Travel mode choice modeling: Predictive efficacy between machine learning models and discrete choice model

• Main Authors: Nur Fahriza, Mohd. Ali, Ahmad Farhan, Mohd. Sadullah, Abdul Majeed, Anwar P. P., Mohd Azraai, Mohd Razman, Muhammad Aizzat, Zakaria, Ahmad Fakhri, Ab. Nasir
• Format: Article
• Language: English
• Published: Bentham Science Publishers 2021
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/35169/1/Travel%20mode%20choice%20modeling_Predictive%20efficacy%20between%20machine%20learning%20models%20and%20discrete%20choice%20model.pdf; http://umpir.ump.edu.my/id/eprint/35169/; https://doi.org/10.2174/1874447802115010241; https://doi.org/10.2174/1874447802115010241
• Institution: Universiti Malaysia Pahang

Background: A complex travel behaviour among users is intertwined with many factors. Traditionally, the exploration in travel mode choice modeling has been dominated by the Discrete Choice model, nonetheless, owing to the advancement in computational techniques, machine learning has gained traction...