Blog

Matthieu Marechal, Louis de Grange Abstract An optimization model is developed to solve the deterministic traffic assignment problem under congested transport networks with cost functions that have an asymmetric Jacobian. The proposed formulation is a generalization of Beckmann’s transformation that can incorporate network links with multivariate vector cost functions to capture... read more →

Ricardo de la Paz Guala, Cristián E. Cortés, Benjamín Heydecker & Pablo A. Rey Abstract In dynamic traffic assignment (DTA) models, it seems relevant to consider the uncertainty inherent to motorist route choices. Particularly, choices on realistic transport networks are mostly made using motorists' perceived costs of all routes from their... read more →

Marco Batarce Abstract This article proposes a method to estimate disaggregated discrete choice models with errors in the variables. The objective is to estimate the discrete choice models' coefficients to compute the value of time and use it for cost-benefit analysis in transportation planning. The method is general, as it only... read more →

Diana P. Moreno-Palacio, Carlos A. González-Calderón, Héctor López-Ospina, Jhan Kevin Gil-Marín & John Jairo Posada-Henao Abstract The freight system’s complexity and significant impact on urban areas necessitate carefully considering sustainable transportation options. The proposed freight transit tour synthesis (FTTS) model, using fuzzy logic and entropy maximization, analyzes freight and transit systems as a multiclass category,... read more →

Lola Blandin, Giovanni Vecchio, Ricardo Hurtubia, Ignacio Tiznado-Aitken  Abstract Car dependence is a dimension of transport poverty whose subjective components have been limitedly explored. Research on car dependence highlights the incidence of transport costs, assesses the multidimensional vulnerability of car-dependency and the possibility to access valued opportunities. However, people’s perceptions and their perceived ability to access destinations... read more →