INVESTIGATING FACTORS INFLUENCING RESIDENTIAL LOCATION CHOICE USING PLS-SEM ANALYSIS: A CASE STUDY IN SEBERANG PERAI, PENANG, MALAYSIA
DOI:
https://doi.org/10.21837/pm.v23i36.1728Keywords:
PLS-SEM, Residential Location Choice, Accessibility, House Quality, Layout, Neighbourhood Feature, Social RelationsAbstract
Individuals often select their residence based on the availability of land and housing on the market and by taking into consideration of various factors involved. This is known as residential location choice. The inconsistency in earlier studies regarding modelling residential location choice persists despite numerous attempts made from a multidisciplinary background. As a result, it is difficult to understand the factors influencing residential location choice. By using PLS-SEM, this study seeks to understand the factors influencing residential location choice. Four hundred eighty-four heads of household in Seberang Perai provided primary data for the study. SMART-PLS software version 3.0 was used to assist in the PLS-SEM analysis. The results showed that social relations, neighbourhood features, and housing quality are the significant factors influencing residential location choice in Seberang Perai. These results serve as a guide for future research that considers variables from the economic, geographical, and social perspectives when examining the factors that influence residential location choice. A model of residential location choice that considers social, geographical, and economic factors can assist in creating agile cities by enabling planners to design flexible, inclusive urban environments that adapt to changing needs and conditions.
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References
Aliyu, S. J., Shaibu, S. I., Medayese, S. O., Bala, M. K., & Ajayi, M. T. A. (2018). Analysis Of Factors Influencing Choice of Residential Location in Minna, Nigeria. International Journal of Innovative Research and Advanced Studies, 5(6), 162–166.
Alonso, W. (1960). A Theory of the Urban Land Market. Papers and Proceedings of the Regional Science Association, 6(1), 149-157.
Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Lawrence Erlbaum Associates.
Ellickson, B. (1981). An alternatice test of the hedonic theory of housing markets. Journal of Urban Economics, 9(1), 56–79.
Evans, A. W. (1973). The economics of residential location. The Macmillan Press Ltd.
Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications, Inc.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–151. https://doi.org/10.2753/MTP1069-6679190202
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Huri, N., Baharum, Z. A., Hwa, T. K., Adnan, Y. M., & Ishak, N. F. A. (2024). a Conceptual Paper on Stigmatised Dimension Towards Residential Overhang. Planning Malaysia, 22(3), 379–393. https://doi.org/10.21837/pm.v22i32.1514
Hurtubia, R., Gallay, O., & Bierlaire, M. (2010). Attributes of households, locations and real-estate markets for land use modeling. In SustainCity.
Jin, J., & Lee, H.-Y. (2017). Understanding residential location choices: an application of the UrbanSim residential location model on Suwon, Korea. International Journal of Urban Sciences, 22(2), 1–20. https://doi.org/10.1080/12265934.2017.1336469
Lawton, P., Murphy, E., & Redmond, D. (2013). Residential preferences of the ‘creative class’? Cities, 31, 47–56. https://doi.org/10.1016/j.cities.2012.04.002
Lowry, I. S. (1964). A model of metropolis.
Michal, G., & Bartlomiej, M. (2017). Discrete choice model of residential location in Krakow. Journal of European Real Estate Research, 10(1), 4–16.
Muth, R. F. (1969). Cities and housing. University of Chicago Press.
Nkeki, N. F., & Erimona, E. O. (2018). Sector-Wise Exploratory Analysis of Household Residential Location Choice in the African Context: Empirical Evidence from Benin City, Nigeria. Current Urban Studies, 6, 37–69. https://doi.org/10.4236/cus.2018.61003
Pagliara, F., Preston, J., & Simmonds, D. (Eds.). (2010). Residential Location Choice: Models and Applications. Springer. https://doi.org/10.1007/978-3-642-17940-2
Ramli, N. A., Zainol, N. N., Sukereman, A. S., & Ishak, N. A. (2024). Exploring Issues and Enhancing Sustainability: Affordable Housing Dynamics in Malaysia. Planning Malaysia, 22(5), 376–390. https://doi.org/10.21837/pm.v22i34.1596
Rosli, H., Bakar, M. A. A., Yusoh, M. P., Latip, N. A., & Mansor, K. (2024). Assessing job-housing balance among low-income households in penang island, malaysia. Planning Malaysia, 22(6), 157–170.
Rosli, H., Samat, N., & Bakar, M. A. A. (2024). Accessibility To Workplace and Housing Location Choice Among the Low-Income Group: a Case Study of Pulau Pinang, Malaysia. Planning Malaysia, 22(1), 96–109. https://doi.org/10.21837/pm.v22i30.1426
Rossi, P. H. (1955). Why families move? The Free Press.
Samat, N., & Mahamud, M. A. (2017). Simulating Urban Growth in the George Town Conurbation. Journal of Fundamental and Applied Sciences, 9(7S), 144–156. https://doi.org/10.1016/j.jco.2005.11.005
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