Conceptual and empirical models of the propensity to perform social activity–travel behavior are described, which incorporate the influence of individuals’ social context, namely their social networks. More explicitly, the conceptual model develops the concepts of egocentric social networks,...

The unsustainable nature of current urban transportation and land use is well recognized. What is less clear is the prescription for how to move towards a more sustainable future, especially given the many interest groups involved, the complexity of urban systems and the fragmented nature of...

This special section of the Journal of Transport and Land Use focuses on location choice modeling underlying activity-travel behavior and includes five manuscripts that were originally presented in Toronto, Canada at the Thirteenth International Conference on Travel Behaviour Research, organized...

Transport planning relies extensively on forecasts of traveler behavior over horizons of 20 years and more. Implicit in such forecasts is the assumption that travelers’ tastes, as represented by the behavioral model parameters, are constant over time. In technical terms, this assumption is...

This paper surveys the empirical and theoretical literature on macroeconomic production functions and assesses whether the constant elasticity of substitution (CES) or the Cobb-Douglas specification is more appropriate for use in the CBO’s macroeconomic forecasts. The Cobb-Douglas’s major...

This paper is intended to be pedagogical rather than a presentation of original research. We describe a simple dynamic, stochastic general equilibrium (DSGE) model with capital utilization, capital adjustment costs, and a simple Cobb-Douglas technology to illustrate how DSGE models can be used...

In this paper, we adopt a disaggregate approach to modeling the components of gasoline demand. Gasoline demand in our model is viewed as the outcome of the following household decisions: vehicle holdings (number and type) and vehicle usage (nondiscretionary and discretionary usage). Modeling...

Household activity scheduling is widely regarded as the underlying mechanism through which people respond to emerging travel demand management policies. Despite this, very little fundamental research has been conducted into the underlying scheduling process to improve our understanding and...

Purpose The purpose of this paper is to model housing price temporal variations and to predict price trends within the context of land use–transportation interactions using machine learning methods based on longitudinal observation of housing transaction prices. Design/methodology/approach...