Modeling route choice behavior -- How relevant is the . . .

Generalized extreme value (GEV) specifications, such as cross nested logit (CNL) and generalized nested logit (GNL), relate the network topology to model parameters in the stochastic term of the utility function and present a more complex structure (9, 10). Probit and logit kernel (LK) assume that the covariance of path utilities is proportional to overlap lengths (11–13). Modeling revealed route choice behavior translates into the selec-tion of a path generation method and a model specification, and this two-stage process raises several modeling questions. How dependent are the parameter estimates on the path generation technique imple-mented to construct the choice set? How reliant are the parameter estimates on the number of alternative routes considered in the choice set? How does the sensitivity to the formation of the set of alternatives differ among route choice model specifications? The issue of the choice set composition is the most difficult t