The Location Selection For New Urban Area; A Case Study Real Estate Business New Location In Phnom Penh Based On Ahp Method

Lach Vutheachiva, Narat Hasachoo, Pornwasin Sirisawat


Urban planning and location selection for new urban area has become the challenging issues. Selection of best potential location for new urban area development allows the socio-economic benefits of urbanization providing vibrant and livable urban spaces. The study aims to determine the criteria for selecting new location for urban areas in Phnom Penh, Capital city of Cambodia. It also identified and selected the alternative area that has higher potential for new urban area using AHP method. Five main criteria and three areas in Phnom Penh were selected with the in-depth interview from nine experts from nine real estate companies and two experts from ministry of Land Management, Urban Planning and Construction. With the structured questionnaires, data were also collected from 12 experts. The AHP method selected alternative 2 (CHROUY CHANGVAR ) as the best location for new urban area. Amongst the main criteria, it showed that Political factors is the most importance factors with the weight of (42.2%). It was followed by Locational factors (26.7), Demographic factors (18.6%), Neighbor factors (7.2%) and Environmental factors (5.3%). These results can be used for planning new location selection for new urban and cities.

Full Text:



Akalin, M., Turhan, G., & Sahin, A. (2016). The application of AHP approach for evaluating location selection elements for retail store: a case of clothing store. International Journal of Research in Business and Social Science (2147-4478), 2(4), 1-20.

Baker, Judy L.; Kikutake, Natsuko; Lin, Sarah Xinyuan; Johnson, Erik Caldwell; Yin, Soriya; Ou, Narya. (2017), Urban development in Phnom Penh (English). Washington, D.C.: World Bank Group.

Corner, J., Buchanan, J., & Henig, M. (2001). Dynamic decision problem structuring. Journal of Multi‐Criteria Decision Analysis, 10(3), 129-141.

Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Expert systems with applications, 38(11), 14336-14345.

Lee, W. S. (2014). A new hybrid MCDM model combining DANP with VIKOR for the selection of location—real estate brokerage services. International Journal of Information Technology & Decision Making, 13(01), 197-224.

Lieser, K., & Groh, A. P. (2014). The determinants of international commercial real estate investment. The Journal of Real Estate Finance and Economics, 48(4), 611-659.

Oloke, C. O., Simon, R. F., & Adesulu, A. F. (2013). An examination of the factors affecting residential property values in Magodo neighbourhood, Lagos state. International Journal of Economy, Management and Social Sciences, 2(8), 639-643.

Podor, A., & Nyiri, J. (2010). GIS application in real estate investment.

Rymarzak, M., & Siemińska, E. (2012). Factors affecting the location of real estate. Journal of Corporate Real Estate, 14(4), 214-225.

Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234-281.

Smersh, G., Smith, M., & Schwartz Jr, A. (2003). Factors affecting residential property development patterns. Journal of Real Estate Research, 25(1), 61-76.

World Bank Group. (2018). Cambodia Economic Update, April 2018: Recent Economic Developments and Outlook. World Bank, Phnom Penh. © World Bank. License: CC BY 3.0 IGO.”

Yoo, K. E., & Choi, Y. C. (2006). Analytic hierarchy process approach for identifying relative importance of factors to improve passenger security checks at airports. Journal of Air Transport Management, 12(3), 135-142.

Zeng, T. Q., & Zhou, Q. (2001). Optimal spatial decision-making using GIS: a prototype of a real estate geographical information system (REGIS). International Journal of Geographical Information Science, 15(4), 307-321.


  • There are currently no refbacks.