Modern logistics systems involves complicated interactions amongst many different decision agents within a complex supply chain structures. Accordingly, in contrast to passenger transport, choice decisions in freight transport are typically not concentrated in a single agent, but are co-operatively and sometimes competitively made with different degrees of relationships by multiple individuals ...

Transferability is an important issue in travel demand analysis and forecasting. Without transferability in time, the use of models for forecasting has no foundation; without transferability between regions, models developed in one region cannot be applied elsewhere; and without transferability of models from one part of a region to another part of the same region, taste and value differences t...

Attribute-specific mode choice models predict the distribution of traffic among the various modes available, on the basis of some attributes. We consider the effect on valuation of one important attribute of mode choice, namely the travel time, for a population of commuters, when wireless internet access (wi-fi) is provided on trains. We use activity demand models to derive certain parameters o...

This quasi-experimental study aimed to compare the effect of different modes and item types of multiple-choice (MC) test items on advanced EFL learners’ listening comprehension and perception. To this end, 80 advanced EFL learners, aging 18 to 30, were selected. The participants took a listening test including dialogue-completion and question and answer multiple-choice items presented in writte...

Inspired by the interactive discrete choice logit models [Aggarwal, 2019], this paper presents the advanced families of discrete choice models, such as nested logit, mixed logit, and probit models to consider the interaction among the attributes. Besides the DM's attitudinal character is also taken into consideration in the computation of choice probabilities. The proposed choice models make us...