[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.6106/JCEPM.2014.4.4.009

A Neural Network Model for Building Construction Projects Cost Estimating

El-Sawalhi, Nabil Ibrahim (Depty Dean faculty of Engineering, The Islamic University-Gaza)
Shehatto, Omar (The Islamic University-Gaza)

Publication Information

Journal of Construction Engineering and Project Management / v.4, no.4, 2014 , pp. 9-16 More about this Journal

Abstract

The purpose of this paper is to develop a model for forecasting early design construction cost of building projects using Artificial Neural Network (ANN). Eighty questionnaires distributed among construction organizations were utilized to identify significant parameters for the building project costs. 169 case studies of building projects were collected from the construction industry in Gaza Strip. The case studies were used to develop ANN model. Eleven significant parameters were considered as independent input variables affected on "project cost". The neural network model reasonably succeeded in estimating building projects cost without the need for more detailed drawings. The average percentage error of tested dataset for the adapted model was largely acceptable (less than 6%). Sensitivity analysis showed that the area of typical floor and number of floors are the most influential parameters in building cost.

Keywords

Building construction projects; Artificial Neural Network; Gaza Strip; Cost estimation;

Citations & Related Records

Reference

1	G.-H. Kim, S.-H. An, K.-I.Kang, "Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning", Building and Environment, vol. 39, pp. 1235-1242, 2004. DOI ScienceOn
2	A. Rezaian, "Time-cost-quality-risk of construction and development projects or investment". Middle-East Journal of Scientific Research, vol. 1, no. 2, pp. 218-223, 2011.
3	M. Y. Cheng, H.-C. Tsai, E. Sudjono, "Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry", Expert Systems with Applications, vol. 37, pp. 4224-4231, 2010. DOI ScienceOn
4	Y. Al-Shanti, "A cost estimate system for Gaza Strip construction contractors", The Islamic University of Gaza Strip, Palestine, 2003.
5	Y. Wang, C. Yu, H. Chan, "Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models", International Journal of Project Management, vol. 30, pp. 470-478, 2012. DOI ScienceOn
6	S. Cavalieri, P. Maccarrone, R. Pinto, "Parametric vs. neural network models for the estimation of production costs: a case study in the automotive industry", International Journal of Production Economics, vol. 91, pp. 165-177, 2004. DOI ScienceOn
7	S. Elhag, H. Boussabaine, A. Ballal, "Critical determinants of construction tendering costs: quantity surveyors_ standpoint", International Journal of Project Management, vol. 23, no.7, pp. 538-545, 2005. DOI ScienceOn
8	B. Verlinden, R. Duflou, D. Collin, D. Cattrysse, "Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study", Journal of Construction Engineering and Management (ASCE), vol. 127, no. 2, pp. 93-100, 2007.
9	J. Long, "Parameteric cost estimating in the new millennium", 2006.
10	CEM, "Cost estimating manual for WSDOT projects", Washington State Department of Transport, 2008.
11	M. Gunaydin, Z. Dogan, "A neural network approach for early cost estimation of structural systems of buildings", International Journal of Project Management, vol. 22, pp. 595-602, 2004. DOI ScienceOn
12	M. Arafa, M. Alqedra, "Early stage cost estimation of buildings construction projects using ANN", Journal of Artifical Intelligence, vol. 4, no. 1, pp. 63-75, 2011. DOI
13	S., Dogan, "Using machine learning techniques for early cost estimation of structural systems of buildings", Izmir Institute of Technology, Izmir, 2005.
14	I. ElSawy, H. Hosny, M. Abdel Razek, "A Neural network model for construction projects site overhead cost estimating in Egypt". International Journal of Computer Science Issues, vol. 8, no. 1, 2011.
15	C. Willmott, K. Matsuura, "Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance", Climate Research, vol. 30, pp. 79-82, 2005. DOI
16	G. Weckman, H. Paschold, J. Dowler, H. Whiting, W. Young, "Using neural networks with limited data to estimate manufacturing cost", Journal of Industrial and Systems Engineering, vol. 3, no. 4, pp. 257-274, 2010.
17	T. Hegazy, A. Ayed, "Neural network model for parametric cost estimation of highway projects", Journal of Construction Engineering and Management, pp. 210-218, 1998.
18	M.W. Emsley, D.J., Lowe, A.R. Duff, A.Harding, A. Hickson, "Development of Neural Networks to predict Total Construction Costs", Journal of Construction Management and Economics, Taylor and Francis Group Ltd., no. 20, pp. 456-472, 2002.
19	J. Principe, C. Lefebvre, G. Lynn, C. Fancourt, D. Wooten,"NeuroSolution Help" , NeuroDimension, Inc, 2010.
20	P. Kshirsagar, N. Rathod, "Artificial neural network" in MPGI National Multi Conference 2012 proceedings, International Journal of Computer Applications, Maharashtra, 2012.
21	T. Hegazy, O. Moselhi, "Elements of cost estimation: "A survey in Canada and the United States", Cost Engineering, vol. 37, no.5, pp. 27-31, 1995.
22	Z. Dindar, "Artificial neural networks applied to option pricing", University of the Witwatersrand, Johannesburg, 2004.
23	N. Bakhary, K. Yahya, N. C. Nam, "Univariate artificial neural network in forecasting demand of low cost house in Petaling Jaya". Jurnal Teknologi, Vol. 40, pp. 67-75, 2004.
24	P. Samphaongoen, "A Visual approach to construction cost estimating. Marquette University", Milwaukee, Wisconsin, 2010.
25	P. Edara, "Mode choice modeling using artificial neural networks", Virginia Polytechnic Institute and State university, Virginia, 2003.
26	A. Enshassi, S. Mohamed, I. Madi,. "Cost estimation practice in the Gaza Strip: A case study", The Islamic University Journal, vol. 15, no. 2, pp. 153-176, 2007.
27	N. Sinclair, P. Artin, S. Mulford, "Construction cost data workbook", Conference on the International Comparison Program ,World Bank, Washington, D.C., 2002
28	H. Yaman, E. Tas, A building cost estimation model based on functional elements. Istanbul Technical University, Faculty of Architecture, Istanbul Turkey, ITU AIZ ,vol 4, no. 1, pp. 73-87, 2007.