In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed.
Adams, W. J., Saaty, R., & Saaty, T. L. (2003). Super Decisions Software Guide. Pittsburgh: RWS Publications.
Alwetaishi, M., Gadi, M., & Issa, U. H. (2017). Reliance of building energy in various climatic reions using multi criteria. International Journal of Sustinable Built Environment, 6, 555-564.
Amao, F. L. (2010). Housing quality in informal settlements and Urban upgrading in Ibadan, Nigeria. Developing Country Studies, 2(10), 68-80.
Banai, R. (2010). Evaluation of Landuse-Transportation Systems with the Analytic Network Process. Journal of Transport and Land Use, 3(1), 85-112.
Banar, M., Kose, B. M., Ozkan, A., & Acar, I. P. (2007). Choosing a municipal landfill site by Analytic Network Process. Environmental Geology, 52(4), 747-751.
Bottero, M., & Lami , I. M. (2010). Analytic Network Process and sustainable mobility: An application for the assessment of different scenarios. Journal of Urbanism, 3(3), 275-293.
BRG, B. R. (2019, February 3). A growing population in Egypt demands quality housing. Retrieved Nov. 17, 2019, from https://brusselsresearchgroup.org/index.php/2019/02/03/a-growing-population-in-egypt-demands-quality-housing/
Cheng, E. W., & Li, H. (2005). Analytic Network Process applied to project selection. Journal of Construction Engineering and Management, 131(4), 459-466.
Das, D. (2008). Urban quality of life: A case study of Guwahati. Social Indicators Research, 88(2), 297-347.
Eraqi, A. M. (2016). Development a fuzzy model to predict the index of urban development priorities of the parties to the Egyptian city in partnership between the Cooperative Trinity. Urban Planning and Architecture Design for Sustainable Development, UPADSD (pp. 129-140). Lecc,Italy: Social and Behavioral Sciences Procedia, ELSEVIER.
Eraqi, A. M., Issa, U. H., & Elminiawy, M. A. (2019). Supporting a Decision for Informal Settlements Development using the Analytical Network Process. International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), 6(6), 140-153.
ESCR-Net. (n.d.). The Right to Housing. Retrieved Nov. 17, 2019, from escr-net.org: https://www.escr-net.org/rights/housing
Fiadzo, E. D., Houston, J. E., & Godwin, D. D. (2001). Estimating housing quality for poverty and development policy analysis: CWIQ in Ghana. Social Indicators Research, 53(2), 137-162.
Hassan, N. (2019, February 28). Egypt’s Unrelenting Commodification of Housing. Retrieved Nov. 15, 2019, from Alternative Policy Solutions - aucegypt.edu: http://www.aps.aucegypt.edu/en/commentary-post/egypts-unrelenting-commodification-of-housing/
Hsu, P.-F., & Kuo, M.-H. (2011). Applaying the ANP Model for Selecting the Optimal Full-service Advertising Agency. International Journal of Operations Research,, Vol. 8, No. 4.
Human Rights, U. N. (n.d.). Elements of the right to adequate housing. Retrieved Nov. 17, 2019, from ohchr.org: https://www.ohchr.org/AR/Issues/Housing/toolkit/Pages/RighttoAdequateHousingToolkit.aspx
Hussey, L. K. (2014). Analytic Network Process (ANP) for Housing Quality Evaluation: A Case Study in Ghana. The University of Western Ontario, MSc.
Hussey, L. K. (2014). Analytic Network Process (ANP) for Housing Quality Evaluation: A Case Study in Ghana. Electronic Thesis and Dissertation Repository.
Ibem, E. O. (2012). Residents' perception of the quality of public housing in urban areas in Ogun State, Nigeria. International Journal of Quality & Reliability Management, 29(9), 1000-1018.
Issa, U. H., Ahmed, A., & Ugai, K. (2014). A decision support system forground improvement projects Using Gypsum waste – case study:embankments construction in Japan. Vol.4, No.1, 74–84.
jaap, M., & Michael, M. (2018, January 16). MENA Outlook. Retrieved Nov. 17, 2019, from Arqam Capital: http://research.arqaamcapital.com/getreportbysecuritytoken?token=77edf2ff-a2cc-4473-8658-c4fcf002c378
Jiboye, A. D. (2007). Use of Neighborhoods’ quality evaluation to determine the performance of residential development in Southwestern Nigeria. Elixir His. Pres, 34, 2427-2442.
Jiboye, D. (2010B). The correlates of public housing satisfaction in Lagos, Nigeria. Journal of Geography and Regional Planning, 3(2), 017-028.
Jiboye, D. A. (2010A). Evaluating the pattern of residential quality in Nigeria: The case of Osogbo Township. Facta Universitatis-Series: Architecture and Civil, 8(3), 307-316.
Kurian, S. M., & Thampuran, A. (2011). Assessment of Housing Quality. Institute of Town Planners, India Journal, 8(2), 74-85.
Kutty, N. K. (1999). Determinants of structural adequacy of dwellings. Journal of Housing Research, 10(1), 27-43.
Matthew, E. (2016, September 12). The 8 Biggest Factors that Affect Real Estate Prices. Retrieved Nov. 15, 2019, from Resources.point: https://resources.point.com/8-biggest-factors-affect-real-estate-prices/
Meng, G., & Hall, G. B. (2006). Assessing housing quality in metropolitan Lima,Peru. Journal of Housing and the Built Environment, 21(4), 413-439.
Mohit, M. A., Ibrahim, M., & Rashid, Y. R. (2010). Assessment of residential satisfaction in newly designed public low-cost housing in Kuala Lumpur, Malaysia. Habitat International, 34(1), 18-27.
Natividade, K. M., Piantanakulchai, M., & Antunes, C. H. (2007). A multicriteria decision support system for housing evaluation. Decision Support Systems, 43(3), 779-790.
Oswald, F., Wahl, H. W., Mollenkopf, H., & Schilling, O. (2003). Housing and life satisfaction of older adults in two rural regions in Germany. Research on Aging, 25(2), 122-143.
Pettinger, T. (2017, october 15). Factors that affect the housing market. Retrieved Nov. 15, 2019, from economicshelp.org: https://www.economicshelp.org/blog/377/housing/factors-that-affect-the-housing-market/
Rindfuss, R. R., Piotrowski, M., Thongthai, V., & Prasartkul, P. (2007). Measuring housing quality in the absence of a monetized real estate market. Population Studies, 61(1), 35-52.
Saaty, r. W. (2016). Decision making in complex environments, The analytic network process (ANP) for dependence and feedback. Pittsburgh,USA: RWS Publications.
Saaty, T. L., & Vargas, L. G. (2006). Decision Making with the Analytic Networking Process; Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks. New York: Springer.
Sabri, S., & Yaakup, A. (2008). Multi-criteria decision making for urban sprawl, using Analytic Network Process and GIS. Map Asia.
Satty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
Shawkat, Y. (2015, May 5). Egypt's Deregulated Property Market: A Crisis of Affordability. Retrieved Nov. 15, 2019, from Mei.edu: https://www.mei.edu/publications/egypts-deregulated-property-market-crisis-affordability
Spain, D. (1990). The effect of residential mobility and household composition on housing quality. Urban Affairs Review, 25(4), 659-683.
The World Bank, M. E. (2014). A data sheet for the project evaluation document for the comprehensive social housing finance program - Egypt. The World Bank.
Wang, W.-M., Lee, A. H., & Chang, D.-T. (2010). An integrated FDM–ANP evaluation model for sustainable development of housing community. Optimization Letters, 4, 239-257.
World bank. (2009). Affordable Mortgage Finance Program Development Policy Loan Program. World bank.
Zebardast, E. (2009). The housing domain of quality of life and life satisfaction in the spontaneous settlements on the Tehran metropolitan fringe. Social Indicators Research, 107(3), 307-324.
Zon, T., Su, Y., & Wang, Y. (2018). Research on the Hybrid ANP-FCE Approach of Urban Community Sustainable Construction Problem. Research Article, 2018, 10.