Spatial Decision Support Systems for Locating Waste Landfills

Olayinka Waziri Otun

Abstract

The decision process to locate an undesirable facility like a waste landfill usually involves many stakeholders and many location criteria. The views of the stakeholders on the importance of the criteria often differ.  Such a location problem is termed ‘a complex spatial problem’ and is solved by spatial multi-criteria based approaches. The objective of this paper is to provide a spatial decision support system (SDSS) that integrates multi-criteria and location-allocation (L-A) models to support the decision process of locating a waste landfill.  The SDSS was applied to find a suitable location for a landfill in Ijebu-Ode, a medium sized city in Nigeria. The data input into the multi-criteria analysis model of the SDSS include three town planning regulatory constraint maps and four environmental factor maps. Data input into the L-A model include the location and amount of waste generated at nineteen waste collection points in the study area. Data on the road network was used to determine movements between the waste collection points and the landfill. To determine the most suitable area for the landfill, the factor maps were weighted by the stakeholders’ preferences and combined with the constraint maps to eliminate areas that cannot be used for the landfill. The result of the map combination and weighted overlay procedure, resulted into twenty seven environmentally suitable areas. To find the most efficient of the twenty seven suitable locations, the L-A model was applied. The chosen facility location is the most efficient for the waste management system in terms of transportation cost. The usefulness of SDSSs as a decision support tool in solving complex spatial problem has been demonstrated in this paper. Improvements in available data and existing GIS can encourage similar systems to be designed and used by decision makers, particularly in developing countries.

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References

Abler, R., Adams, J.S., & Gould, P. (1971). Spatial organization. New Jersey: Prentice-Hall Inc.

Adebo, G., & Ajewole, O. (2012). Gender and the urban environment: Analysis of willingness to pay for waste management disposal in Ekiti-state, Nigeria. American International Journal of Contemporary Research, 2(5), 228-236.

Adeyemi, G. O., & Ogundero, O. C. (2001). Some geotechnical properties of soils developed over migmatite-gneiss in Oru-Ijebu, Southwestern Nigeria. Journal of Applied Sciences, 4(3), 2139 – 2150.

Aremu, A. S., Adeleke, O. O.,& Sule, B. F. (2011). A GIS-based optimization technique for spatial location of municipal waste bins in a developing city. Ethiopian Journal of Environmental Studies and Management, 4(3), 65-72.

Armstrong, M.P., Rushton,G., Honey, R., Datziel, B.T, Lolonis, P., De,S.,& Densham, P.J. (1991). A decision support system for regionalizing service delivery systems. Computers, Environment and Urban Systems, 15(1), 37-53.

Ascough, J. C., Harriet, D. Rector, D. L., Hong, G. S., McMaster, B. C., Vandenberg, M. J., Shaffer, M., Weltz, A. & Lajpat R. A. (1999). Multicriteria spatial decision support systems: Overview, applications, and future research directions. Fort Collins, Colorado, USDA: Great Plains Systems Research Unit.

Ayeni, B. (1992). A place for everything, University of Ibadan Inaugural Lectures. Ibadan, Nigeria: University of Ibadan.

Ayeni, B. (2010).The practitioner’s guide to geographic information systems, spatial analysis and spatial decsion support systems. Ibadan, Nigeria: Research Support Services.

Bailey, D.T. (2005). Development of an optimal spatial decision-making system using approximate reasoning. Unpublished Ph.D thesis submitted to Faculty of Built Environment and Engineering, Queensland University of Technology.

Densham, J., and Rushton, G. R., (1988), Decision support systems for locational planning. In R.G. Colledge, & H.J.P. Timmermans (Eds.), Behavioral Modeling in Geography and Planning (pp.56-90). New York: Croom Helm.

Densham, P.J. (1991). Spatial decsion support systems. In D. J. Magure, M. F. Goodchild, & D.W. Rhind (Eds.), Geographical information systems: Principles and applications (pp. 403-412). New York: John Wiley & Sons.

Feick, R.D., & Hall, B.G. (2004). A method for examining spatial dimension of multicriteria weight sensitivity. International Journal of Geographical Information Science, 18, 815-840.

Ferretti, V. (2011). A multicriteria spatial decision support system development for siting a landfill in the province of Torino (Italy). Journal of Multicriteria Decision Analysis, 18, 231-252.

Geneletti, D. (2010). Combining stakeholder analysis and spatial multicriteria evaluation to select and rank inert landfill sites. Waste Management 30(2), 328-337.

Goodchild, M. F., (1989). Geographic information systems and market research. In Papers and Proceedings of Applied Geography Conferences, 12, 1-8.

Harris, B. and Batty, M. (1991). Locational models, geographic information and planning support systems. Paper presented at the 38th North American Meeting of the Regional Science Association, 7-10 November, New Orleans, LA.

Higgs, G. (2006). Integrating multi-criteria techniques with geographic information systems in waste facility locationto enhance public participation. Waste Management and Research, 24, 105-117.

House, W.C (Ed.) (1983). Decision support systems (pp. 167-188). New York: Petrocelli.

Ifeoma, M., Onyeonoro, U., Ezeama, N., Ogbuagu, C.,& Agam, N. (2011). Public health implication of household solid waste management in Awka South East Nigeria. The Internet Journal of Public Health, 1(1), 13-21.

Jankowski, P. & Nyerges, T. (1991). Introduction to spatial decision support system.Advanced Geographic Information Systems, 2. Retrieved from Encyclopedia of life Support Systems website: http://www.eolss.net/sample-chapters/c01/E6-72-04.pdf.

Jankowski, P. (1995). Integrating geographical information systems and multiple criteria decision-making methods. International Journal of Geographical Information Systems, 9(3), 251-273.

Keen, P.G.W. (1980). Adaptive design for decision support systems. Data Base,12, 15-25.

Khan, S., & Faisal, M.N. (2008). An analytic network process model for municipal solid waste disposal options. Waste Management, 28(9), 1500-1508.

Klosterman, R. (2000). Planning support systems: A new perspective on computer aided planning. Planning Support Systems: Integrating Geographic Information Systems, Models and Visualisation Tools. Brail, R. and Klosterman, R.. Redlands, California, ESRI Press

Kyriakidis, P.C., & Goodchild, M. (1999). Geostatistics for conflation and accuracy assessment of digital elevation models.International. Journal of Geographical Information Sciences, 13, 677-707.

Linkov, I., & Steevens, J. (2005). Multi-criteria decision analysis. Retrieved from : http://www.epa.gov/cyanohabssymposium/monograph/Ch35AppA.pdf.

Lindquist, R. C. (1991). llinois cleans up: Using GIS for landfill siting. Geo Info.Systems, February, 30-25.

Longe, E.O., & Balogun, M.R. (2010). Groundwater quality assessment near a municipal landfill, Lagos, Nigeria. Res. J. Appl. Sci. Eng. Technol, 2(1), 39-44.

Malczewski, J. (1999).GIS-based multicriteria decision analysis. New York: John Wiley and Sons.

Mendes, J.F.G. (1997). Integrating GIS and model based analysis in facility location. Braga, Portugal: Department of Civil Engineering, University of Minho.

Noble, G.(1992). Siting Landfills and other LULUs. Lancaster, PA, USA: Technomic Publishing Company, Inc. 215pp.

Norese, M.F . (2006). ELECTRE III as a support for participatory decision-making on the localization of waste-treatment plants. Land Use Policy, 23(1), 76-85.

Ogun State Government (2010). Central department statistics. Abeokuta, Nigeria: Ministry of Finance.

Oladapo, M. I, Adeoye-Oladapo, O. O., & Adebobuyi, F. S. (2011). Geo-electric study of major landfills in the Lagos metropolitan area, Southwestern Nigeria, International Journal of Water Resources and Environmental Engineering, 5(7), 387-398.

Oliet, M., Negro, C., Blanco, M.A., & Mirada, F.J., (1993). Site best suitable for the disposal of urban solid waste. Journal of Environmental Science and Health,28, 1037-1054.

Onakomaiya, S. O., Okude, A.S., Otun, W.O., & Adedeji, O.H. (2000). Ijebu Zone.In S.O. Onakomaiya, O.O. Odugbemi, O.O. Oyesiku, & I.A. Ademiluyi (Eds.), Ogun state: Local and regional perspectives (pp.309-380). Ago-Iwoye, Nigeria: Centre for Continuing Education, Olabisi Onabanjo University.

Padmaja, V., Asadf, S.S. & Anji, M.R., (2006). Solid waste disposal site selection using analytical hierarchy process and GIS, Pollution Resaerch, 25(1), 73-76.

Pereira, J. & Duckstein, L. (1993). A multiple criteria decision-making approach to GIS-based land suitability evaluation. International Journal of Geographical Information Systems, 7(5), 407-424.

Queiruga, D., Walther, G., Gonzalez-Benito, J., & Spengler, T. (2008). Evaluation of sites for the location of WEEE recycling plants in Spain. Waste Management. 28, 181-190.

Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. New York: McGraw-Hill.

Scholten, H. J., & LoCascio, A. (1997). GIS application research: History, trends and developments. Proceedings of the ESF GISDATA Final Conference on Geographic Information Research at the Millennium, Le Bischenberg, France, 13-17 September, 1997. Retrieved from http://shefac.uk/uni/academic/D-H/gis/key3.html.

Simon, H. A. (1960). The New Science of Management Decision. New York: Harper & Row.

Sharifi, M.A. and Retsios, V. (2004). Site selction for waste disposal through spatial multiple criteria decision analysis. Journal of Telecommunications and Information Technology. 3, 28-38.

Sharifi, M., Hadidi, M., Vessali, E., Mosstafakhani, P., Taheri, K., Shahoie, S., & Khodamoradpour, M. (2009). Integrating multi-criteria decision analysis for a GIS-based hazardous waste landfill sitting in Kurdistan Province, western Iran. Waste Management, 29(10), 2740-2758.

Sprague, R. H., & Carlson, E. D. (1982). Building effective decision support systems. Englewood Cliffs, N.J.: Prentice-Hall, Inc.

Sprague, R.H. (1980). A framework for the development of decision support systems. Management Information Sciences Quarterly, 4, 1-26.

Suman, P. (2012). Location allocation for urban waste disposal site using multi-criteria analysis: A study on Nabadwip municipality, West Bengal, India. International Journal of Geomatics and Geosciences, 3(1), 74-88.

Truitt, M., Liebnman, J., & Kruse, C. (1969). Simulation model of urban refuse collection, Journal of the Sanitary Engineering Division, April, 289-298.

Turban, E. & Aronson, J.L. (2000).Decision Support Systems and Intelligent System. NJ, USA: Prentice Hall.

Voogd, H. (1983).Multi-criteria evaluation for urban and regional planning. London: Pion.

Watson, H. J. & Sprague, R. H. (1993).The components of an architecture for DSS.In R.H. Sprague, & H.J. Watson (Eds.),Decision support systems: Putting theory into practice, 3rd edition. Hempstead: Prentice Hall.

Wright, J.R. & Buehler, K.A. (1993). Probabilistic inferencing and decision support systems. In J.R. Wright, L.L. Wiggins, R.K. Jain, & T.J. Kim (Eds.), Expert systems in environment planning (pp. 119-144). New York: Springer-Verlag.

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