Browse by author
Lookup NU author(s): Professor Phil BlytheORCiD, Sergio Grosso
To 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 homogenous value of travel time. (c) 2007 Elsevier B.V. All rights reserved.
Author(s): Markose S, Alentorn A, Koesrindartoto D, Allen P, Blythe PT, Grosso S
Publication type: Article
Publication status: Published
Journal: Journal of Economic Dynamics and Control
Year: 2007
Volume: 31
Issue: 6
Pages: 2001-2032
Date deposited: 30/04/2012
ISSN (print): 0165-1889
ISSN (electronic):
Publisher: Elsevier BV
URL: http://dx.doi.org/10.1016/j.jedc.2007.01.005
DOI: 10.1016/j.jedc.2007.01.005
Altmetrics provided by Altmetric