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

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

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

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

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

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

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

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

Design Time Sequence

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

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

Comparison of Design Alternatives

Results: Change in Revenue

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