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A Multiple Criteria Decision Making Model for Road Investment ...

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A <strong>Multiple</strong> <strong>Criteria</strong> <strong>Decision</strong> <strong>Making</strong> <strong>Model</strong><br />

<strong>for</strong><br />

<strong>Road</strong> <strong>Investment</strong> Management<br />

Qindong Li<br />

CRC CI PhD Scholar<br />

RMIT University


The Challenges<br />

Focus Old paradigm New paradigm<br />

Accountability Financial only <strong>Multiple</strong> Dimensions<br />

<strong>Decision</strong> <strong>Criteria</strong> Quantitative Quantitative&Qualitative<br />

Life-Cycle Analysis Product Function<br />

Integration Internal<br />

Cross Work Categories<br />

Transparency Close<br />

Public Participation<br />

Funds Public only Public-Private Partnerships


Current <strong>Decision</strong>-making<br />

Project Appraisal<br />

Process<br />

Economic Social Environmental<br />

Project Cost & User<br />

Costs <strong>Model</strong>s<br />

Safety, etc.<br />

Polution, Noise,<br />

etc.<br />

Monetisation<br />

Benefit Cost<br />

Analysis<br />

Network Optimisation<br />

Project Alternatives<br />

Optimisation<br />

<strong>Decision</strong>


Proposed <strong>Decision</strong>-making<br />

Project Appraisal<br />

Process<br />

Risk Analysis<br />

Public Risk<br />

Perception<br />

Economic Social Environmental<br />

Project Cost & User<br />

Costs <strong>Model</strong>s<br />

Safety, etc.<br />

Polution, Noise,<br />

etc.<br />

<strong>Multiple</strong> <strong>Criteria</strong><br />

Analysis<br />

Network Optimisation<br />

Project Alternatives<br />

Game Theory<br />

<strong>Decision</strong>


Research Objectives<br />

• <strong>Investment</strong> impact identification<br />

• Budget allocation across portfolio (Routine<br />

Maintenance, Programmed Maintenance, Rehabilitation, and Capital<br />

Works (Improvement)).<br />

• Budget allocation across sub-networks


What are to be Considered<br />

Interanl Considerations<br />

External Considerations<br />

Management<br />

Employee<br />

Government<br />

Public<br />

Regional<br />

Interests<br />

Global<br />

Interests<br />

Economic Environmental Social<br />

Construction Costs Risk Management Political Commitment<br />

Maintenance Costs<br />

Social Image<br />

Operational Costs<br />

Asset Condition<br />

Budget Constraints<br />

<strong>Investment</strong> Efficiency<br />

Land Take<br />

Technology Innovation<br />

Employment Working Environment Work Safety<br />

Pride<br />

Budget Optimisation Environmental Regulations Social Equity<br />

Land Development<br />

Governance<br />

Tax Revenue<br />

Portfilio Integration<br />

Private Involvement<br />

Travel Time Saving Health Travel Safety<br />

Vehicle Operating Costs Noise<br />

Creation<br />

Property Value<br />

Severance<br />

Employment Growth<br />

Service Quality<br />

Business Growth Local Air Condition Assessibility<br />

Transport Efficiency Water Pollution<br />

Landscape<br />

Land Amenity<br />

International Traffic Greenhouse Gas<br />

Emmission


Methodology<br />

• Choice <strong>Model</strong>: identify public perception and<br />

<strong>for</strong>mulate investment goals.<br />

• Goal Programming: representing decision<br />

preferences at sub-network level.<br />

• Genetic Algorithms: searching the optimal<br />

solutions.<br />

• Cooperative Game players: budget allocation<br />

across sub-networks.


Network Optimisation<br />

Dis trict<br />

Propos als<br />

Constraints<br />

Budge t<br />

Dis trict<br />

Preferences<br />

Project<br />

Candidates<br />

Goal Programm ing<br />

Geneti c Algori thms<br />

Maxim ised Goal<br />

Achievement Index<br />

District Goal Achievement<br />

Index<br />

Cooperative Game Theory<br />

Maxim ised Regional<br />

Goal Achievement<br />

Index<br />

Regional Budget<br />

Allocation<br />

Advised District<br />

Program


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