Alternate weibit-based model for assessing green transport systems with combined mode and route travel choices

摘要: A bstract Reduction of vehicle emissions is a major component sustainable transportation development. The promotion green transport modes worthwhile and approach to change mode shares contribute healthier travel choices. In this paper, we provide an alternate weibit-based model for the combined modal split traffic assignment (CMSTA) problem that explicitly considers both similarities heterogeneous perception variances under congestion. Instead using widely-adopted Gumbel distribution, route choice decisions are derived from random utility theory Weibull distributed errors. At level, nested weibit (NW) developed relax identical variance logit model. recently path-size (PSW) adopted handle overlapping route-specific variance. Further, equivalent mathematical programming (MP) formulation NW-PSW as CMSTA congested networks. Some properties proposed models also rigorously proved. Using model, different go-green strategies quantitatively evaluated examine (a) behavioral modeling travelers’ shift between private motorized (b) with consideration non-identical overlapping. results reveal choices can better reflect changes in parameters network characteristics than traditional extended models.