Abstract
The Korean construction market is constantly observing residential development projects performed together by developers and contractors. Although the development cost of the overall project is high, there are no standard methods to help contractors make decisions as to whether to participate in these residential development projects or not. This study proposes a simple and efficient model to assist contractors to determine successful projects with a more standardized and objective decision process. To achieve this goal, 31 project assessment items were selected and their weights were updated by AHP method with more sample sizes. Several independent samples t-tests were also carried out to identify the significant factors that affect the contractor’s decision for residential development projects. Using multivariate discriminant analysis (MDA), a prediction model was developed with 109 residential development projects. The results indicated that 82% of the original grouped cases had been classified correctly. Cross validation showed that 81.5% of cross-validated grouped cases had been classified correctly. The simple and efficient model suggested in this study will help contractors make better decisions regarding whether to participate in the residential development projects or not.
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References
Chuah, J. W., Raghunathan, A., and Jha, N. K. (2013). “ROBESim: A retrofit-oriented building energy simulator based on EnergyPlus.” Energy and Buildings, Vol. 66, pp. 88–103, DOI: 10.1016/j.enbuild.2013.07.020.
Ochoa, C. E. and Capeluto, I. G. (2015). “Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings.” Renewable Energy, Vol. 78, pp. 498–508, DOI: 10.1016/j.renene.2015.01.036.
Capeluto, I. G. and Ochoa, C. E. (2014). “Simulation-based method to determine climatic energy strategies of an adaptable building retrofit façade system.” Energy, Vol. 76, pp. 375–384, DOI: 10.1016/j.energy. 2014.08.028.
Halawa, W. S., Abdelalim, A. M., and Elrashed, I. A. (2013). “Financial evaluation program for construction projects at the pre-investment phase in developing countries: A case study.” International Journal of Project Management, Vol. 31, No. 6, pp. 912–923, DOI: 10.1016/j.ijproman.2012.11.001.
Hong, Y. G. (2007). A study on the feasibility analysis factor model for housing development projects. MSc Thesis, Chung ang University, Seoul, Korea.
Huh, Y. K., Hwang, B. G., and Lee, J. S. (2012). “Feasibility analysis model for developer-proposed housing projects in the republic of Korea.” Journal of Civil Engineering and Management, Vol. 18, No. 3, pp. 345–355, DOI: 10.3846/13923730.2012.698911.
Jo, G. T. (2005). Leading leaders analytical decision making hierarchy, Dong hyun publisher. Seoul, Korea.
Ju, J. Y. (2002). Study of the feasibility analysis in urban redevelopment Project, MSc Thesis, Kyung Hee University, Seoul, Korea.
Kang, M. S. (1997). A Study on feasibility analysis in architectural planning phase, PhD Thesis, Seoul National University, Seoul, Korea.
Kim, M. H. (2005). A study on the method of the risk management in the real estate development project, Construction Economy Research Institute of Korea, Report 114, Seoul, Korea.
Koo, S. M. and Jeong, M. U. (2007). “A basic study on the current state and problems of feasibility study focused on the evaluation criteria of the existing relative researches.” Journal of Architectural Institute of Korea, Vol. 23, No. 9, pp. 79–88, ISSN:1226-9093.
Kwon, O. H. and Jeong, J. H. (2004). An analysis of construction firms feasibility study, Report104, Construction Economy Research Institute of Korea, Seoul, Korea.
Lam, K. C., Runeson, G., Ng, S. T., Hu, T. S., Cheung, S. O., and Deng, Z. M. (2001). “Capital budget planning practices of building contractors in Hong Kong.” Construction Management and Economics, Vol. 19 No. 6, pp. 569–576, DOI: 10.1080/01446190110054112.
Muralidharan, C., Anantharaman, N., and Deshmukh, S. G. (2002). “A multi-criteria group decision-making model for supplier rating.” Journal of Supply Chain Management, Vol. 38, No. 4, pp. 22–33, DOI: 10.1111/j.1745-493X.2002.tb00140.x.
Pisello, A. L. and Asdrubali, F. (2014). “Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies.” Applied Energy, Vol. 133, pp. 224–235, DOI: 10.1016/j.apenergy.2014.07.049.
Sin, U. S. (2005). Modeling for the feasibility study of apartment projects, PhD Thesis, Ho seo University, Asan, Korea.
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Kim, KS., Kim, SY., Kim, D.Y. et al. Multivariate discriminant analysis for assessing residential development projects from a contractor’s perspective. KSCE J Civ Eng 21, 1069–1075 (2017). https://doi.org/10.1007/s12205-016-0783-z
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DOI: https://doi.org/10.1007/s12205-016-0783-z