A smart market for passenger road transport (SMPRT) congestion: An application of computational mechanism design
AbstractTo control and price negative externalities in passenger road transport, we develop an innovative and integrated computational agent based economics (ACE) model to simulate a market oriented "cap" and trade system. (i) First, there is a computational assessment of a digitized road network model of the real world congestion hot spot to determine the "cap" of the system in terms of vehicle volumes at which traffic efficiency deteriorates and the environmental externalities take off exponentially. (ii) Road users submit bids with the market clearing price at the fixed "cap" supply of travel slots in a given time slice (peak hour) being determined by an electronic sealed bid uniform price Dutch auction. (iii) Cross-sectional demand data on car users who traverse the cordon area is used to model and calibrate the heterogeneous bid submission behaviour in order to construct the inverse demand function and demand elasticities. (iv) The willingness to pay approach with heterogeneous value of time is contrasted with the generalized cost approach to pricing congestion with homogeneous value of travel time.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Economic Dynamics and Control.
Volume (Year): 31 (2007)
Issue (Month): 6 (June)
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- Sheri Markose & Amadeo Alentorn & Deddy Koesrindartoto & Peter Allen & Phil Blythe & Sergio Grosso, 2007. "A smart market for passenger road transport (SMPRT) congestion: an application of computational mechanism design," Economics Discussion Papers 630, University of Essex, Department of Economics.
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