Determining the Desired Amount of Parking Using Game Theory
Publication: Journal of Urban Planning and Development
Volume 132, Issue 1
Abstract
The problem of seeking an optimal parking policy is formulated here as a Stackelberg game between the government and the travelers. The government wishes to encourage transit ridership while keeping a strong urban center; unlike most existing tools that assist in determining parking policies, the proposed game includes an explicit quantitative formulation of the governmental objective. Each traveler wishes to gain a maximum utility from his choice of destination and transportation mode, and the choice distribution of all travelers is obtained by Logit model. A fundamental difference exists between Game Theory practice and common assumptions used in transportation modeling regarding the relationship between a single traveler’s utility and the choice distribution of all travelers. This difference is tackled here through the definition of the player that represents the travelers and its objective function. A simple version of the game is tested in 24 imaginary scenarios of transportation and urban conditions.
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Information & Authors
Information
Published In
Journal of Urban Planning and Development
Volume 132 • Issue 1 • March 2006
Pages: 53 - 61
Copyright
© 2006 ASCE.
History
Received: Jun 4, 2004
Accepted: Dec 1, 2004
Published online: Mar 1, 2006
Published in print: Mar 2006
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