| 287 | -- | 319 | Nadav Shalit, Michael Fire, Eran Ben-Elia. A supervised machine learning model for imputing missing boarding stops in smart card data |
| 321 | -- | 341 | Tianxing Dai, Brian D. Taylor. Three's a crowd? Examining evolving public transit crowding standards amidst the COVID-19 pandemic |
| 343 | -- | 376 | Mohammad Masoud Rahimi, Elham Naghizade, Mark Stevenson, Stephan Winter 0001. SentiHawkes: a sentiment-aware Hawkes point process to model service quality of public transport using Twitter data |
| 377 | -- | 409 | Obiora A. Nnene, Johan W. Joubert, Mark H. P. Zuidgeest. A simulation-based optimization approach for designing transit networks |
| 411 | -- | 433 | Alvaro Rodriguez-Valencia, Daniel Rosas-Satizábal, Darío Hidalgo. Big effort, little gain for users: lessons from the public transport system reform in Bogotá |
| 435 | -- | 478 | Sarthak Sahu, Saket Shanker, Aditya Kamat, Akhilesh Barve. India's public transportation system: the repercussions of COVID-19 |
| 479 | -- | 501 | Hanumantha Rao Sama, Long-Sheng Chen, Venkateswarlu Nalluri, Madhavaiah Chendragiri. Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach |
| 503 | -- | 534 | Sunhyung Yoo, Jinwoo Brian Lee, Hoon Han. A Reinforcement Learning approach for bus network design and frequency setting optimisation |
| 535 | -- | 574 | Ahmed Derbel, Younes Boujelbene. Performance classification of Tunisian public transport operators |
| 575 | -- | 594 | Junfeng Jiao, Yefu Chen. Is the relationship between bus and light rail transit a competition substitution or a congestion substitution? An empirical study in Seattle |