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• W2610399719 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." @default.
• W2610399719 created "2017-05-12" @default.
• W2610399719 creator A5053062358 @default.
• W2610399719 creator A5087171054 @default.
• W2610399719 date "2017-09-01" @default.
• W2610399719 modified "2023-09-30" @default.
• W2610399719 title "Alternate weibit-based model for assessing green transport systems with combined mode and route travel choices" @default.
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• W2610399719 doi "https://doi.org/10.1016/j.trb.2017.04.011" @default.
• W2610399719 hasPublicationYear "2017" @default.
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