… of mode choice processes in a daily activity by using a multinomial logit model (MNL) and
nested logit model (NL). Hence, it investigates mode choice based on a utility function with a …

… basis function neural network (RBFNN) and generalized regression neural network (GRNN),
are employed to propose a new calibration process for travel mode choice … utility function is …

… In the model specification, we constructed mode choice models with three alternatives,
namely travel by air, rail and private car. For the purposes of estimation, we first analysed …

… mechanism of combined travel mode choice in multimodal networks. … , trip characteristics,
and mode choice are collected and … b are the coefficients of time and cost in the utility function. …

… This paper looks into the critical attributes of mode choice utility function with a review of
mode choice theory development. The idea of expected critical utility is proposed and gradient …

… The present study analyzes choice utility functions based on disaggregate data. The …
such utility functions provide significantly better fits to the data describing mode choice to a …

… illustration is drawn from analysis of a mode choice data set. … component (I$) of the ldom
utility function Ui~ K+E;_ … of choice are sensitive to the lctional form of the utility function…

… the mode choice utility function was derived. With the help of statistical sample an exponential
utility function … model was set up to be compared to the proportions of the utilities. With this …

… relationships because of the implied universality of the utility factor. It also would permit … by
virtue of the theory of the utility function. The theory of the utility function is of this nature: Given …

… a density variable from a mode choice utility function can produce biased … on mode choice.
In such instance, omitting a density variable (even if it functions only as a proxy) from the utility …