Identifying factors for statistical models to measure highway project disruptions

Oswald Chong, Jui Sheng Chou, Sang Hoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Highway projects are thought to be influenced by many different types of delays. Data collected from twenty-eight Texas highway projects over a two year period found that utilities conflicts, rain and shortage of materials are the only three significant disruptions. Research also found that most of the disruptions caused production to stop between one to five days while few had stoppages of more than ten days. This paper also found that productivity recovery from different types of delays was different and that learning effects had huge impact on the rate of recovery. The research identified several useful factors that could be used to develop statistical models to estimate delays on reinforced concrete pipes. First, rain related productivity delays could be estimated by differentiating clay content in soil. Second, utilities conflicts could be estimated by differentiating the types of utilities that were involved. Finally, the actions that were taken by the contractors could be used as factors to measure productivity recovery. The overall project delays could be estimated using these factors. These factors were also found to be extremely useful to resolute disputes on time claims due to disruptions.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress
EditorsI.D. Tommelein
Pages1069-1078
Number of pages10
StatePublished - 2005
Externally publishedYes
EventConstruction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress - San Diego, CA, United States
Duration: Apr 5 2005Apr 7 2005

Other

OtherConstruction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress
CountryUnited States
CitySan Diego, CA
Period4/5/054/7/05

Fingerprint

Productivity
Recovery
Rain
Concrete pipe
Contractors
Reinforced concrete
Clay
Soils
Statistical Models

Keywords

  • Delays
  • Disruptions
  • Factors affecting productivity
  • Reinforced Concrete Pipes

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Chong, O., Chou, J. S., & Lee, S. H. (2005). Identifying factors for statistical models to measure highway project disruptions. In I. D. Tommelein (Ed.), Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress (pp. 1069-1078)

Identifying factors for statistical models to measure highway project disruptions. / Chong, Oswald; Chou, Jui Sheng; Lee, Sang Hoon.

Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress. ed. / I.D. Tommelein. 2005. p. 1069-1078.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chong, O, Chou, JS & Lee, SH 2005, Identifying factors for statistical models to measure highway project disruptions. in ID Tommelein (ed.), Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress. pp. 1069-1078, Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress, San Diego, CA, United States, 4/5/05.
Chong O, Chou JS, Lee SH. Identifying factors for statistical models to measure highway project disruptions. In Tommelein ID, editor, Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress. 2005. p. 1069-1078
Chong, Oswald ; Chou, Jui Sheng ; Lee, Sang Hoon. / Identifying factors for statistical models to measure highway project disruptions. Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress. editor / I.D. Tommelein. 2005. pp. 1069-1078
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