Identifying factors for statistical models to measure highway project disruptions

Construction Research Congress 2005: Broadening Perspectives - Proceedings of the Congress

Volumn , Issue , 2005, Pages 1069-1078

  Chong, Wai Kiong ^a   Chou, Jui Sheng ^a   Lee, Sang Hoon ^b  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b UNIVERSITY OF HOUSTON   (United States)

Author keywords

Delays; Disruptions; Factors affecting productivity; Reinforced Concrete Pipes

Indexed keywords

DELAYS; DISRUPTIONS; FACTORS AFFECTING PRODUCTIVITY; REINFORCED CONCRETE PIPES;

CONTRACTS; DATA REDUCTION; HIGHWAY ENGINEERING; INDUSTRIAL RESEARCH; PRODUCTIVITY; PROJECT MANAGEMENT; STATISTICAL METHODS;

MATHEMATICAL MODELS;

EID: 27644479447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Bubshait, A. A. and Cunningham, M. J. (1998). Comparison of Delay Analysis Methodologies, Journal of Construction Engineering and Management, 124 (315), pp 60-65.
2. Kartam, Saied (1999). Generic Methodology for Analyzing Delay Claims, Journal of Construction Engineering and Management, 125(409), pp 411-419.
3. Majid, M. Z. Abd. and McCaffer, R (1998). Factors of Non-Excusable Delays That Influence Contractors' Performance, Journal of Management in Engineering, 14(42), pp 42-49.
4. Shi, J. Jinsheng, Cheung, S.O. and Arditi, D. (2001). Construction Delay Computation Method, Journal of Construction Engineering and Management, 127 (60), pp 60-65.
5. Thomas, H. R. and Zavrski, I. (1999), Construction Baseline Productivity: Theory and Practice, Journal of Construction Engineering and Management, 125 (5), pp 295-303.
6. Wideman, R. M. (1994). Applying Loading, Production & Learning Curves to Construction: A Pragmatic approach, Canadian Journal of Civil Engineering, 21 (9), pp 939-953.