Name: Liu Liu

Position/Title: Associate Professor

College of Architecture and Urban Planning, Tongji University

Address: Dept. Urban Planning, Siping Road 1239, 200092 Shanghai

Email: l.liu@tongji.edu.cn

Research Fields:

Digital Twin Cities, Smart Urban Planning, 3D GIS 

Research Profile

Dr. Liu Liu has engaged in research on new technologies for integrated indoor and outdoor planning based on digital twins and multi-sourced sensing, theories and techniques for spatial data modeling of built environments, and methods for optimizing urban functionality. He is an advisor of ISPRS IV/9 WG 'Spatially Enabled Urban and Regional Digital Twins', and a member of the digital twin and future city professional committee in Chinese Society For Urban Studies. In addition, He served as a member of the program committee or scientific committee of international academic conferences for many years, such as the International Smart Data and Smart Cities Conference, the International 3D GeoInfo Conference, and ISPRS Technical Commission IV Symposium. Moreover, he also serves as a reviewer for journals such as 'Computers, Environment and Urban Systems', 'International Journal of Geographical Information Science', 'International Journal of Applied Earth Observation and Geoinformation', 'Transactions in GIS', etc.

   He has led a bunch of scientific research projects and published more than 20 academic papers (including 10 SCI/SSCI indexed ones), with Google Scholar H-index of 16 (as of October 2024). He also published a scholarly monograph based on his doctoral research (ISBN: 978-94-92516-93-0). His full list of publications can be found in:

https://www.researchgate.net/profile/Liu-Liu-146

https://scholar.google.com.hk/citations?user=eCzfpL0AAAAJ&hl=zh-CN

Current Courses

Master Planning, Site Planning (2), Country Planning and Design, Land Use Planning and Administration

Publications/Monograph

Liu, L., Zlatanova, S., and Xie, R (2024). Pedestrian Path Choice in Crowded Indoor Environments, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-2024, 665–671.

L. Liu, H. Huang*, J. Qi (2024). Towards a Multi-Scale Effect of Land Mixed Use on Resident Population—A Novel Explanatory Framework of Interactive Spatial Factors. Land, 13, 331.

L. Liu & S. Zlatanova (2023). TOWARDS PEDESTRIAN ACCESSIBILITY ANALYSIS IN INDOOR ENVIRONMENTS WITH CROWDS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W2-2023, 657–663.

L. Liu,, & S. Zlatanova (2022). A spatial data model for accessibility with indoor temporal changes. Transactions in GIS, 26, 3277– 3294.

J. Zhao, Q. Xu, S. Zlatanova, L. Liu, C. Ye, T. Feng (2022). Weighted octree-based 3D indoor pathfinding for multiple locomotion types, International Journal of Applied Earth Observation and Geoinformation, v.112, 102900

L. Liu, B. Li, S. Zlatanova, P. van Oosterom (2021). Indoor navigation supported by the industry foundation classes (IFC): a survey, Automation in Construction, Vol. 121, January 2021, 103436.

L. Liu, B. Li*, L. Yang, T. Liu (2020). Real-Time Indoor Positioning Approach Using iBeacons and Smartphone Sensors. Applied Sciences, 10, 2003.

L. Liu*, S. Zlatanova, B. Li, P. Van Oosterom, H. Liu, & J. Barton. (2019). Indoor routing on logical network using space semantics. ISPRS International Journal of Geo-Information, 8, 126.

W. Xu*, L. Liu*, S. Zlatanova*, W. Penard, & Q. Xiong. (2018). A pedestrian tracking algorithm using grid-based indoor model. Automation in Construction, 92, 173-187.

L. Liu, B. Li, S. Zlatanova, & H. Liu. (2018). THE PATH FROM BIM TO A 3D INDOOR FRAMEWORK - A REQUIREMENT ANALYSIS. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-4. 373-378.