BACKGROUND Long distance is a leading environmental barrier to walking to school and requires long-term, multilevel interventions. Meanwhile, childhood obesity remains highly prevalent, calling for more immediate solutions. PURPOSE The purpose of this study was to examine attitudinal and environmental correlates of walking to the elementary school, controlling for distance. METHODS Using pa...

This paper addresses the relationship between land use and destination selection, and the question of destination selection on travel mode choice. Specifically, this work focuses on internalized trips, a sub-category of trip making where both trip origin and trip destination are contained in the same geographic unit of analysis. This investigation uses data from the 1994 Household Activity and ...

This paper outlines a framework that utilises open source software tools to automatically generate the explanatory variables needed for certain transport models, such as mode choice or station choice, from disparate sources of open transport data. A key component of the framework is OpenTripPlanner, an open source multi-modal route planner that builds transport networks using OpenStreetMap, GTF...

This paper discusses the representability of discrete logit-type models including multinomial logit and nested logit model from a mathematical approach. It is shown that the logit-type models can be reconstructed from mathematical approximation theory with sigmoidal functions widely used in Neural Network modeling without the basic assumptions such as IIA and iid, and the distribution (or densi...

A rich class of parametric models is proposed for discrete choice data based on the scale mixture of multivariate normal distributions. The multinomial probit model is a special case in the class. The new models can be implemented in a Bayesian framework without much difficulty because of their special connections to the multinomial probit model. A Gibbs sampler with data augmentation is used t...

Commentary Computational models in psychology are precise, fully explicit scientific hypotheses. Probabilistic models in particular formalize hypotheses about the beliefs of agents— their knowledge and assumptions about the world—using the structured collection of probabilities referred to as priors and likelihoods. The probability calculus then describes inferences that can be drawn by combini...

Travel mode choice prediction is critical for travel demand prediction, which influences transport resource allocation and policies. modes are often characterised by severe class imbalance inequality, leads to the inferior predictive performance of minority bias in prediction. In existing studies, has not been addressed with a general approach. Basic resampling methods were adopted without much...

Deployment of advanced technologies has enabled wireless internet access for commuters on various transportation modes. Such networked environments have enabled riders to engage in productive activities in transit. The ability to perform activities while traveling, especially paid work, may significantly affect the value of travel time (VOTT), with potential impacts on mode choice and commute p...