International Construction Law Review
IS IT TIME FOR ENGLISH LAW TO CONSIDER DISRUPTION ANALYSIS FOR SITE-OVERHEAD CLAIMS? THE CONTRAST OF COSTAIN V HASWELL AND WALTER LILLY V MACKAY
JB KIM
Senior Manager, Kroll, email jb.kim@kroll.com
MINO HAN
Partner, Peter & Kim, email MinoHan@peterandkim.com
PEER REVIEWED BY
Sang-Chul Kim, Partner, Bae, Kim & Lee LLC, email sangchul.kim@bkl.co.kr
ABSTRACT
Additional site-overheads, also referred to as prolongation costs, have been traditionally quantified based on daily time-related site-overheads multiplied by the compensable delay days pursuant to the delay analysis. However, this conventional method has multiple flaws and limitations in certain situations. Hence, as an alternative, a disruption analysis (focusing on additional resources at project activity level) is suggested. This quantum analysis methodology would potentially enable the Contractor, who is nowadays required a stricter standard of proof by the courts, to better discharge its burden of proof for damages.
But is the disruption analysis method fit and compatible under English law? This paper will review this issue in light of two landmark English court precedents (Costain case and Walter Lilly case) and further analyse and compare various approaches used in the US for quantifying additional site-overhead costs.
1. INTRODUCTION
In a construction dispute, additional site-overheads (also known as prolongation costs or thickening costs of preliminaries) are the most common types of costs sought by a contractor from an employer. Certain events may entitle the Contractor to recover additional site-overheads, including when an employer delays the project completion, disrupts the progress of works, and/or instructs additional works. Site-overheads are not project activity-related costs, which are allocated directly to particular activities carried out on site. Site-overheads generally include staff costs and site management costs, including costs for temporary offices, facilities,
Pt 4] Is it Time for English Law to Consider Disruption Analysis
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