no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
1 |
A Reinforcement Learning approach for bus network design and frequency setting optimisation
|
Yoo, Sunhyung |
|
|
15 |
2 |
p. 503-534 |
article |
2 |
A simulation-based optimization approach for designing transit networks
|
Nnene, Obiora A. |
|
|
15 |
2 |
p. 377-409 |
article |
3 |
A supervised machine learning model for imputing missing boarding stops in smart card data
|
Shalit, Nadav |
|
|
15 |
2 |
p. 287-319 |
article |
4 |
Big effort, little gain for users: lessons from the public transport system reform in Bogotá
|
Rodriguez-Valencia, Alvaro |
|
|
15 |
2 |
p. 411-433 |
article |
5 |
Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach
|
Sama, Hanumantha Rao |
|
|
15 |
2 |
p. 479-501 |
article |
6 |
India’s public transportation system: the repercussions of COVID-19
|
Sahu, Sarthak |
|
|
15 |
2 |
p. 435-478 |
article |
7 |
Is the relationship between bus and light rail transit a competition substitution or a congestion substitution? An empirical study in Seattle
|
Jiao, Junfeng |
|
|
15 |
2 |
p. 575-594 |
article |
8 |
Performance classification of Tunisian public transport operators
|
Derbel, Ahmed |
|
|
15 |
2 |
p. 535-574 |
article |
9 |
SentiHawkes: a sentiment-aware Hawkes point process to model service quality of public transport using Twitter data
|
Rahimi, Mohammad Masoud |
|
|
15 |
2 |
p. 343-376 |
article |
10 |
Three’s a crowd? Examining evolving public transit crowding standards amidst the COVID-19 pandemic
|
Dai, Tianxing |
|
|
15 |
2 |
p. 321-341 |
article |