Liu Cheng

Liu Cheng

Liu Cheng, native of Yueyang Hunan Province, PhD, master supervisor. He is mainly engaged in the spatio-temporal simulation of urban geographic process (cellular automata and multi-agent model), spatio-temporal analysis of urban geographic process, and the application of machine learning in cities (such as urban planning, urban renewal, etc.). He teaches the Introduction to Remote Sensing (Bilingual Teaching), and has won the Excellent Award in Undergraduate Teaching Quality Evaluation of China University of Geosciences (Wuhan) (top 10 of the University). He is the reviewer of SSCI journals such as Urban Studies, Geoforum, Environment and Planning A: Economy and Space and Housing Studies, etc.

Education Background

2011/01--2015/06   Doctor, Department of Geography, The University of Auckland (New Zealand)

2007/09--2010/07   Master, Department of Land Resources Management, China University of Geosciences (Wuhan)

2003/09--2007/07   Bachelor, Department of Land Resources Management, China University of Geosciences (Wuhan)

Selected Papers

(1) Liu, C., & O’Sullivan, D. (2016). An abstract model of gentrification as a spatially contagious succession process. Computers, Environment and Urban Systems, 59, 1-10. (SSCI)

(2) Liu, C., O’Sullivan, D., & Perry, G. L. W. (2018). The rent gap revisited: Gentrification in Point Chevalier, Auckland. Urban Geography, 39(9), 1300-1325. (SSCI)

(3) Liu, C., Deng, Y., Song, W., Wu, Q., & Gong, J. (2019). A comparison of the approaches for gentrification identification. Cities, Online first. (SSCI)

(4) Liu, C., Deng, Y., Song, W., Gong, J., & Zeng, J. (2021). Rethinking the geography of gentrification: From a scale perspective. Geoforum, 118, 23-29. (SSCI)

(5) Yang, J., Gong, J., Tang, W., & Liu, C. (2020). Patch-based cellular automata model of urban growth simulation: Integrating feedback between quantitative composition and spatial configuration. Computers, Environment and Urban Systems, 79. doi:https://doi.org/10.1016/j.compenvurbsys.2019.101402 (SSCI)

Scientific Research Projects

(1) Project supported by the National Natural Science Foundation of China (Youth Science Fund), 41801166, Research on the automatic recognition of urban building renewal based on street view and computer vision, 2019/01-2021/12 (PI);

(2) Regional guidance plan of the Fundamental Research Funds for the Central Universities, 2019/01-2019/12 (PI);

(3) Program supported by the Fundamental Research Funds for the Central Universities, CUGW170813, Computer automatic recognition of urban renewal, 2017/01-2019/12 (PI);

(4) Project supported by the Youth Development Fund of the School of Public Administration of China University of Geosciences (Wuhan), Automatic recognition of urban renewal based on street view and computer vision algorithm, 2017/05-2020/05 (PI);

(5) General Program of National Natural Science Foundation of China, 42071254, Social ecological risk identification and adaptive governance of land spatial evolution in central cities, 2021/01-2024/12 (participant).

Contact Information

Email: chengliu85@hotmail.com

Address: Department of Land Resources of the School of Public Administration, China University of Geosciences (Wuhan), No. 388 Lumo Road, Hongshan District, Wuhan City, Hubei Province