Classification of imbalanced travel mode choice dataset with SMOTE and prediction using interpretable machine learning
Bibliographic Data
| ID | 6455401 |
|---|---|
| Authors | Mujahid Ali (0000-0003-4376-0459, corresponding author) |
| Year | 2025 |
| Volume | 10 |
| Pages | 101119-101119 |
| Publication date | 2025-08-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Futures (JOURNAL) |
| Journal identifiers | ISSN: 2666-1888 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.sftr.2025.101119 |
| OpenAlex | W4412938552 |
| Language | EN |
| References cited | 52 |
Human–computer interaction · Machine learning · Mode (computer interface · Pattern recognition (psychology · Computer Science · Human Mobility and Location-Based Analysis · Traffic Prediction and Management Techniques · Transportation Planning and Optimization · Artificial Intelligence
Improving health through policies that promote active travel
Smote
Health impact assessment of active transportation
Applying a random forest method approach to model travel mode choice behavior
Exploring interactive and nonlinear effects of key factors on intercity travel mode choice using XGBoost
Travel mode choice
Subjective variables in travel behavior models
Determinants of Transport Mode Choice for Non-Commuting Trips
Gender differences in commuting travel mode choices among young adults
Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms
Determinants of transport mode choice
| Citation velocity | historical |
|---|---|
| Highly cited | No |