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[HTML][HTML] Inferring in-home/out-of-home situations unreported in time-use surveys using supervised machine learning
S Arao, T Maruyama - Travel Behaviour and Society, 2025 - Elsevier
Time-use surveys provide useful data for travel analyses. However, the survey on time use
and leisure activities (TULA) Questionnaire A, a representative time-use survey in Japan …
and leisure activities (TULA) Questionnaire A, a representative time-use survey in Japan …
Health enhancement through activity travel participation and physical activity intensity
M Ali, E Macioszek, CW Yuen - Journal of Transport & Health, 2024 - Elsevier
Introduction Past studies investigate the impact of health parameters on activity and
transport options. However, limited research has been done on how activity-travel …
transport options. However, limited research has been done on how activity-travel …
[PDF][PDF] Discrete Choice Models and Artificial Intelligence Techniques for Predicting the Determinants of Transport Mode Choice—A Systematic Review.
M Ali - Computers, Materials & Continua, 2024 - researchgate.net
Forecasting travel demand requires a grasp of individual decision-making behavior.
However, transport mode choice (TMC) is determined by personal and contextual factors …
However, transport mode choice (TMC) is determined by personal and contextual factors …
Potentials of digital twin system for analyzing travel behavior decisions
This review explores the potential of digital twin systems to provide a more holistic
representation of travel behavior and support transportation planning and policymaking. The …
representation of travel behavior and support transportation planning and policymaking. The …
RUM-NN: A Neural Network Model Compatible with Random Utility Maximisation for Discrete Choice Setups
N Bagheri, M Ghasri, M Barlow - arxiv preprint arxiv:2501.05221, 2025 - arxiv.org
This paper introduces a framework for capturing stochasticity of choice probabilities in
neural networks, derived from and fully consistent with the Random Utility Maximization …
neural networks, derived from and fully consistent with the Random Utility Maximization …
Potential of Modal Shift from Private Car to Public Transit: The Connector Role of Bike-Sharing
D Yao, C Zhang, J Li - Available at SSRN 5074259 - papers.ssrn.com
Transforming individual motorized travel into public transit travel is one of the effective ways
to alleviate traffic congestion and reduce carbon emissions. The emergence of bike-sharing …
to alleviate traffic congestion and reduce carbon emissions. The emergence of bike-sharing …