|
Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
1 |
[GO] |
2024―Okt―09 |
Forecasting public transit ridership amidst COVID-19: a machine learning approach |
Muhammad Shah Zeb, Muhammad Asif Khan, Muhammad Muzzamil Hussain Khattak, Sameer Ud-Din, Muhammad Faisal Habib, Muhammad Zaheer Khan |
2 |
[GO] |
2024―Aug―14 |
Urban transport during the COVID-19 pandemic: a case study of Poland |
Michal Zajfert |
3 |
[GO] |
2024―Apr―04 |
Optimizing transport frequency in multi-layered urban transportation networks for pandemic prevention |
Calum MacRury, Nykyta Polituchyi, Paweł Prałat, Kinga Siuta, Przemysław Szufel |
4 |
[GO] |
2023―Apr―11 |
India’s public transportation system: the repercussions of COVID-19 |
Sarthak Sahu, Saket Shanker, Aditya Kamat, Akhilesh Barve |
5 |
[GO] |
2023―Apr―05 |
Enhancing service quality of rural public transport during the COVID-19 pandemic: a novel fuzzy approach |
Hanumantha Rao Sama, Long-Sheng Chen, Venkateswarlu Nalluri, Madhavaiah Chendragiri |
6 |
[GO] |
2023―Mrz―14 |
To increase or to decrease the price? Managing public transport queues during COVID-19 in the presence of strategic commuters |
S Srivatsa Srinivas |
7 |
[GO] |
2022―Dez―19 |
Three’s a crowd? Examining evolving public transit crowding standards amidst the COVID-19 pandemic |
Tianxing Dai, Brian D. Taylor |
8 |
[GO] |
2021―Aug―16 |
Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data |
Christian Martin Mützel, Joachim Scheiner |