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Technical University of Munich

Liu

Foto von Zihan Liu

M.Sc. Zihan Liu

Postadresse

Arcisstr. 21
80333 München

Research Interests

  • Urban Mobility: traffic safety, active mobility, road user behavior, pedestrian-vehicle interaction
  • Visual Analytics & Geovisualization: spatiotemporal data visualization, visual storytelling, uncertainty visualization
  • Geoinformation & Geo-Data Science: open urban data, volunteered geographic information (VGI), uncertainty propagation
  • Urban Science: urban mobility, urban design
  • Network & Complexity Science

Curriculum Vitae

Teaching

  • Courses
    • Geoinformation
      • BV300003 (M.Sc. Cartography): WS26/27, WS25/26, WS24/25
      • BGU30062 (M.Sc. ESPACE): WS26/27, WS25/26
      • LRG3003 (M.Sc. Transportation Systems, M.Sc. Civil Engineering): SS26, SS25, SS24
    • Spatial Visual Analytics
      • ED110036 (M.Sc. Geodesy and Geoinformation, M.Sc. Land Management and Geospatial Science): SS26, SS25, SS24
  • Theses
    • Data-Driven Classification of Pedestrian Group Risk at Urban Crossings Using LiDAR-Derived Pedestrian–Vehicle Trajectories (Lopez, L., M.Sc. Information Technologies for the Built Environment, ongoing)
    • A Spatially Explicit Framework for Assessing Theoretical and Technical Potential of Utility-Scale Photovoltaics: A Case Study of Germany (Khaleel, A. A., M.Sc. ESPACE, 2025, co-supervised with Kerschbaum, A., Chair of Energy Systems)
    • Risk Assessment of Urban Bicycle Network Integrating Objective and Subjective Approaches — A Case Study of Munich (Nouman, M., M.Sc. Civil Engineering, 2025, co-supervised with Xue, J.)
    • Real-Time Visualization of Parking Status on Roads: A Case Study in Munich (Li, J., B.Sc. Mechanical Engineering, 2024, co-supervised with Feng, Y., & Xue, J.)
  • Seminars
    • Geodetic Seminar
      • Scalable Visual Analytics for Massive Trajectories (Zeng, H., M.Sc. Geodesy and Geoinformation, WS25/26)
      • State of the art in Low-Barrier and Participatory Urban Data (Lian, C., M.Sc. Geodesy and Geoinformation, WS25/26)
      • Visual Analytics of Mobility Data: Risk Assessment in Pedestrian-Vehicle Interactions (Lopez, L., M.Sc. Land Management and Geospatial Science, WS24/25)
      • Trajectory Data Quality Evaluation and Quality Improvement (Hu, Z., M.Sc. Geodesy and Geoinformation, WS24/25)
    • Mapping for a Sustainable World Seminar
      • Pedaling through Munich - Mapping the Bikeway Network in Munich (Şimşir, Y., M.Sc. Geodesy and Geoinformation, WS24/25)
    • ESPACE Seminar
      • How to Delineate a City: a Remote-Sensing Perspective (Zhang, Z., M.Sc. ESPACE, SS24)
  • Others
    • Module “Small Data, Big Insight: Understanding Cities through Low-Barrier and Participatory Urban Data”, at the TUM, TUM Asia, and Tsinghua University Winter School 2025 (Beijing): Smart Sustainable Cities and Transportations
    • Great Geodetic Excursion 2024 (M.Sc. and B.Sc. Geodesy and Geoinformation; SS24)

Conferences & Presentations

  • Liu, Z., Xue, J., Feng, Y., & Meng, L. (2026). From sensing to understanding: modeling pedestrian crossing behavior from LiDAR-derived trajectories. Oral presentation at the ISPRS XXV Congress, Toronto, Canada.
  • Liu, Z., Xue, J., Feng, Y., Reichenbacher, T., & Meng, L. (2025). Efficient Visual Analytics of Localized High-Frequency Multimodal All-Traffic Trajectory Data at Urban Intersections. Oral presentation at the 32nd International Cartographic Conference, Vancouver, Canada.
  • Liu, Z. (2025). Leveraging Visual Analytics to Explore Pedestrian–Vehicle Interaction. Oral presentation at the Young Cartographers Workshop, 75th Anniversary of the German Society for Cartography (DGfK), Berlin, Germany.
  • Liu, Z., Luo, P., Murphy, C. E., & Meng, L. (2023). The Potential of VGI for Solving the Traffic Sensor Location Problem from the Perspective of Traffic Safety. Oral presentation at the 31st International Cartographic Conference, Cape Town, South Africa.

Publications

2026

  • Xue, Jiaying; Liu, Zihan; Feng, Yu; Huang, Chenhao; Meng, Liqiu: How pedestrians actually jaywalk: fine-grained adaptive strategies revealed by roadside LiDAR. Transportation Research Interdisciplinary Perspectives 39, 2026, 102234 more…

2025

  • Chen, Chuan; Luo, Peng; Zhao, Huilin; Wei, Mengyi; Zhang, Puzhen; Liu, Zihan; Meng, Liqiu: A unified ontological and explainable framework for decoding AI risks from news data. Scientific Reports 15 (1), 2025 more…
  • Liu, Zihan; Xue, Jiaying; Feng, Yu; Reichenbacher, Tumasch; Meng, Liqiu: Efficient Visual Analytics of Localized High-Frequency Multimodal All-Traffic Trajectory Data at Urban Intersections. Abstracts of the ICA 10, 2025, 1-2 more…

2024

  • Chen, Chuan; Feng, Yu; Wei, Mengyi; Liu, Zihan; Luo, Peng; Wang, Shengkai; Meng, Liqiu: A hyper-knowledge graph system for research on AI ethics cases. Heliyon 10 (7), 2024, e29048 more…

2023

  • Liu, Zihan; Luo, Peng; Murphy, Christian E.; Meng, Liqiu: The Potential of VGI and Traffic Flow Generation Model for Solving the Traffic Sensor Location Problem. Abstracts of the ICA 6, 2023, 1-2 more…

Certificates and Awards

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