发表同行评议论文 30 余篇，发表于 Nature Sustainability、Transportation Research Parts A/B/C/E、IEEE Transactions on Intelligent Transportation Systems、European Journal of Operational Research、Transportation Science 等期刊。全部成果见：https://www.tsinghuamos.com/publications/。·
部分代表性成果（* 代表通讯作者，† 代表贡献相同）：
1. Large language models for travel behavior prediction
Baichuan Mo, Hanyong Xu*, Ruoyun Ma, Jung-Hoon Cho, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao
Transportation Research Interdisciplinary Perspectives, 2026, 38, 102124
2. A federated meta-learning approach for interpretable, privacy-preserving, and customizable behavior analysis
Linlin You, Kunxu Chen, Baichuan Mo*, Jiemin Xie, Juanjuan Zhao*, Jinhua Zhao
Communications in Transportation Research, 2026, 6, 9640014
3. Housing exchange framework to reduce carbon emissions from commuting
Juanjuan Zhao†, Baichuan Mo†*, Nicholas S. Caros, Jinhua Zhao
Nature Sustainability, 2025, 8, 1259-1269
4. Robust binary and multinomial logit models for classification with data uncertainties
Baichuan Mo, Yunhan Zheng*, Xiaotong Guo, Ruoyun Ma, Jinhua Zhao
European Journal of Operational Research, 2025, 327 (2), 577-591
5. Individual path recommendation under public transit service disruptions considering behavior uncertainty
Baichuan Mo*, Haris N Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
Transportation Science, 2025, 59 (6), 1235-1258
6. Modeling virus transmission risks in commuting with emerging mobility services: A case study of COVID-19
Baichuan Mo*, Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao
Travel Behaviour and Society, 2024, 34, 100689
7. Robust path recommendations during public transit disruptions under demand uncertainty
Baichuan Mo*, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
Transportation Research Part B: Methodological, 2023, 169, 82-107
8. Predicting drivers' route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network
Baichuan Mo, Qingyi Wang*, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao
Transportation Research Part E: Logistics and Transportation Review, 2023, 175, 103168
9. Individual mobility prediction in mass transit systems using smart card data: An interpretable activity-based hidden Markov approach
Baichuan Mo, Zhan Zhao*, Haris N Koutsopoulos, Jinhua Zhao
IEEE Transactions on Intelligent Transportation Systems, 2022, 23 (8), 12014-12026
10. Ex post path choice estimation for urban rail systems using smart card data: An aggregated time-space hypernetwork approach
Baichuan Mo, Zhenliang Ma*, Haris N. Koutsopoulos, Jinhua Zhao
Transportation Science, 2022, 57 (2), 313-335
11. Inferring passenger responses to urban rail disruptions using smart card data: A probabilistic framework
Baichuan Mo*, Haris N. Koutsopoulos, Jinhua Zhao
Transportation Research Part E: Logistics and Transportation Review, 2022, 159, 102628
12. Impact of unplanned long-term service disruptions on urban public transit systems
Baichuan Mo*, Max Y Von Franque, Haris N Koutsopoulos, John P Attanucci, Jinhua Zhao
IEEE Open Journal of Intelligent Transportation Systems, 2022, 3, 551-569
13. Modeling epidemic spreading through public transit using time-varying encounter network
Baichuan Mo†, Kairui Feng†, Yu Shen*, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao
Transportation Research Part C: Emerging Technologies, 2021, 122, 102893
14. Competition between shared autonomous vehicles and public transit: A case study in Singapore
Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao*
Transportation Research Part C: Emerging Technologies, 2021, 127, 103058
15. Impacts of subjective evaluations and inertia from existing travel modes on adoption of autonomous mobility-on-demand
Baichuan Mo, Qing Yi Wang, Joanna Moody*, Yu Shen, Jinhua Zhao
Transportation Research Part C: Emerging Technologies, 2021, 130, 103281
16. Impact of pricing policy change on on-street parking demand and user satisfaction: A case study in Nanning, China
Baichuan Mo, Hui Kong, Hao Wang, Xiaokun Cara Wang, Ruimin Li*
Transportation Research Part A: Policy and Practice, 2021, 148, 445-469
17. Calibrating path choices and train capacities for urban rail transit simulation models using smart card and train movement data
Baichuan Mo, Zhenliang Ma*, Haris N Koutsopoulos, Jinhua Zhao
Journal of Advanced Transportation, 2021, 5597130
18. Estimating dynamic origin–destination demand: A hybrid framework using license plate recognition data
Baichuan Mo, Ruimin Li*, Jingchen Dai
Computer‐Aided Civil and Infrastructure Engineering, 2020, 35 (7), 734-752
19. Capacity-constrained network performance model for urban rail systems
Baichuan Mo, Zhenliang Ma*, Haris N Koutsopoulos, Jinhua Zhao
Transportation Research Record, 2020, 2674 (5), 59-69
土木工程系暨建设管理系
