Commuter trips are an important part of urban travel, and studying the influencing factors,
changing rules, and choice behaviors of urban commuting trips is of great significance for …

With analysis of the joint choice features of travel time and travel mode, the paper develops
two nested Logit (NL) models on commuters' travel time and travel model choice behavior …

This paper aims to describe the joint choice of trip chaining, travel mode, and departure time.
First, based on random utility maximization theory, the innovative Cross-Nested Logit model …

The aim of this paper is to contribute to describe the simultaneous choice of travel mode and
departure time by making use of a cross-nested logit structure that allows for the joint …

The modeling of travel behavior is complicated by the joint and causal relationships among
multiple endogenous variables. And it is generally accepted that commute mode choice and …

As Chinese cities continue to grow rapidly and their newly developed suburbs continue to
accommodate most of the enormous population increase, rail transit is seen as the key to …

Sažetak Urban rail transit trips usually involve multiple stages, which can be differentiated in
terms of transfers that may involve distinct access and egress modes. Most studies on …

This paper aims to conduct an empirical study to evaluate the influence of built environment
features and socioeconomic factors on commuters' simultaneous choice of departure time …

This study established the commuting mode choice models in the typical Chinese city of
Xi'an by using the Logistic regression method. Results show that commuters will transfer …

Based on the maximum random utility theory, traveler characteristic, travel characteristic and
the service level of travel mode were taken as utility variables, travel mode and departure …