Communications - Scientific Letters of the University of Zilina 2022, 24(4):A187-A197 | DOI: 10.26552/com.C.2022.4.A187-A197

Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms

Khondhaker Al Momin ORCID...1, *, Saurav Barua ORCID...1, Omar Faruqe Hamim ORCID...2, Subrata Roy ORCID...3
1 Department of Civil Engineering, Daffodil International University, Dhaka, Bangladesh
2 Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
3 Department of Civil Engineering, University of Information Technology and Sciences, Dhaka, Bangladesh

The long-distance travel (LDT) mode choice modeling is important for transportation planners. This study investigated alternative mode choice behavior for the LDT between the intercity buses and trains. A questionnaire survey, consisting of important mode choice attributes, was conducted on various groups of people in Bangladesh. Numerous travel mode choice contributing features (e.g., travel time, travel costs, origin-destination, comfort, safety, travel time reliability, ticket availability and schedule flexibility) were considered and the LDT mode choice models were developed using various machine learning algorithms typically applied for classification problems. With 95.31 % accuracy and 0.95 F1-score, Random Forest model was the best performing model for the dataset. According to the findings of this study, the intercity bus is preferred over the intercity train for LDT in Bangladesh.

Keywords: long distance travel, mode choice, supervised machine learning, intercity train, intercity bus
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The authors received no financial support for the research, authorship, and/or publication of this article.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: May 23, 2022; Revised: August 29, 2022; Accepted: August 2, 2022; Prepublished online: September 8, 2022; Published: October 26, 2022  Show citation

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Al Momin, K., Barua, S., Hamim, O.F., & Roy, S. (2022). Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms. Communications - Scientific Letters of the University of Zilina, 24(4), A187-197. doi: 10.26552/com.C.2022.4.A187-A197
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