Impact of Risk on Design-Build Selection for Highway Design and Construction Projects

Dai Q. Tran · Keith R. Molenaar

74 citations0/0 files storedJournal of Management in Engineering

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Construction Project Management and Performance Public-Private Partnership Projects Value Engineering and Management

Abstract

The design-build (DB) project delivery method continues to grow as a viable alternative delivery method for highway projects. The primary reason for selecting DB delivery is to take advantage of the time savings inherent in the process. However, because of low levels of design at the time of contract awards, DB contracts often carry more risks and uncertainties than other contracts, which makes the decision to select DB delivery complex. Applying risk analysis strategies and tools to the delivery selection process will help decision makers evaluate and select the DB delivery method consistently and defensibly. This paper examines 39 generic risk factors related to the DB delivery selection process. These risks were identified through previous research and risk analysis workshops on transportation projects worth more than $10 billion. To explore how these risks impact DB delivery selection, a questionnaire was developed to collect data from a national cross section of professionals with an average of 25 years of experience related to risk and project delivery methods in the transportation industry. An exploratory factor analysis was used to investigate the relationship between DB delivery selection and the 39 generic risk factors. The results indicate that seven delivery selection risk factors have the most influence on DB delivery selection: (1) scope risk; (2) third-party and complexity risk; (3) construction risk; (4) utility and right-of-way (ROW) risk; (5) level of design and contract risk; (6) management risk; and (7) regulation and railroad risk. This study compares risk preferences of public owners and design-builders for choosing DB delivery. Understanding these risk factors will help professionals not only select DB for appropriate projects but also allocate risks more properly in DB contracts.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 74 citations exist upstream.

References

2020Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis 1999Evaluating the use of exploratory factor analysis in psychological research.1978Factor Analysis: Statistical Methods and Practical Issues 2009Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from Your Analysis 1978Factor Analysis 1998Comparison of U.S. Project Delivery Systems 1990Treating ordinal scales as interval scales: an attempt to resolve the controversy.2009Empirical Comparison of Design/Build and Design/Bid/Build Project Delivery Methods

Cited by

2017Impact of Design Risk on the Performance of Design-Build Projects 2015Risk-Based Project Delivery Selection Model for Highway Design and Construction 2017A survey of critical success factors for attracting private sector participation in water supply projects in developing countries 2020Critical Review of the Evolution of Project Delivery Methods in the Construction Industry 2018Claims and Project Performance between Traditional and Alternative Project Delivery Methods

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.