| A heterogeneous traffic spatio-temporal graph convolution model for traffic prediction J Xu, Y Li, W Lu, S Wu, Y Li Physica A: Statistical Mechanics and its Applications 641, 129746, 2024 | | 2024 |
| A multi-directional recurrent graph convolutional network model for reconstructing traffic spatiotemporal diagram J Xu, W Lu, Y Li, CH Zhu, Y Li Transportation letters 16 (5), 405-415, 2024 | 6 | 2024 |
| Determinants of Passenger Satisfaction with Ride-Hailing Services: Case Study in Nanjing, China T Wang, Y Zhang, Y Li, M Li, W Lu Journal of Urban Planning and Development 149 (2), 05023002, 2023 | 1 | 2023 |
| Estimating urban rail transit passenger inflow caused by special events occurrences fusing multi-source data W Lu, Y Zhang, P Li, T Wang Neural Computing and Applications 35 (22), 16649-16670, 2023 | 2 | 2023 |
| Identification of key nodes of urban rail transit integrating network topology Characteristics and passenger flow W Ting, Z Yong, Z Ming-ni, LU Wen-bo, LI Shi-hao Journal of Transportation Systems Engineering and Information Technology 22 …, 2022 | 2 | 2022 |
| Measuring the relationship between influence factor and urban rail transit passenger flow: Correlation or causality? W Lu, Y Zhang, C Ma, B Zhou, T Wang Journal of Urban Planning and Development 148 (3), 05022025, 2022 | 3 | 2022 |
| Metro Passenger Flow Prediction Model Using Adaptive Multi-view Fusion Graph Neural Network LU Wenbo, Z Yong, LI Peikun, W Ting, C Yarong Journal of Transportation Systems Engineering and Information Technology 24 …, 2024 | | 2024 |
| MOHP-EC: A Multiobjective Hierarchical Prediction Framework for Urban Rail Transit Passenger Flow W Lu, J Xu, Y Zhang, T Wang, P Li IEEE Intelligent Transportation Systems Magazine 15 (4), 86-105, 2023 | 1 | 2023 |
| Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow W Lu, Y Zhang, P Li, T Wang Engineering Applications of Artificial Intelligence 125, 106741, 2023 | 5 | 2023 |
| Nonlinear Relationship of Multi-Source Land Use Features with Temporal Travel Distances at Subway Station Level: Empirical Study from Xi’an City P Li, Q Yang, W Lu Land 13 (7), 1021, 2024 | | 2024 |
| Research on nonlinear relationship between subway built environment and travel distance of stations based on XGBOOST-SHAP LI Peikun, C Xumei, LU Wenbo, MA Jiaxin, LIU Yi, W Hao Journal of Railway Science and Engineering, 2023 | | 2023 |
| Research on sample selection of urban rail transit passenger flow forecasting based on SCBP algorithm W Lu, C Ma, P Li IEEE Access 8, 89425-89438, 2020 | 5 | 2020 |
| Risk assessment of COVID-19 infection for subway commuters integrating dynamic changes in passenger numbers P Li, X Chen, C Ma, C Zhu, W Lu Environmental Science and Pollution Research 29 (49), 74715-74724, 2022 | 11 | 2022 |
| Short-term passenger flow prediction of urban rail transit based on different time granularity [J] M Chaoqun, L Peikun, Z Caicai, L Wenbo, T Tian Journal of Chang'an University 40 (03), 75-83, 2020 | 6 | 2020 |
