1. OPTIMIZATION OF RESOURCE DISTRIBUTION IN THE GEORGE MASON UNIVERSITY PARKING SYSTEM
Stephen Cannon
Ana Maria Ordoñez
Alberto Mendez
Vincent Vo
Shakeb Rehman
Amit Singh
April 26, 2002

2. Presentation Overview
Problem Statement
Design Objective
Performance Metrics
System Design
Model
Results
Conclusion

3. Problem Statement
42% of Faculty & Staff find parking a source of stress
77% of Students find quality of parking poor to fair

4. Design Objective
To increase quality of service of parking system without increasing costs.

5. Performance Metrics Time to Destination Free Space in Parking Space
Shelter
Safety
Free Space in Parking Space
Parking Space Cost
Perceived Fairness

6. Performance Metrics
Collected importance weights and utility functions for each metric from a sample group of stakeholders.

7. Baseline Design Proposed plan by SASAKI Associates, Inc.
Plan is approved by GMU Administration
Addition of 5 parking garages in the next 20 years
Financial deficit expected up to $36 million in 2014

8. System Design Carpooling Incentive
Reduce Number of Cars
Reserved Space Auctions with Differential Pricing
Differentiating at Price Market Value
Better Utilization of all the Lots
Raise Revenue
Parking Space Restrictions

9. Design Time Sequence

10. Model: Simulation Design
Monte-Carlo simulation
3 scenarios simulated
Do Nothing Scenario: Make no changes to present campus
Base Scenario: Only make planed changes to campus
Policy Change Scenario: Make planned changes with our policy changes

11. Model Specifications 5 replications
1 sample space per 40 actual spaces (about 270 spaces)
Stakeholder’s values varied randomly
Destination varied randomly

12. Comparison of Design Alternatives

13. Results: Change in Revenue

14. Conclusion
Met objective to increase quality of service of parking system without increasing costs.
Increased derived utility
Annual cost of our system is $50,000
Annual revenue generated is $320,000