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Title: Alternate weibit-based model for assessing green transport systems with combined mode and route travel choices
Authors: Kitthamkesorn, S
Chen, A 
Keywords: Nested weibit
Path-size weibit
Mathematical program
Combined modal split and traffic assignment problem
Issue Date: 2017
Publisher: Pergamon Press
Source: Transportation research. Part B, Methodological, 2017, v. 103, special issue SI, p. 291-310 How to cite?
Journal: Transportation research. Part B, Methodological 
Abstract: Reduction of vehicle emissions is a major component of sustainable transportation development. The promotion of green transport modes is a worthwhile and sustainable approach to change transport mode shares and to contribute to healthier travel choices. In this paper, we provide an alternate weibit-based model for the combined modal split and traffic assignment (CMSTA) problem that explicitly considers both similarities and, heterogeneous perception variances under congestion. Instead of using the widely-adopted Gumbel distribution, both mode and route choice decisions are derived from random utility theory using the Weibull distributed random errors. At the mode choice level, a nested weibit (NW) model is developed to relax the identical perception variance of the logit model. At the route choice level, the recently developed path-size weibit (PSW) is adopted to handle both route overlapping and route-specific perception variance. Further, an equivalent mathematical programming (MP) formulation is developed for this NW-PSW model as a CMSTA problem under congested networks. Some properties of the proposed models are also rigorously proved. Using this alternate weibit-based NW-PSW model, different go-green strategies are quantitatively evaluated to examine (a) the behavioral modeling of travelers' mode shift between the private motorized mode and go-green modes and (b) travelers' route choice with consideration of both non-identical perception variance and route overlapping. The results reveal that mode shares and route choices from the NW-PSW model can better reflect the changes in model parameters and in network characteristics than the traditional logit and extended logit models.
ISSN: 0191-2615
EISSN: 1879-2367
DOI: 10.1016/j.trb.2017.04.011
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