An examination of model validation practices in the peer-reviewed transportation literature
published between 2014 and 2018 reveals that 92% of studies reported goodness-of-fit …

Commonly used discrete choice model analyses (eg, probit, logit and multinomial logit
models) draw on the estimation of importance weights that apply to different attribute levels …

The COVID-19 pandemic is a pivotal moment in the history of mankind, which had a huge
impact on the fast-paced world. The uncertainty associated with the plight of the pandemic …

Hybrid choice models have been developed as an extension of discrete choice models,
particularly multinomial logit models, in an attempt to include attitudinal variables. The …

On the grounds that individuals heavily rely on the information that they receive from their
peers when evaluating adoption of a radical innovation, this paper proposes a new …

Abstract The Mobility as a Service (MaaS) concept has recently taken the transport industry
by storm. However, as applications and research on it are limited, there is still little evidence …

We characterize heterogeneity in preferences and motivations regarding plug-in electric
vehicles (PEVs)—including plug-in hybrids (PHEVs) and electric vehicles (EVs). Using …

In this paper, we propose a gamification approach as a novel framework for smart building
infrastructure with the goal of motivating human occupants to consider personal energy …

Policy measures to control the spread of COVID-19 imposed by different countries have a
devastating impact on people's travel behaviors. Differing from the normal situation where …

The need to understand the influence of the COVID-19 pandemic on the long-term travel
behaviour of people has never been higher as a consequence of the second wave of …