It is hereby declared to be national policy that special effort should be made to promote commuter modes of transportation which conserve energy, reduce pollution, and reduce traffic congestion.
This paper presents a joint trivariate discrete continuous continuous model for commuters' mode choice, work start time and work duration.
The empirical model reveals many behavioral details of commuters' mode choice, work start time and duration decisions.
This paper examines the role of transportation demand management (TDM) policies on commuters' mode choice in the city of Tehran.
A spatial probit model of commuters' mode choices (bicycling versus non-bicycling) is estimated, accounting for spatial autocorrelation.
In addition to a number of commuting and contextual variables, the model shows that the single policies main effect and multiple policies interactions are significant in affecting commuters' mode choice.
A bilevel programming framework is established to concurrently model the FAIR operator's pricing strategies (at the upper level) and commuters' mode and lane choices (at the lower level).
The INSIM possesses the sophistication to imitate the commuters' mode choice behaviour in an information-rich environment.
The IES is designed in a way to provide the flexibility to adopt an alternative mode choice model that can give prediction of commuters' mode choice.
