EJ Kim - Journal of Advanced Transportation, 2021 - Wiley Online Library
Understanding choice behavior regarding travel mode is essential in forecasting travel demand. Machine learning (ML) approaches have been proposed to model mode choice …
Abstract Background Discrete choice models (DCMs) for moral choice analysis will likely lead to erroneous model outcomes and misguided policy recommendations, as only some …
PF Alamdar, A Seifi - International Journal of Production Economics, 2024 - Elsevier
In this paper, we present an optimization method to analyze the simultaneous decisions on dynamic pricing and ordering quantities for seasonal products, by a retailer in monopolistic …
Ride-sourcing services have had a disruptive impact on urban mobility. However, the perceived risk of contracting the COVID-19 virus while using these services has negatively …
Modeling and prediction of mode choice are essential to support more sustainable and safer transportation decisions. There is plenty of literature in this decade showing that machine …
Z Zhang, Y Chen, L Liu - Journal of Advanced Transportation, 2022 - Wiley Online Library
How to promote air traveler repurchasing has become an important marketing strategy in airlines. However, because of the growing concern over user privacy, effectively and …
W Zhu, W Si - Journal of choice modelling, 2024 - Elsevier
Recently, there has been a growing interest in comparing machine learning models and Discrete Choice Models. However, no studies have been conducted on image choice …
A Ghorbani, N Nassir, PS Lavieri… - arXiv preprint arXiv …, 2023 - arxiv.org
The methodology discussed in this paper aims to enhance choice models' comprehensiveness and explanatory power for forecasting choice outcomes. To achieve …
A Parsi, M Jafari, S Sabzekar, Z Amini - arXiv preprint arXiv:2407.01769, 2024 - arxiv.org
Accurate classification of mode choice datasets is crucial for transportation planning and decision-making processes. However, conventional classification models often struggle to …