Travel activities and travel behaviors have been greatly affected by the outbreak of Covid-
19. Facing the change of individuals' travel choices, policymakers have to make an …

In recent years, traffic congestion has become increasingly serious and the urban
environment has deteriorated, posing a challenge to the modern sustainable transportation …

This paper develops new methodological insights on Random Regret Minimization (RRM)
models. It starts by showing that the classical RRM model is not scale-invariant, and that–as …

In this paper, we propose a regional dynamic traffic assignment framework for macroscopic
fundamental diagram (MFD) models that explicitly accounts for trip length distributions. The …

Predicting transportation mode choice is a classic challenge of travel behavior research.
Over the years, different theoretical concepts and modeling approaches have been applied …

The goal of a network design problem (NDP) is to make optimal decisions to achieve a
certain objective such as minimizing total travel time or maximizing tolls collected in the …

In this paper, a regret-theory-based stochastic user equilibrium model of route choice is
proposed by introducing a regret aversion parameter to reflect the regret degree of travelers …

This research systematically reviews fisher behaviour in coastal and marine fisheries. Fisher
behaviour refers to individual and group level action that reflects the psychological …

Crash severity model is a classical topic in road safety research. The multinomial logit (MNL)
model, as a basic discrete outcome method, is widely applied to measure the association …

To reduce traffic congestion, the Government of Jakarta is planning to implement electronic
road pricing (ERP) for commuters who pass through arterial roads in Jakarta's CBD area …