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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2025―Nov―24 |
Interpretable machine learning for traffic congestion prediction: Unveiling the impact of different COVID-19 periods |
Dan Zhu, ChiSin Ng, Litian Xie, Yang Liu |
| 2 |
[GO] |
2023―Nov―27 |
Adapting node-place model to predict and monitor COVID-19 footprints and transmission risks |
Jiali Zhou, Mingzhi Zhou, Jiangping Zhou, Zhan Zhao |
| 3 |
[GO] |
2023―Jan―20 |
Impact of the COVID-19 pandemic and generational heterogeneity on ecommerce shopping styles - A case study of Sacramento, California |
Qianhua Luo, Teddy Forscher, Susan Shaheen, Elizabeth Deakin, Joan L. Walker |
| 4 |
[GO] |
2023―Jan―09 |
COVID-19 transmission in U.S. transit buses: A scenario-based approach with agent-based simulation modeling (ABSM) |
Sachraa G. Borjigin, Qian He, Deb A. Niemeier |
| 5 |
[GO] |
2022―Nov―21 |
Why are COVID-19 travel bubbles a tightrope walk? An investigation based on the trans-tasmanian case |
Xiaoqian Sun, Sebastian Wandelt, Anming Zhang |
| 6 |
[GO] |
2022―Okt―14 |
Corrigendum to “Understanding travel behavior adjustment under COVID-19” [Commun. Transport. Res. 2C (2022) 100068] |
Wenbin Yao, Jinqiang Yu, Ying Yang, Nuo Chen, Sheng Jin, Youwei Hu, Congcong Bai |
| 7 |
[GO] |
2022―Mai―24 |
Understanding travel behavior adjustment under COVID-19 |
Wenbin Yao, Jinqiang Yu, Ying Yang, Nuo Chen, Sheng Jin, Youwei Hu, Congcong Bai |
