中文
LIU Xiaobing
Basic information Education Professional Experience Research Field Projects Teaching Courses Paper Monograph Patent Awards and honors Social Appointments
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Basic information

Name：

LIU Xiaobing

Administrative Post：

Technical Post：

Associate Professor

Degree：

Mailing Address：

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Office Phone：

Email：

lxiaobing@bjtu.edu.cn

Education

Professional Experience

Research Field

Projects

Teaching Courses

Paper

  1. Liu, X., Chen, J., Wang, R., Sun, Y., Wang, Y., & Yan, X. (2026). Is Ride-Hailing Competing or Cooperating with Subway? A Survey in Chinese Cities. Urban Rail Transit, 1-25. (SCI, 二区) （第一作者）
  2. Liu, X., Duan, Y., Geng, Y. A., Wang, Y., LI, Q., Yan, X., & Gao, Z. (2026). Uncertainty quantification for joint demand prediction of multi-modal ride-sourcing services using spatiotemporal Mixture-of-Expert neural network. Transportation Research Part C: Emerging Technologies, 184, 105507. (SCI,一区Top) （第一作者）
  3. Liu, X., Chai, L., Yang, X., Ma, S., Wang, Y., & Huang, Y. (2026). The myth of ‘low cognitive load= low risk’: Quantifying interactive effects of phone use modes and cognitive demand on driving safety. Journal of Transportation Safety & Security, 1-33. (SSCI, 领域鼓励) （第一作者）
  4. Liu, X., Sun, Y., Wang, R., Tan, W., Chen, F., Yan, X., & Wang, Y. (2025). Quantifying the potential benefits of buspooling: Case study and sensitivity analysis. Research in Transportation Business & Management, 62, 101457. (SSCI, An2) （第一作者）
  5. Liu X, Yan X, Wang W, et al. Characterizing the polycentric spatial structure of Beijing Metropolitan Region using carpooling big data[J]. Cities, 2021, 109:103040 (SSCI,一区Top) （第一作者）
  6. Liu X, Titheridge H, Yan X, et al. A passenger-to-driver matching model for commuter carpooling: Case study and sensitivity analysis[J]. Transportation Research Part C: Emerging Technologies, 2020, 117:102702. (SCI, 一区Top) （第一作者）
  7. Liu X, Yan X, Liu F, et al. A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data[J]. Applied Energy, 2019, 240:295-311. (SCI, 一区Top) （第一作者)
  8. Zhao, X., Liu, X.*, Wang, J., Li, F., & Jiang, R. (2026). A hybrid traffic flow model for truck transportation management: CTM for whole-journey with CA at black-spots. Journal of Transportation Safety & Security, 1-42. (SSCI, 领域鼓励) （通讯作者）
  9. Zile, L. I. U., Xuedong, Y. A. N., Liu, X.*, Siwei, M. A., & Lu, M. A. (2026). Understanding intercity travel distribution: A quantitative explanation approach using dual-layered zone delineation. Transport Policy, 104054. (SSCI, 一区Top) （通讯作者）
  10. Liu, Z.,  Liu, X.*, Yan, X., Li, F., Zhong, H., & Wang, Y. (2026). Influences of built environment on intercity travel demand of urban agglomerations: The discrepancies across inferred trip purposes. Cities, 168, 106404. (SSCI, 一区Top) （通讯作者）
  11. Li, F., Ma, L., Wang, L., Liu, X.*, Yan, X., & Tian, X. (2026). Impact of Metropolitan Center Structure on Commuting Distance in China: Evidence from 36 Metropolitan Areas. Journal of Urban Planning and Development, 152(1), 04025088. (SSCI,领域鼓励) （通讯作者）
  12. Li, F., Liu, X.*, Yan, X., Liu, Z., Zhao, X., & Ma, L. (2025). Reducing Extreme Commuting by Built Environmental Factors: Insights from Spatial Heterogeneity and Nonlinear Effect. ISPRS International Journal of Geo-Information, 14(12), 487. (SSCI,An3) （通讯作者）
  13. Zhong, H., Wang, Y.*, Yan, X.,  Liu, X.*, Zhang, R., & Liu, Z. (2025). Exploring influencing mechanism of potential factors on commuters’ mode choice behaviors. Transportation Research Part D: Transport and Environment, 149, 105043. (SCI, 一区Top) （联合通讯作者）
  14. Duan, Y., Liu, X.*, Geng, Y. A., Xu, G., Wang, Y., & Yan, X. (2025). Uncertainty-aware deep multi-graph learning approach coupling zero-inflated Generalized Poisson for ridesharing demand prediction. Information Sciences, 122820. (SCI, 领域顶级) （通讯作者）
  15. Sun, Y., Liu, X.*,Wang, R., Wang, Y., & Yan, X. (2025). Nonlinear effects of built environment on ridesplitting ratio: Discrepancies across sharing motivations. Journal of Transport Geography, 126, 104255. (SCI, 一区Top) （通讯作者）
  16. Guo, R., Liu, X.*, Sun, Y., Yan, X., Guan, W., & Azadeh, S. S. (2025). From ride-hailing to high-capacity ride-sharing: a user-centric shared mobility service design. Transportmetrica A: Transport Science, 1-31. (SCI, 领域权威) （通讯作者)
  17. Yang, Z., Liu, X.*, Wang, J.*, Yan, X., Shen, R., & Huo, Z. (2024). Assessment on resilience of urban agglomeration transportation system considering passenger choice and load-capacity factor. Reliability Engineering & System Safety, 110527. (SCI, 一区Top) （联合通讯作者）
  18. Ma, S., Yan, Y., Wang, J., Chen, D., Yang, J., & Liu, X*. (2024). Predictability of driver’s stop/go decisions at flashing-light-controlled grade crossings by coupling functional brain network and deep learning methods. Transportation Research Part F: Traffic Psychology and Behaviour, 107, 115-132. (SSCI, 领域权威) （通讯作者）
  19. HUO Zhengqi, YANG Xiaobao,  Liu, X.*, and YAN Xuedong. Spatio-temporal analysis on online designated driving based on empirical data. Transportation research part A: policy and practice 183 (2024): 104047. (SCI, 一区Top) （通讯作者）
  20. Liu, Z., Liu, X.*, Wang, Y., & Yan, X. (2024). Coupling travel characteristics identifying and deep learning for demand forecasting on car‐hailing tourists: A case study of Beijing, China. IET Intelligent Transport Systems, 18(4), 691-708. (SCI, An2) （通讯作者）
  21. Xiang, W., Wang, Z., Pan, X., Liu, X.*, Yan, X., & Chen, L. (2024). The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi’an, China. PLoS one, 19(1), e0295950. (SCI, An2) （通讯作者）
  22. Xiang, W., Chen, L., Yan, X., Wang, B., & Liu, X*. The impact of traffic control measures on the spread of COVID-19 within urban agglomerations based on a modified epidemic model. Cities, 2023, 135, 104238. (SSCI, 一区Top) （通讯作者）
  23. Yan X, Liu X, Song Y. Optimizing evacuation efficiency under emergency with consideration of social fairness based on a cell transmission model[J]. PLoS ONE, 2018, 13(11). (SCI, An3) （第二作者，导师一作）
  24. Zhao, Y., Li, H., Liu, X., & Huang, Y. (2026). A safety protection method based on trajectory prediction for the operation of virtual coupling trains. Reliability Engineering & System Safety, 112328. (SCI, 一区Top) 
  25. Chen, H., Yan, X., Liu, X., & Ma, T. (2023). Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data. Transportation, 50(5), 1923-1958. (SCI, 领域顶级) 
  26. Zhang J, Hasan S, Yan X, Liu X. 2021. Spatio-temporal mobility patterns of on-demand ride-hailing service users[J]. Transportation Letters, 2021: 1-12. (SCI, EI)
  27. Gu X, Yan X, Ma L, Liu X. Modeling the service-route-based crash frequency by a spatiotemporal-random-effect zero-inflated negative binomial model: An empirical analysis for bus-involved crashes[J]. Accident Analysis & Prevention, 144. (SSCI, An1) 
  28. Wang R, Chen F, Liu X, Fujiyama T. Spatiotemporal analysis of competition between subways and taxis based on multi-source data[J]. IEEE Access, 2020, 99:1-1. (SCI, An2) 
  29. Chen D, Yan X, Liu X, et al. Evaluating and diagnosing road intersection operation performance using floating car data[J]. Sensors, 2019, 19(10):2256. (SCI, An3) 
  30. Chen D, Yan X, Liu X, Li S, Wang L, Tian X. A multiscale-grid-based stacked bidirectional GRU neural network model for predicting traffic speeds of urban expressways. IEEE Access. 2020, 9:1321-37. (SCI, An2) 
  31. Wang L, Yan X, Liu Y, Liu X, Chen D. Grid mapping for road network abstraction and traffic congestion identification based on probe vehicle data. Journal of Transportation Engineering, Part A: Systems. 2021, 147(5):04021024. (SCI, An4)

Monograph

Patent

Awards and honors

Social Appointments