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The Future of U.S. Infrastructure Delivery:
Public-Private Partnerships (P3’s)
A focus on Transportation P3’s
Ryan Lee, Jack Lundquist
PI Ray Levitt
RA Andrew South
Purpose and Scope
Background
● According to 2013 studies from the Mckinsey Global
Institute, trillions of dollars will be needed for
infrastructure to meet future demand in the next few
decades.
● While funding is not available through governmental,
public means, an estimated trillion dollars in
expendable capital is available in the private sector.
● How to best leverage the private sector capital into
infrastructure is not well understood, and managing
the perceptions of public, private, and civic
stakeholders on these public-private partnerships can
become problematic and detrimental to the success of
a project.
Goals of Analysis
● To better understand the outcomes of 8 past and
current transportation P3 development with a
comparative case study of transportation projects
across the nation and an application of stakeholder
network theory.
Methods and Findings
Research Methodology
● Generate Initial P3 Factor Table
○ Includes information relevant for initial analysis
● Gephi Networks
○ For graphical analysis of stakeholder relations
● Institutional Matrix
○ Began with a 3x3 matrix: 3 phases, 3 levels of maturity
○ Later refined to a 2x4 matrix: 4 phases, mature/immature
○ Selection of 8 cases: one from each cell
■ Decisions based on size, quality of available
information, state, and prior knowledge of the project
● Qualitative Comparative Analysis (QCA)
○ Tool of social science for quantifying relationships between
inputs and outcomes from data of a modest number of case
studies
○ fsQCA: Fuzzy set QCA, which uses a ranking system that is
variate (1-3) rather than binary (0/1)
■ More accurate metric leads to more accurate input-
output matches
○ Our studies this summer used csQCA as a way to learn the
program, generate initial results, and guide our initial
refinement and selection process for later outcomes and factors
Outcomes
● Rich data set for further analysis
● Comprehensive case summaries for easy digestion by the public
● Initial QCA results
○ More likely pointing the way towards further methodological
refinement rather than successful variable-outcome pathways
○ Some preliminary results are discussed in the abstract
Discussion & Conclusions
● Currently Defining Success Outcomes for QCA, but tentatively are:
○ For P3’s in development: Request For Proposal Document
Released on Schedule?
○ For P3’s Reaching Financial Close: Did partnership reach
financial close within projected schedule?
○ For P3’s Under Construction: Milestones being Met?
○ For P3’s Constructed: Are Traffic volumes met?
Case Selection by Industry

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VPUE Presentation - P3 Stakeholder Theory

  • 1. The Future of U.S. Infrastructure Delivery: Public-Private Partnerships (P3’s) A focus on Transportation P3’s Ryan Lee, Jack Lundquist PI Ray Levitt RA Andrew South
  • 2. Purpose and Scope Background ● According to 2013 studies from the Mckinsey Global Institute, trillions of dollars will be needed for infrastructure to meet future demand in the next few decades. ● While funding is not available through governmental, public means, an estimated trillion dollars in expendable capital is available in the private sector. ● How to best leverage the private sector capital into infrastructure is not well understood, and managing the perceptions of public, private, and civic stakeholders on these public-private partnerships can become problematic and detrimental to the success of a project. Goals of Analysis ● To better understand the outcomes of 8 past and current transportation P3 development with a comparative case study of transportation projects across the nation and an application of stakeholder network theory.
  • 3. Methods and Findings Research Methodology ● Generate Initial P3 Factor Table ○ Includes information relevant for initial analysis ● Gephi Networks ○ For graphical analysis of stakeholder relations ● Institutional Matrix ○ Began with a 3x3 matrix: 3 phases, 3 levels of maturity ○ Later refined to a 2x4 matrix: 4 phases, mature/immature ○ Selection of 8 cases: one from each cell ■ Decisions based on size, quality of available information, state, and prior knowledge of the project ● Qualitative Comparative Analysis (QCA) ○ Tool of social science for quantifying relationships between inputs and outcomes from data of a modest number of case studies ○ fsQCA: Fuzzy set QCA, which uses a ranking system that is variate (1-3) rather than binary (0/1) ■ More accurate metric leads to more accurate input- output matches ○ Our studies this summer used csQCA as a way to learn the program, generate initial results, and guide our initial refinement and selection process for later outcomes and factors Outcomes ● Rich data set for further analysis ● Comprehensive case summaries for easy digestion by the public ● Initial QCA results ○ More likely pointing the way towards further methodological refinement rather than successful variable-outcome pathways ○ Some preliminary results are discussed in the abstract Discussion & Conclusions ● Currently Defining Success Outcomes for QCA, but tentatively are: ○ For P3’s in development: Request For Proposal Document Released on Schedule? ○ For P3’s Reaching Financial Close: Did partnership reach financial close within projected schedule? ○ For P3’s Under Construction: Milestones being Met? ○ For P3’s Constructed: Are Traffic volumes met? Case Selection by Industry