Performance of transportation network under perturbations: Reliability, vulnerability, and resilience Y Gu, X Fu, Z Liu, X Xu, A Chen Transportation Research Part E: Logistics and Transportation Review 133, 101809, 2020 | 286 | 2020 |
Multimodal transit network design in a hub-and-spoke network framework D Huang, Z Liu, X Fu, PT Blythe Transportmetrica A: Transport Science 14 (8), 706-735, 2018 | 95 | 2018 |
A network equilibrium approach for modelling activity-travel pattern scheduling problems in multi-modal transit networks with uncertainty X Fu, WHK Lam IATBR2012-Toronto, 2012 | 91 | 2012 |
Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks X Fu, WHK Lam Transportation, 2016 | 72 | 2016 |
Impact of a new metro line: analysis of metro passenger flow and travel time based on smart card data X Fu, Y Gu Journal of advanced transportation 2018 (1), 9247102, 2018 | 52 | 2018 |
A reliability‐based traffic assignment model for multi‐modal transport network under demand uncertainty X Fu, WHK Lam, BY Chen Journal of Advanced Transportation 48 (1), 66-85, 2014 | 51 | 2014 |
Modelling impacts of adverse weather conditions on activity–travel pattern scheduling in multi-modal transit networks X Fu, WHK Lam, Q Meng Transportmetrica B: transport dynamics 2 (2), 151-167, 2014 | 34 | 2014 |
Short-term prediction of metro passenger flow with multi-source data: A neural network model fusing spatial and temporal features X Fu, Y Zuo, J Wu, Y Yuan, S Wang Tunnelling and Underground Space Technology 124, 104486, 2022 | 30 | 2022 |
Maximizing space-time accessibility in multi-modal transit networks: an activity-based approach X Fu, WHK Lam, BY Chen, Z Liu Transportmetrica A: Transport Science 18 (2), 192-220, 2022 | 30 | 2022 |
Short-term estimation and prediction of pedestrian density in urban hot spots based on mobile phone data J Huo, X Fu, Z Liu, Q Zhang IEEE transactions on intelligent transportation systems 23 (8), 10827-10838, 2021 | 27 | 2021 |
Short-term forecasts on individual accessibility in bus system based on neural network model Y Zuo, X Fu, Z Liu, D Huang Journal of Transport Geography 93, 103075, 2021 | 25 | 2021 |
Spatial-temporal convolutional model for urban crowd density prediction based on mobile-phone signaling data X Fu, G Yu, Z Liu IEEE Transactions on Intelligent Transportation Systems, 2021 | 25 | 2021 |
Measuring joint space-time accessibility in transit network under travel time uncertainty X Fu, Y Zuo, S Zhang, Z Liu Transport Policy 116, 355-368, 2022 | 21 | 2022 |
Analysis of adding-runs strategy for peak-hour regular bus services Q An, X Fu, D Huang, Q Cheng, Z Liu Transportation Research Part E: Logistics and Transportation Review 143, 102100, 2020 | 21 | 2020 |
Modelling intra-household interactions in household’s activity-travel scheduling behaviour X Fu, WHK Lam, Y Xiong Transportmetrica A: Transport Science 12 (7), 612-628, 2016 | 21 | 2016 |
An Online Map Matching Algorithm Based on Second‐Order Hidden Markov Model X Fu, J Zhang, Y Zhang Journal of Advanced Transportation 2021 (1), 9993860, 2021 | 19 | 2021 |
Measuring accessibility of bus system based on multi-source traffic data Y Zuo, Z Liu, X Fu Geo-spatial Information Science 23 (3), 248-257, 2020 | 18 | 2020 |
An activity-based model for transit network design and activity location planning in a three-party game framework X Fu, Y Wu, D Huang, J Wu Transportation Research Part E: Logistics and Transportation Review 168, 102939, 2022 | 17 | 2022 |
Dynamic origin-destination flow prediction using spatial-temporal graph convolution network with mobile phone data Z Liu, Z Liu, X Fu IEEE Intelligent Transportation Systems Magazine 14 (5), 147-161, 2021 | 17 | 2021 |
Urban network-wide traffic volume estimation under sparse deployment of detectors J Xing, R Liu, Y Zhang, CF Choudhury, X Fu, Q Cheng Transportmetrica A: transport science 20 (3), 2197511, 2024 | 15 | 2024 |