Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.trc.2011.06.007
Title: Impact analysis of cordon-based congestion pricing on mode-split for a bimodal transportation network
Authors: Meng, Q. 
Liu, Z.
Keywords: Continuously distributed value-of-time
Cordon-based congestion pricing
Mathematical programming with equilibrium constraints
Mode-split
Probit-based stochastic user equilibrium
Issue Date: Apr-2012
Source: Meng, Q., Liu, Z. (2012-04). Impact analysis of cordon-based congestion pricing on mode-split for a bimodal transportation network. Transportation Research Part C: Emerging Technologies 21 (1) : 134-147. ScholarBank@NUS Repository. https://doi.org/10.1016/j.trc.2011.06.007
Abstract: This paper investigates the impact of cordon-based congestion pricing scheme on the mode-split of a bimodal transportation network with auto and rail travel modes. For any given toll-charge pattern, its impact on the mode-split can be estimated by solving a combined mode-split and traffic-assignment problem. Using a binary logit model for the mode-split, the combined problem is converted into a traffic-assignment problem with elastic demand. Probit-based stochastic user equilibrium (SUE) principle is adopted for this traffic-assignment problem, and a continuously distributed value of time (VOT) is assumed to convert the toll charges and transit fares into time-units. This combined mode-split and traffic-assignment problem is then formulated as a fixed-point model, which can be solved by a convergent Cost Averaging method. The combined mode-split and traffic-assignment problem is then used to analyze a multimodal toll design problem for cordon-based congestion pricing scheme, with the aim of increasing the mode-share of public transport system to a targeted level. Taking the fixed-point model as a constraint, the multimodal toll design problem is thus formulated as a mathematical programming with equilibrium constraints (MPEC) model. A genetic algorithm (GA) is employed to solve this MPEC model, which is then numerical validated by a network example. © 2011 Elsevier Ltd.
Source Title: Transportation Research Part C: Emerging Technologies
URI: http://scholarbank.nus.edu.sg/handle/10635/59079
ISSN: 0968090X
DOI: 10.1016/j.trc.2011.06.007
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