicators, 123(107333), 1-13. Doi: http://doi.org/10.1016/j.ecolind.2020.107333
Malczewski, J. (2006). Ordered weighted averaging with fuzzy quantifiers: GIS-based multicriteria evaluation for land-use suitability analysis. International Journal of Applied Earth Observation and Geoinformation, 8(4), 270–277. Doi: http://doi.org/10.1016/j.jag.2006.01.003
Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning, 62, 3–65. Doi: http://doi.org/10.1016/j.progress.2003.09.002
Malczewski, J., Moreno-Sanchez, R., Bojórquez-Tapia, L.A., & OngayDelhumeau, E. (1997). Multicriteria Group Decision-Making model for environmental conflict analysis in the Cape region, Mexico. Journal of Environmental Planning and Management, 40(3), 349-374.
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