District Selection for Geotechnical Settlement Suitability Using GIS and Multi Criteria Decision Analysis: A Case Study in Denizli, Turkey
Multi criteria decision analysis (MDCA) covers both
data and experience. It is very common to solve the problems with
many parameters and uncertainties. GIS supported solutions improve
and speed up the decision process. Weighted grading as a MDCA
method is employed for solving the geotechnical problems. In this
study, geotechnical parameters namely soil type; SPT (N) blow
number, shear wave velocity (Vs) and depth of underground water
level (DUWL) have been engaged in MDCA and GIS. In terms of
geotechnical aspects, the settlement suitability of the municipal area
was analyzed by the method. MDCA results were compatible with
the geotechnical observations and experience. The method can be
employed in geotechnical oriented microzoning studies if the criteria
are well evaluated.
[1] Saaty T.L., Fundamentals of Decision Making and Priority Theory,
RWS Pub., Pittsburgh, 2000.
[2] Triantaphyllou E. and Sanchez A., “A sensitivity analysis approach for
some deterministic multi-criteria decision-making methods”, Decision
Sciences, 28/1, 151-194, 1997.
[3] Malczewski J., GIS and Multicriteria Decision Analysis, Wiley & Sons,
Toronto, 1999.
[4] Kahraman C., Fuzzy Multi-Criteria Decision Making: Theory and
Applications with Recent Developments, Springer, New York, 2008.
[5] Ho W., Xu X. and Dey P.K., “Multi-criteria decision making approaches
for supplier evaluation and selection: a literature review”, European
Journal of Operational Research, 202/1, 16–24, 2010.
[6] Joerin, F., Theriault M. and Musy A., “Using GIS and outranking
multicriteria analysis for land-use suitability assessment”, International
Journal of Geographical Information Science, 15(2), 153-174, 2001.
[7] Mendoza G.A. and H. Martins, “Multi-criteria decision analysis in
natural resource management: A critical review of methods and new
modelling paradigms”, Forest Ecology and Management, 230/1–3, 1–
22, 2006.
[8] Makropoulos C.K. and Butler D., “Spatial ordered weighted averaging:
incorporating spatially variable attitude towards risk in spatial multicriteria
decision-making”, Environmental Modelling & Software, 21/1,
69–84, 2006.
[9] Karnatak, H. C., Saran S., Bhatia K. and Roy P. S., “Multicriteria spatial
decision analysis in web GIS environment”, Geoinformatica, 11,407–
429, 2007.
[10] Greene R., Devillers R., Luther J. E., and Eddy B. G., “GIS-based
multiple-criteria decision analysis”, Geography Compass, 5/6, 412–432,
2011.
[11] Moeinaddini M., Khorasani N., Danehkar A., Darvishsefat A.A. and
Zienalyan M., “Siting MSW landfill using weighted linear combination
and analytical hierarchy process (AHP) methodology in GIS
environment (case study: Karaj)”, Waste Management, 30/5, 912–920,
2010.
[12] Sener S., Sener E. and Karagüzel R., “Solid waste disposal site selection
with GIS and AHP methodology: a case study in Senirkent–Uluborlu
(Isparta) Basin”, Turkey, Environ Monit Assess, 173, 533–554, 2011.
[13] Store R. And Kangas K., “Integrating spatial multi-criteria evaluation
and expert knowledge for GIS-based habitat suitability modelling”,
Landscape and Urban Planning, 55/2, 79–93, 2001.
[14] Dai F.C., Lee C.F. and Zhang X.H, “GIS-based geo-environmental
evaluation for urban land-use planning: a case study”, Engineering
Geology, 61/4, 257–271, 2001.
[15] Kolat Ç., Doyuran V., Ayday C. and Süzen M.L., “Preparation of a
geotechnical microzonation model using Geographical Information
Systems based on Multicriteria Decision Analysis”, Engineering
Geology, 87/3–4, 241–255, 2006.
[16] Akgün A. and Bulut F., “GIS-based landslide susceptibility for Arsin-
Yomra (Trabzon, North Turkey) region”, Environ. Geol. 51, 1377–1387,
2007.
[17] Yalcin A., “GIS-based landslide susceptibility mapping using analytical
hierarchy process and bivariate statistics in Ardesen (Turkey):
Comparisons of results and confirmations”, Catena, 72/1, 1–12, 2008.
[18] PAU-JEO, Geological, Geotechnical and Hydrogeological
Characteristics of Denizli Municipality, Report (in Turkish), Pamukkale
University, 2002.
[19] Saaty T. L., The Analytic Hierarchy Process, McGraw-Hill, New York,
1980.
[1] Saaty T.L., Fundamentals of Decision Making and Priority Theory,
RWS Pub., Pittsburgh, 2000.
[2] Triantaphyllou E. and Sanchez A., “A sensitivity analysis approach for
some deterministic multi-criteria decision-making methods”, Decision
Sciences, 28/1, 151-194, 1997.
[3] Malczewski J., GIS and Multicriteria Decision Analysis, Wiley & Sons,
Toronto, 1999.
[4] Kahraman C., Fuzzy Multi-Criteria Decision Making: Theory and
Applications with Recent Developments, Springer, New York, 2008.
[5] Ho W., Xu X. and Dey P.K., “Multi-criteria decision making approaches
for supplier evaluation and selection: a literature review”, European
Journal of Operational Research, 202/1, 16–24, 2010.
[6] Joerin, F., Theriault M. and Musy A., “Using GIS and outranking
multicriteria analysis for land-use suitability assessment”, International
Journal of Geographical Information Science, 15(2), 153-174, 2001.
[7] Mendoza G.A. and H. Martins, “Multi-criteria decision analysis in
natural resource management: A critical review of methods and new
modelling paradigms”, Forest Ecology and Management, 230/1–3, 1–
22, 2006.
[8] Makropoulos C.K. and Butler D., “Spatial ordered weighted averaging:
incorporating spatially variable attitude towards risk in spatial multicriteria
decision-making”, Environmental Modelling & Software, 21/1,
69–84, 2006.
[9] Karnatak, H. C., Saran S., Bhatia K. and Roy P. S., “Multicriteria spatial
decision analysis in web GIS environment”, Geoinformatica, 11,407–
429, 2007.
[10] Greene R., Devillers R., Luther J. E., and Eddy B. G., “GIS-based
multiple-criteria decision analysis”, Geography Compass, 5/6, 412–432,
2011.
[11] Moeinaddini M., Khorasani N., Danehkar A., Darvishsefat A.A. and
Zienalyan M., “Siting MSW landfill using weighted linear combination
and analytical hierarchy process (AHP) methodology in GIS
environment (case study: Karaj)”, Waste Management, 30/5, 912–920,
2010.
[12] Sener S., Sener E. and Karagüzel R., “Solid waste disposal site selection
with GIS and AHP methodology: a case study in Senirkent–Uluborlu
(Isparta) Basin”, Turkey, Environ Monit Assess, 173, 533–554, 2011.
[13] Store R. And Kangas K., “Integrating spatial multi-criteria evaluation
and expert knowledge for GIS-based habitat suitability modelling”,
Landscape and Urban Planning, 55/2, 79–93, 2001.
[14] Dai F.C., Lee C.F. and Zhang X.H, “GIS-based geo-environmental
evaluation for urban land-use planning: a case study”, Engineering
Geology, 61/4, 257–271, 2001.
[15] Kolat Ç., Doyuran V., Ayday C. and Süzen M.L., “Preparation of a
geotechnical microzonation model using Geographical Information
Systems based on Multicriteria Decision Analysis”, Engineering
Geology, 87/3–4, 241–255, 2006.
[16] Akgün A. and Bulut F., “GIS-based landslide susceptibility for Arsin-
Yomra (Trabzon, North Turkey) region”, Environ. Geol. 51, 1377–1387,
2007.
[17] Yalcin A., “GIS-based landslide susceptibility mapping using analytical
hierarchy process and bivariate statistics in Ardesen (Turkey):
Comparisons of results and confirmations”, Catena, 72/1, 1–12, 2008.
[18] PAU-JEO, Geological, Geotechnical and Hydrogeological
Characteristics of Denizli Municipality, Report (in Turkish), Pamukkale
University, 2002.
[19] Saaty T. L., The Analytic Hierarchy Process, McGraw-Hill, New York,
1980.
@article{"International Journal of Earth, Energy and Environmental Sciences:55299", author = "Erdal Akyol and Mutlu Alkan and Ali Aydin", title = "District Selection for Geotechnical Settlement Suitability Using GIS and Multi Criteria Decision Analysis: A Case Study in Denizli, Turkey", abstract = "Multi criteria decision analysis (MDCA) covers both
data and experience. It is very common to solve the problems with
many parameters and uncertainties. GIS supported solutions improve
and speed up the decision process. Weighted grading as a MDCA
method is employed for solving the geotechnical problems. In this
study, geotechnical parameters namely soil type; SPT (N) blow
number, shear wave velocity (Vs) and depth of underground water
level (DUWL) have been engaged in MDCA and GIS. In terms of
geotechnical aspects, the settlement suitability of the municipal area
was analyzed by the method. MDCA results were compatible with
the geotechnical observations and experience. The method can be
employed in geotechnical oriented microzoning studies if the criteria
are well evaluated.
", keywords = "GIS, spatial analysis, multi criteria decision analysis,
geotechnics.", volume = "8", number = "9", pages = "641-5", }
