Construction cost prediction model for conventional and sustainable college buildings in North America

被引:38
作者
Alshamrani, Othman Subhi [1 ]
机构
[1] Univ Dammam, Dept Bldg Engn, Coll Architecture & Planning, Al Dammam 31451, Saudi Arabia
关键词
Initial cost; Sustainability; College building; Regression model; RS Means; Normal distribution; Residual analysis; ANALYTIC HIERARCHY PROCESS; NEURAL-NETWORKS; REGRESSION-ANALYSIS; PROJECTS; DESIGN;
D O I
10.1016/j.jtusci.2016.01.004
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The literature lacks in initial cost prediction models for college buildings, especially comparing costs of sustainable and conventional buildings. A multi-regression model was developed for conceptual initial cost estimation of conventional and sustainable college buildings in North America. RS Means was used to estimate the national average of construction costs for 2014, which was subsequently utilized to develop the model. The model could predict the initial cost per square feet with two structure types made of steel and concrete. The other predictor variables were building area, number of floors and floor height. The model was developed in three major stages, such as preliminary diagnostics on data quality, model development and validation. The developed model was successfully tested and validated with real-time data. (C) 2016 The Author. Production and hosting by Elsevier B.V. on behalf of Taibah University.
引用
收藏
页码:315 / 323
页数:9
相关论文
共 27 条
[1]   Cost estimation for electric light and power elements during building design A neural network approach [J].
Aibinu, Ajibade A. ;
Dassanayake, Dharma ;
Chan, Toong-Khuan ;
Thangaraj, Ram .
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2015, 22 (02) :190-213
[2]   A case-based reasoning cost estimating model using experience by analytic hierarchy process [J].
An, Sung-Hoon ;
Kim, Gwang-Hee ;
Kang, Kyung-In .
BUILDING AND ENVIRONMENT, 2007, 42 (07) :2573-2579
[3]  
[Anonymous], 2004, APPL LINEAR STAT MOD
[4]  
[Anonymous], THESIS
[5]   A computer-based cost prediction model for institutional building projects in Nigeria An artificial neural network approach [J].
Bala, Kabir ;
Bustani, Shehu Ahmad ;
Waziri, Baba Shehu .
JOURNAL OF ENGINEERING DESIGN AND TECHNOLOGY, 2014, 12 (04) :518-529
[6]   Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry [J].
Cheng, Min-Yuan ;
Tsai, Hsing-Chih ;
Sudjono, Erick .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (06) :4224-4231
[7]   Web-based conceptual cost estimates for construction projects using Evolutionary Fuzzy Neural Inference Model [J].
Cheng, Min-Yuan ;
Tsai, Hsing-Chih ;
Hsieh, Wen-Shan .
AUTOMATION IN CONSTRUCTION, 2009, 18 (02) :164-172
[8]  
Gunaydin H. M., 2004, International Journal of Project Management, V22, P595, DOI 10.1016/j.ijproman.2004.04.002
[9]   CBR-based cost prediction model-II of the design phase for multi-family housing projects [J].
Hong, TaeHoon ;
Hyun, ChangTaek ;
Moon, HyunSeok .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (03) :2797-2808
[10]   Cost estimation model for building projects using case-based reasoning [J].
Ji, Sae-Hyun ;
Park, Moonseo ;
Lee, Hyun-Soo .
CANADIAN JOURNAL OF CIVIL ENGINEERING, 2011, 38 (05) :570-581