Integrating GIS with f-AHP for locating a single facility
Abstract
Location selection problems stand out as popular research topics. Due to the popularity, different solution approaches emerged in the literature. Multi-criteria Decision Making (MCDM) techniques are examples of the solution approaches and they are frequently used because of their ordering capability in ranking the decision alternatives and success in representing decision makers’ experiences. On the other hand, Geographic Information Systems (GIS) is able to perform different spatial data analysis and provide geographic material. To reach a better decision, integration of experts’ opinions and certain geographic information derived from GIS is necessary. Within this context, in this paper, integration of the GIS abilities with Fuzzy Analytic Hierarchy Process (F-AHP) is discussed with two different integration methodologies for locating single facility. A hypothetical case study is provided to determine a location problem, which focuses on logistics activities. The results have shown that both proposed methodologies are able to order location alternatives in multiple criteria environments.
Keyword : spatial multi-criteria decision making, GIS, F-AHP, spatial analysis, spatial statistics, location analysis
How to Cite
Önden, İsmail. (2018). Integrating GIS with f-AHP for locating a single facility. Transport, 33(5), 1173-1183. https://doi.org/10.3846/transport.2018.6677
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Buckley, J. J. 1985. Fuzzy hierarchical analysis, Fuzzy Sets and Systems 17(3): 233–247. https://doi.org/10.1016/0165-0114(85)90090-9
Chiang, D.; Guo, R.-S.; Chen, A.; Cheng, M.-T.; Chen, C.-B. 2007. Optimal supply chain configurations in semiconductor manufacturing, International Journal of Production Research 45(3): 631–651. https://doi.org/10.1080/00207540600792499
Chou, T.-Y.; Hsu, C.-L.; Chen, M.-C. 2008. A fuzzy multi-criteria decision model for international tourist hotels location selection, International Journal of Hospitality Management 27(2): 293–301. https://doi.org/10.1016/j.ijhm.2007.07.029
Dağdeviren, M. 2008. Decision making in equipment selection: an integrated approach with AHP and PROMETHEE, Journal of Intelligent Manufacturing 19(4): 397–406. https://doi.org/10.1007/s10845-008-0091-7
Delgado, M. G.; Sendra, J. B. 2004. Sensitivity analysis in multicriteria spatial decision-making: a review, Human and Ecological Risk Assessment: An International Journal 10(6): 1173–1187. https://doi.org/10.1080/10807030490887221
Eldemir, F.; Onden, I. 2016. Geographical information systems and multicriteria decisions integration approach for hospital location selection, International Journal of Information Technology & Decision Making 15(5): 975–997. https://doi.org/10.1142/S0219622016500218
Elevli, B. 2014. Logistics freight center locations decision by using Fuzzy-PROMETHEE, Transport 29(4): 412–418. https://doi.org/10.3846/16484142.2014.983966
Erdogan, S.; Yilmaz, I.; Baybura, T.; Gullu, M. 2008. Geographical information systems aided traffic accident analysis system case study: city of Afyonkarahisar, Accident Analysis & Prevention 40(1): 174–181. https://doi.org/10.1016/j.aap.2007.05.004
ESRI. 2014. How hot spot analysis (Getis-Ord Gi*) works, in ArcGIS Help 10.2, 10.2.1, and 10.2.2. ArcGIS Resources.
ESRI, Redlands, California, US. Available from Internet: http://resources.arcgis.com/en/help/main/10.2/index.html#//005p00000011000000
Getis, A.; Ord, J. K. 1992. The analysis of spatial association by use of distance statistics, Geographical Analysis 24(3): 189–206. https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
Hecht, B.; Moxley, E. 2009. Terabytes of Tobler: evaluating the first law in a massive, domain-neutral representation of world knowledge, Lecture Notes in Computer Science 5756: 88–105. https://doi.org/10.1007/978-3-642-03832-7_6
Hsieh, T.-Y.; Lu, S.-T.; Tzeng, G.-H. 2004. Fuzzy MCDM approach for planning and design tenders selection in public office buildings, International Journal of Project Management 22(7): 573–584. https://doi.org/10.1016/j.ijproman.2004.01.002
Jankowski, P. 1995. Integrating geographical information systems and multiple criteria decision-making methods, International Journal of Geographical Information Systems 9(3): 251–273. https://doi.org/10.1080/02693799508902036
Jankowski, P. Richard, L. 1994. Integration of GIS-based suitability analysis and multicriteria evaluation in a spatial decision support system for route selection, Environment and Planning B: Urban Analytics and City Science 21(3): 323–340. https://doi.org/10.1068/b210323
Jenks, G. F. 1967. The data model concept in statistical mapping, International Yearbook of Cartography 7: 186–190.
Kampf, R.; Průša, P.; Savage, C. 2011. Systematic location of the public logistic centres in Czech Republic, Transport 26(4): 425–432. https://doi.org/10.3846/16484142.2011.635424
Kuo, R. J.; Chi, S. C.; Kao, S. S. 2002. A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network, Computers in Industry 47(2): 199–214. https://doi.org/10.1016/S0166-3615(01)00147-6
Levine, N. 2006. Crime Mapping and the CrimeStat program, Geographical Analysis 38(1): 41–56. https://doi.org/10.1111/j.0016-7363.2005.00673.x
Lin, C.-T. Tsai, M.-C. 2009. Development of an expert selection system to choose ideal cities for medical service ventures, Expert Systems with Applications 36(2): 2266–2274. https://doi.org/10.1016/j.eswa.2007.12.056
Malczewski, J. 1999. GIS and Multicriteria Decision Analysis. Wiley. 408 p.
Mon, D.-L.; Cheng, C.-H.; Lin, J.-C. 1994. Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight, Fuzzy Sets and Systems 62(2): 127–134. https://doi.org/10.1016/0165-0114(94)90052-3
Önden, İ.; Acar, A.; Eldemir, F. 2018. Evaluation of the logistics center locations using a multi-criteria spatial approach, Transport 33(2): 322–334. https://doi.org/10.3846/16484142.2016.1186113
Önden, İ.; Eldemir, F.; Çancı, M. 2015. Lojistik merkez kavrami ve yer seçimine etki eden karar kriterleri [Logistics center concept and location decision criteria], Sigma Journal Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi 33(3): 325–340. (in Turkish).
Özceylan, E.; Erbaş, M.; Tolon, M.; Kabak, M.; Durğut, T. 2016. Evaluation of freight villages: a GIS-based multi-criteria decision analysis, Computers in Industry 76: 38–52. https://doi.org/10.1016/j.compind.2015.12.003
Saaty, T. L. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill. 287 p.
Saaty, T. L. 2008. Decision making with the analytic hierarchy process, International Journal of Services Sciences 1(1): 83–98. https://doi.org/10.1504/IJSSCI.2008.017590
Soltani, A. Marandi, E. Z. 2011. Hospital site selection using twostage fuzzy multi-criteria decision making process, Journal of Urban and Environmental Engineering5(1): 32–43. https://doi.org/10.4090/juee.2011.v5n1.032043
Tobler, W. R. 1970. A Computer movie simulating urban growth in the Detroit region, Economic Geography 46: 234–240. https://doi.org/10.2307/143141
Truong, L. T.; Somenahalli, S. V. C. 2011. Using GIS to identify pedestrian-vehicle crash hot spots and unsafe bus stops, Journal of Public Transportation 14(1): 99–114. http://doi.org/10.5038/2375-0901.14.1.6
Vahidnia, M. H.; Alesheikh, A. A.; Alimohammadi, A. 2009. Hospital site selection using fuzzy AHP and its derivatives, Journal of Environmental Management 90(10): 3048–3056. https://doi.org/10.1016/j.jenvman.2009.04.010
Zolfani, S. H.; Esfahani, M. H.; Bitarafan, M.; Zavadskas, E. K.; Arefi, S. L. 2013. Developing a new hybrid MCDM method for selection of the optimal alternative of mechanical longitudinal ventilation of tunnel pollutants during automobile accidents, Transport 28(1): 89–96. https://doi.org/10.3846/16484142.2013.782567
Zucca, A.; Sharifi, A.M.; Fabbri, A.G. 2008. Application of spatial multi-criteria analysis to site selection for a local park: a case study in the Bergamo Province, Italy, Journal of Environmental Management 88(4): 752–769. https://doi.org/10.1016/j.jenvman.2007.04.026