A GIS-Based Multicriteria Decision Analysis Approach for Mapping Accessibility Patterns of Housing Development Sites: A Case Study in Canmore, Alberta

DOI: 10.4236/jgis.2011.31004   PDF   HTML     11,493 Downloads   22,607 Views   Citations


This paper presents a Geographic Information System (GIS) based multicriteria decision analysis approach for mapping accessibility patterns of housing development sites in Canmore, Alberta. The approach involves integrating two multicriteria decision methods (Analytical Hierarchy Process and Ordered Weighted Aver-aging) in a raster GIS environment, and incorporating the linguistic quantifier concept as a method for ob-taining the order weights. The approach facilitates a wide range of location (decision) strategies to be gener-ated and examined. The aim of the study is to help the housing development authorities in addressing the uncertainty involved in the decision making process, achieving a better understanding of the alternative ac-cessibility patterns. It also assists the authorities in evaluating and prioritizing the potential housing devel-opment sites in terms of accessibility levels.

Share and Cite:

Y. Meng, J. Malczewski and S. Boroushaki, "A GIS-Based Multicriteria Decision Analysis Approach for Mapping Accessibility Patterns of Housing Development Sites: A Case Study in Canmore, Alberta," Journal of Geographic Information System, Vol. 3 No. 1, 2011, pp. 50-61. doi: 10.4236/jgis.2011.31004.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] P. L. Knox, “Measure of Accessibility as Social Indicators: A Note,” Social Indicators Research, Vol. 7, No. 4, 1980, pp. 367-377. doi:10.1007/BF00305607
[2] G. Sénécal, “Urban Spaces and Quality of Life: Moving beyond Normative Ap-proaches,” Policy Research Initiative, Vol. 5, No. 1, 2002, pp. 306-318.
[3] K. E. Smoyer-Tomic, J. Hewko and M. J. Hodgson, “Spatial Accessibility and Equity of Playgrounds in Edmonton,” The Canadian Geographer, Vol. 48, No. 3, 2004, pp. 287-302.
[4] doi:10.1111/j.0008-3658.2004.00061.x
[5] S. Nicholls, “Measuring the Accessibility and Equity of Public Parks: A Case Study Using GIS,” Managing Leisure, Vol. 6, No. 4, 2001, pp. 201-219. doi:10.1080/13606710110084651
[6] M. Q. Dalvi, “Behav-ioural Modelling, Accessibility, Mobility and Need: Concepts and Measurement”, In: D. A. Hensher and P. R. Stopher, Eds., Behavioural Travel Modelling, Croom Helm, London, 1978, pp. 639-653.
[7] D. M. McAllister, “Equity and Efficiency in Public Facility Location,” Geographical Analysis, Vol. 8, 1976, pp. 47-63. doi:10.1111/j.1538-4632.1976.tb00528.x
[8] R. Morrill and S. Symons, “Efficiency and Equity Aspects of Op-timum Location,” Geographical Analysis, Vol. 9, 1977, PP. 215-225.
[9] R. L. Hodgart, “Optimizing Access to Public Services,” Progress in Human Geography, Vol. 2, 1978, pp. 17-48.
[10] Jong and J. R. Eck, “Location Profile Based Measures as an Improvement on Accessibility Modelling in GIS,” Computers, Environment and Urban Systems, Vol. 20, No. 3, 1996, pp. 181-190. doi:10.1016/S0198-9715(96)00013-0
[11] G. Shen, “Measur-ing Accessibility of Housing to Public-Community Facilities Using Geographical Information Systems,” Review of Urban and Regional Development Studies, Vol. 14, No. 3, 2002, pp. 235-255. doi:10.1111/1467-940X.00056
[12] X. Zhu, S. Liu and M. Yeow, “Accessibility Analysis for Housing Development in Singapore with GIS and Multi-Criteria Analysis Methods,” Applied GIS, Vol. 2, No. 2, 2006, pp. 13.1-13.12.
[13] P. Ap-paricio and A. Seguin, “Measuring the Accessibility of Ser-vices and Facilities for Residents of Public Housing in Mon-tréAl,” Urban Studies, Vol. 43, No. 1, 2006, pp. 187-211. doi:10.1080/00420980500409334
[14] J. Malczewski, “GIS and Multicriteria Decision Analysis,” John Wiley and Sons, New York, 1999.
[15] T. L. Saaty, “The Analytic Hierarchy Process,” McGraw-
[16] -Hill, New York, 1980.
[17] R. R. Yager, “On Ordered Weighted Averaging Aggregation Opera-tors in Multicriteria Decision Making,” IEEE Transactions on Systems, Man and Cybernetics, Vol. 18, No. 1, 1988, pp. 183-190. doi:10.1109/21.87068
[18] S. Carver, “Integrating Multicriteria Evaluation with GIS,” International Journal of Geographical Information Science, Vol. 5, No. 3, 1991, pp. 321-339. doi:10.1080/02693799108927858
[19] J. M. C. Pereira and L. Duckstein, “A Multiple Criteria Decision Making Approach to GIS-Based Land Suitability Evaluation,” International Journal of Geographical Information Systems, Vo. 7, No. 5, 1993, pp. 407-424. doi:10.1080/02693799308901971
[20] F. Joerin, M. C. Rey, A. Nembrini and G. Desthieux, “Informationet Participation pour L’Amenagement du Territoire,” Revue Internationale de Geomatique, Vol. 11, No. 3/4, 2001, pp. 309-332.
[21] R. Banai, “Fuzziness in Geographical Information Systems: Contribution from the Analytic Hierarchy Process,” International Journal of Geographical Information Science, Vol. 7, No. 4, 1993, pp. 315-329. doi:10.1080/02693799308901964
[22] E. H. Forman and S. I. Gass, “The Analytic Hierarchy Process: An Exposition,” Operations Research, Vol. 49, No. 4, 2001, pp. 469-486. doi:10.1287/opre.49.4.469.11231
[23] K. Habibi, S. Lotfi and M. J. Koohsari, “Spatial Analysis of Urban Fire Station Locations by Integrating AHP Model and IO Logic Using GIS,” Journal of Applied Sciences, Vol. 8, No. 19, 2008, pp. 3302-3315. doi:10.3923/jas.2008.3302.3315
[24] H. Deng, “Multi-Criteria Analysis with Fuzzy Pairwise Comparisons,” International Journal of Approximate Reasoning, Vol. 21, 1999, pp. 215-231. doi:10.1016/S0888-613X(99)00025-0
[25] R. R. Yager, “On the Inclusion of Importances in OWA Aggregation,” In: R. R.Yager and J. Kacprzyk, Eds., The Ordered Weighted Averaging Operators: Theory and applications, Kluwer Academic Publishers, Boston, 1997, pp. 41-59.
[26] L. A. Zadeh, “A Computational Approach to Fuzzy Quantifiers in Natural Languages,” Computers and Mathematics with Applications, Vol. 9, No. 1, 1983, pp. 149-184. doi:10.1016/0898-1221(83)90013-5
[27] R. R. Yager, “Quantifier Guided Aggregation Using OWA Operators,” International Journal of Intelligent Systems, Vo. 11, No. 1, 1996, pp. 49-73. doi:10.1002/(SICI)1098-111X(199601)11:1<49::AID-INT3>3.3.CO;2-L
[28] J. Malczewski, “Ordered Weighted Averaging with Fuzzy Quantifiers: GIS-Based Multicriteria Evaluation for Land-Use Suitability Analysis,” International Journal of Applied Earth Observation and Geoinformation, Vol. 8, No. 4, 2006, pp. 249-268.
[29] H. Jiang and J. R. Eastman, “Application of Fuzzy Measures in Multi-Criteria Evaluation in GIS,” International Journal of Geographical Information Systems, Vol. 14, No. 2, 2000, pp. 173-184. doi:10.1080/136588100240903
[30] S. Boroushaki and J. Malczewski, “Implementing an Extension of the Analytical Hierarchy Process Using Ordered Weighted Averaging Operators with Fuzzy Quantifiers in Arcgis,” Computers and Geosciences, Vol. 34, No. 4, 2008, pp. 399-410.
[31] doi:10.1016/j.cageo.2007.04.003
[32] R. R. Yager and A. Kelman, “An Extension of the Analytical Hierarchy Process Using OWA Operators,” Journal of Intelligent and Fuzzy Systems, Vol. 7, No. 4, 1999, pp. 401-417.
[33] ESRI, “Using Arcgis Spatial Analyst: Arcgis 9.1,” ESRI Press, 2004.

comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.