TY - JOUR
T1 - Public-Private Partnerships
T2 - a Dynamic Discrete Choice Model for Road Projects
AU - Zhao, Jianfeng
AU - Liu, Henry
AU - Love, Peter
AU - Greenwood, David
AU - Sing, Michael C.P.
N1 - Funding Information:
The authors would like to acknowledge the financial support from the Research Development Fund administrated by Northumbria University , United Kingdom ( RDF18ABELIU ).
Funding Information:
David J. Greenwood is full professor of construction management at Northumbria University, UK. He graduated from Cambridge University and his postgraduate qualifications include an MSc in Construction Management (Herriot-Watt University), and a PhD from Reading University. He is a Fellow of the Chartered Institute of Building and was a board member of Constructing Excellence North East from 2003 to 2007. David has authored over 150 publications, has held research funding from the EPSRC, AHRC, UK and international government agencies, and has carried out training and consultancy work for industrial and professional organizations in the UK, continental Europe, the Far East, and Middle East.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/8
Y1 - 2022/8
N2 - Public-Private Partnerships (PPPs) are an effective vehicle for delivering critical infrastructure worldwide, particularly road transport assets (e.g., bridges, toll roads and tunnels). However, PPPs have been and continue to be controversial forms of project delivery as there are concerns about their ability to provide taxpayers with value for money (VfM). Current practice to determine VfM focuses on a ‘simplistic’ ex-ante evaluation referred to as the Public Sector Comparator (PSC), aiming to take a life-cycle approach to cost and benefits assessment. However, the complexity of transport projects renders the PSC ineffective and static evaluation of cost and benefits across their life-cycle. Therefore, the PSC cannot accommodate a project's environment's dynamic and changing nature. Acknowledging the limitations of the PSC, we develop and examine a dynamic discrete choice model that can be used to provide a VfM assessment for ‘road projects’. By validating the proposed model using two illustrative cases, the results suggest it can capture a more comprehensive assessment of cost components, functionality, and benefits specific to road projects and quantify the relationship between the consideration of different assessment elements and choice utility. Therefore, utilising the new model to assess VfM can enable policymakers to make more informed decisions about the employment of PPPs.
AB - Public-Private Partnerships (PPPs) are an effective vehicle for delivering critical infrastructure worldwide, particularly road transport assets (e.g., bridges, toll roads and tunnels). However, PPPs have been and continue to be controversial forms of project delivery as there are concerns about their ability to provide taxpayers with value for money (VfM). Current practice to determine VfM focuses on a ‘simplistic’ ex-ante evaluation referred to as the Public Sector Comparator (PSC), aiming to take a life-cycle approach to cost and benefits assessment. However, the complexity of transport projects renders the PSC ineffective and static evaluation of cost and benefits across their life-cycle. Therefore, the PSC cannot accommodate a project's environment's dynamic and changing nature. Acknowledging the limitations of the PSC, we develop and examine a dynamic discrete choice model that can be used to provide a VfM assessment for ‘road projects’. By validating the proposed model using two illustrative cases, the results suggest it can capture a more comprehensive assessment of cost components, functionality, and benefits specific to road projects and quantify the relationship between the consideration of different assessment elements and choice utility. Therefore, utilising the new model to assess VfM can enable policymakers to make more informed decisions about the employment of PPPs.
KW - Decision-making
KW - Policy-making
KW - Procurement
KW - Public-private partnerships
KW - Roads
KW - Value for money
UR - http://www.scopus.com/inward/record.url?scp=85123236432&partnerID=8YFLogxK
U2 - 10.1016/j.seps.2022.101227
DO - 10.1016/j.seps.2022.101227
M3 - Article
SN - 1873-6041
VL - 82
SP - 1
EP - 12
JO - Socio-Economic Planning Sciences
JF - Socio-Economic Planning Sciences
M1 - 101227
ER -