Student

Jingyi Zhou

about
Jingyi Zhou
Aerospace Information Research Institute, Chinese Academy of Sciences
Special Research Assistant

Biography

Dr. Jingyi Zhou is a Special Research Assistant at the Aerospace Information Research Institute, Chinese Academy of Sciences. Her primary research areas include optimization of sustainable urban service facility allocation, urban spatiotemporal big data analysis, and indoor navigation map design.

Research interests

  1. Optimization of sustainable urban service facility allocation
  2. Urban spatiotemporal big data analysis
  3. Indoor navigation map design

Education

  • 2019.09-2025.09, Nanjing Normal University, School of Geography, Cartography and Geography information system, Joined Study of Master and Doctoral Program, Ph.D.

  • 2023.01-2023.12, University of Zurich, Department of Geography, Joint Ph.D. Studying Program (funded by CSC)

  • 2015.06-2019.09, Jiangxi Normal University, School of Geography and Environment, Geography Information Science, B.S.

Experience

  • 2025.10-Present, Aerospace Information Research Institute, Chinese Academy of Sciences. Special Research Assistant

Publications

Journal Paper
  1. Zhou J, Shen J*, Fu C, Weibel R, & Zhou Z*. Quantifying indoor navigation map information considering the dynamic map elements for scale adaptation[J]. International Journal of Applied Earth Observation and Geoinformation, 2025, 136: 104323.
  2. Zhou J, Yang H, Shen J*, & Zhu, L. Indoor navigation map design based on spatial complexity[J]. Cartography and Geographic Information Science, 2025, 52(1): 69-81.
  3. Liu X, Tian Z, Zhou J*, Zhao T, Xu Y, Xu J, Shen J. Ontology Model Construction and Data Storage Method Design for River Health Management [J]. Journal of Tongji University (Natural Science), 2023, 51(7): 1018-1024. (In Chinese)
  4. Zhu L, Shen J, Zhou J, Stachoň Z, Hong S, & Wang X. Personalized landmark adaptive visualization method for pedestrian navigation maps: Considering user familiarity[J]. Transactions in GIS, 2022, 26(2): 669-690.
  5. Zhou J, Shen J, Zang K, Shi X, Du Y, & Šilhák P. Spatio-temporal visualization method for urban waterlogging warning based on dynamic grading[J]. ISPRS International Journal of Geo-Information, 2020, 9(8): 471.
  6. Shen J, Zhou J*, Zhou J, Herman L, & Reznik T. Constructing the CityGML ADE for the multi-source data integration of urban flooding[J]. ISPRS International Journal of Geo-Information, 2020, 9(6): 359.
  7. Zhou J, Hu B*, Qiu W. Research on activity spatial cohesion structure and zoning of Nanchang city based on Tencent location data [J]. World Regional Research, 2020, 29(05): 973-984. (In Chinese)
Conference Paper
  1. Zhou J, Weibel R, Fu C, Zhou Z, Zhu L, & Shen J. (2023). Enhancing indoor spatial knowledge through navigation map design with landmark hierarchy. In Proceedings of the 18th International Conference on Location Based Services (pp. 19-24)
  2. Zhou J, Weibel R, Fu C, Zhou Z, Zhu L, & Shen J. (2023). Indoor navigation map design based on the analysis of space characteristics. Abstracts of the ICA, 6, 291.
  3. Zhou J, Shen, J.*, Zhu, L., Yan, X. & Sun, W. (2022). Preliminary study of indoor emergency path planning based on fire emergency knowledge graph. In Proceedings of the 17th International Conference on Location Based Services, pages pending.
  4. Shen J*, Zhou J, & Yang J. (2021). Preliminary study on knowledge graph construction based on the coupling mechanism of urban disaster and emergency response. Abstracts of the ICA, 3: 265.
  5. Zhou J, Shen J *, Shi J, & Zhu L. (2021). Indoor navigation path visualization method considering the spatial characteristics. In Proceedings of 16th International Conference on Location Based Services (pp. 19-22).
  6. Zhu L, Shen J*, Zhou W, & Zhou J. (2020). Preliminary study on ontology construction for hospital navigation. In Proceedings of the 8th International Conference on Cartography and GIS (pp. 613-618).

Projects

[1]Postgraduate Research and Practice Innovation Program of Jiangsu Province, 2022.05-2024.05, “Research on generalization model of indoor emergency navigation route considering hierarchical landmark”, PI
[2]National Key R&D Program of China，2021.10-2024.09，“Urban disaster management and emergency response scenario cognition and construction method based on CIM and big data integration”，Participant
[3]National Key R&D Program of China, 2017.04-2019.12, “Dynamic mapping for risk and crises management in big data era”, Participant
[4]National Natural Science Foundation of China, 2024.01-2027.12, “Disaster narrative map model and expression based on the coupling relationship between nature, society and memory”, Participant
[5]National Key R&D Program of China, 2019.01-2022.12，“Indoor navigation map generalization model and methods considering the constraint of hierarchical landmarks”，Participant
[6]Open Fund Project of the State Key Laboratory of Remote Sensing Science, 2024.10-2026.09, “Research on Spatial Layout Optimization of Automated External Defibrillators Based on Deep Learning”, Participant

Patent


[1]Method for Selecting Installation Locations of Indoor Evacuation Floor Plans Based on Two-Dimensional Visibility Analysis, ranked 1/4, Patent Application No.: 202410799222.8
[2]Ontology Construction Method for Indoor Navigation in Hospitals, ranked 3/6, Authorized Patent No.: ZL201911325337.9

Reward


1.2024.12, ICA scholarship, International Cartographic Association
2.2023.11, LBS2023 travel grant, ICA Commission on Location Based Services