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 …
Transformer, an attention-based encoder–decoder model, has already revolutionized the field of natural language processing (NLP). Inspired by such significant achievements, some …
M De Haas, R Faber, M Hamersma - … research interdisciplinary perspectives, 2020 - Elsevier
COVID-19 has massively affected the lives of people all over the world. This paper presents first insights in current and potential future effects of the virus and the Dutch government's …
MT Kashifi, A Jamal, MS Kashefi… - Travel Behaviour and …, 2022 - Elsevier
Prediction of mode choice for travelers has been the subject of keen interest among transportation planners. Traditionally, mode choice analysis is conducted by statistical …
A Vij, JL Walker - Transportation Research Part B: Methodological, 2016 - Elsevier
Abstract Integrated Choice and Latent Variable (ICLV) models are an increasingly popular extension to discrete choice models that attempt explicitly to model the cognitive process …
Discrete choice models has been for decades the most used technique to model travel mode choice, being the multinomial logit (MNL) the most popular model among them …
Levine, Grengs, and Merlin marshal a compelling case to shift to accessibility-oriented planning, providing much needed conceptual clarity as to what accessibility is and is not. But …
MJO Kalter, KT Geurs, L Wismans - … Research Interdisciplinary Perspectives, 2021 - Elsevier
This study examines the changes in teleworking during the lockdown in April 2020 and the intention to change commuting behaviour after COVID-19 in the Netherlands. Survey data of …
S Kim, S Rasouli - Transportation Research Part A: Policy and Practice, 2022 - Elsevier
This paper aims to understand how people's lifestyles are associated with their willingness to adopt a relatively new and innovative mobility solution, Mobility-as-a-Service (MaaS). The …