Correlating the quantity and bid cost of unit price items for public road projects

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• 作者：Pramen P. Shrestha ; Nipesh Pradhananga ; Nirajan Mani
• 关键词：Design ; Bid ; Build ; change orders ; bid cost ; unit price items ; road projects
• 刊名：KSCE Journal of Civil Engineering
• 出版年：2014
• 出版时间：September 2014
• 年：2014
• 卷：18
• 期：6
• 页码：1590-1598
• 全文大小：312 KB
• 参考文献：1. Albano, G. L., Bianchi, M., and Spagnolo, G. (2006). / Bid average methods in procurement, Munich Personal RePEc Archive.
  2. Baalousha, Y. and Celik, T. (2011). “An integrated Web-Based Data warehouse and artificial neural networks system for unit price analysis with inflation adjustment.- / Journal of Civil Engineering and Management, Vol. 17, No. 2, pp. 157-67. CrossRef
  3. Basavaraj, V. M. (2011). / Influence of bid quantity on asphalt unit prices in the state of oklahoma, MSc Thesis, Oklahoma State University, USA.
  4. Bijari, H. B. (2010). / A competitive bidding decision-making model considering correlation, MSc Thesis, Ryerson University, Canada.
  5. Byrnes, J. E. (2002). / Best practices for highway project cost estimating, MSc Thesis, Arizona State University, USA.
  6. Chou, J. S., Peng, M., Persad, K. R., O’Connor, J. T., and Khwaja, N. (2006). “Quantity-based approach to preliminary cost estimates for highway projects.- / J. Trans. Res. Rec., No. 1946, pp. 22-0. CrossRef
  7. Chua, D. K. H. and Li, D. (2000). “Key factors in bid reasoning model.- / J. Constr. Engrg. Manage., Vol. 126, No. 5, pp. 349-57. CrossRef
  8. Dogan, S. Z., Arditi, D., and Gunaydin, H. M. (2006). “Determining attribute weights in a CBR model for early cost prediction of structural systems.- / Journal of Construction Engineering Management, Vol. 132, No. 10, pp. 1092-098. CrossRef
  9. Engineering News Record Data (ENR) (2010). / General contracting cost book, Vol. 1, McGraw Hill Construction, New York, USA.
  10. Flyvbjerg, B., Holm, M. S., and Buhl, S. (2002). “Understanding costs in public works projects -Error or Lie?.- / J. Amer. Plann. Assoc., Vol. 68, No. 3, pp. 279-95. CrossRef
  11. Gransberg, D. D. and Riemer, C. (2009). “Impact of inaccurate engineer’s estimated quantities on unit price contracts.- / Journal of Construction Engineering and Management, Vol. 135, No. 11, pp. 1138-145. CrossRef
  12. Ji, S. H., Park, M., and Lee, H. S. (2010). “Data preprocessing-based parametric cost model for building projects: Case studies of korean construction projects.- / Journal of Construction Engineering and Management, Vol. 136, No. 8, pp. 844-53. CrossRef
  13. Kang, C., Lee, G., Kim, K., and Kim, K. (2008). “Approximate estimating model using the case based reasoning-PSC BEAM bridge.- / Proceeding Korea, Institute of Construction Engineering and Management, Seoul, Korea.
  14. Kim, B. S. (2011). “The approximate cost estimating model for railway bridge project in the planning phase using CBR Method.- / KSCE Journal of Civil Engineering, KSCE, Vol. 15, No. 7, pp. 1149-159. CrossRef
  15. Kim, B. S. and Hong, T. (2012). “Revised case-based reasoning model development based on multiple regression analysis for railroad bridge construction.- / Journal of Construction Engineering and Management, Vol. 138, No. 1, pp. 154-62. CrossRef
  16. Kim, G. and Kang, K. (2004). “A study on predicting construction cost of apartment housing projects based on case based reasoning technique at the early project stage.- / J. Arch. Inst. Korea, Vol. 20, No. 5, pp. 83-2.
  17. Kim, J., Kim, S., and Kang, K. (2004a). “Comparing accuracy of prediction cost estimation using case-based reasoning and Neural networks.- / J. Arch. Inst. Korea, Vol. 20, No. 5, pp. 93-02.
  18. Kim, J., Park, U., Kim, G., and Kim, J. (2004b). “A study on the selection model of retaining wall methods using case-based reasoning.- / J. Korea Inst. Constr. Eng. Manage., Vol. 5, No. 5, pp. 76-3.
  19. Kim, M., Lee, S., Woo, S., and Shin, D. H. (2012). “Approximate cost estimating model for river facility construction based on case-based reasoning with genetic algorithms.- / KSCE Journal of Civil Engineering, KSCE, Vol. 16, No. 3, pp. 283-92. CrossRef
  20. Lee, J. (2006). “A study on developing a case-based forecasting model for monthly expenditures of residential building projects.- / J. Korea Inst. Constr. Eng. Manage, Vol. 7, No. 2, pp. 128-37.
  21. Li, S., Foulger, J. R., and Philips, P. W. (2008). “Analysis of the impacts of the number of bidders upon bid values: Implications for contractor prequalification and project timing and bundling.- / J. Publ. Works Manage. Policy, No. 12, pp. 503-14. CrossRef
  22. Lowe, D. J., Emsley, M. W., and Harding, A. (2006). “Predicting construction cost using multiple regression techniques.- / J. Constr. Eng. Manage., Vol. 132, No. 7, pp. 750-58. CrossRef
  23. Peng, M. (2006). / Item-level quantity-based preliminary cost estimating system for highway structures and miscellaneous construction, PhD Thesis, The University of Texas at Austin, Austin, TX, USA.
  24. Sanders, S. R., Maxwell, R. R., and Glagola, C. R. (1992). “Preliminary estimating models for infrastructure projects.- / J. Cost Engrg., Vol. 34, No. 8, pp. 7-3.
  25. Shrestha, P. P. and Pradhananga, N. (2010). “Correlating bid price with number of bidders and final construction cost of public street projects.- / J. Trans. Res. Rec., No. 2151, pp. 3-0. CrossRef
  26. Sonmez, R. and Ontepeli, B. (2009). “Predesign cost estimation of urban railway projects with parametric modeling.- / Journal of Civil Engineering and Management, Vol. 15, No. 4, pp. 405-09. CrossRef
  27. Williams, T. P. (2003). “Predicting final cost for competitively bid construction projects using regression models.- / International Journal of Project Management, Vol. 21, pp. 593-99. CrossRef
  28. Wilmot, C. G., and Cheng, G. (2003). “Estimating future highway construction costs.- / J. Constr. Engrg. Manage., Vol. 129, No. 3, pp. 272-79. CrossRef
  
• 作者单位：Pramen P. Shrestha (1)
  Nipesh Pradhananga (2)
  Nirajan Mani (3)
  
  1. Dept. of Civil and Environmental Engineering and Construction, University of Nevada Las Vegas, Las Vegas, USA
  2. Florida International University, Miami, Florida, USA
  3. Durham School of Architecture Engineering and Construction, University of Nebraska, Lincoln, Lincoln, USA
  
• ISSN：1976-3808

文摘

In the United States, the majority of public road projects are constructed using the Design-Bid-Build (DBB) method. DBB projects are procured by government agencies typically through the competitive bidding process. In DBB projects, the early estimates of probable cost of road projects is one of the major factors in making decision regarding which projects proceed to the bidding stage. The final cost of the project will be fixed based on the bid amount of the contractor. If the cost of the project can be estimated based on the bid cost from the historical data, the estimated amount will be more accurate. This study attempted to determine the bid cost of projects by analyzing the bid data of 151 DBB road projects undertaken by the Clark County Department of Public Works in southern Nevada from 1991 through 2008. The total value of construction was equivalent to $841 million when converted into a June 2011 base cost. This study developed regression models to predict a future project’s bid cost of unit price items, based on the quantities of items. The validation of models also showed that these models predicted the unit bid cost accurately. These models will assist in assessing the effect of quantity in accurately estimating the cost of the unit price items and reduce variances that result in large discrepancies between engineers-estimates and actual bid-award amounts.