Associate Professor

Xu Feng

Author:Jun 26, 2020editor:刘国华Amount of reading:

Xu Feng

 

 

Personal Profile

Xu Feng, born in 1988, native of Wuhan, Hubei Province, PhD in Management, distinguished associate professor, master supervisor, candidate of joint PhD program of China University of Geosciences (Wuhan) and The Pennsylvania State University, 2019 CUG Scholar Young Talent of China University of Geosciences (Wuhan).

 

Research Fields

Land use and evaluation based on machine learning technology and method; interactive mechanism of population and land use change; land use evaluation and planning; application of spatial statistical analysis technology

 

Education Background and Work Experience

03/2019-     Distinguished associate professor in the School of Public Administration, China University of Geosciences (Wuhan)

09/2014-12/2018 PhD in Management, majoring in Land Resources Management, China University of Geosciences (Wuhan)

09/2016-09/2018 Government-sponsored joint PhD program, Department of Agricultural Economics, Society and Education, The Pennsylvania State University

09/2011-06/2014 Master of Engineering, majoring in Cartography and Geographic Information Engineering, China University of Geosciences (Wuhan)

08/2010-08/2011  Geography teacher of Longjiang Middle School in Chuxiong City, Yunnan Province, The Twelfth Postgraduate Volunteer Teaching Program of the Central Committee of the Communist Youth League

09/2006-06/2010  Bachelor of Engineering, majoring in Electronic Information Engineering, China University of Geosciences (Wuhan)

 

Selected Publications

1.Xu F, Wang Z, Chi G, Zhang Z. The impacts of population and agglomeration development on land use intensity: New evidence behind urbanization in China[J]. Land Use Policy, 2020, 95: 104639. Indexed by SSCI

2. Xu F, Chi G. Spatiotemporal variations of land use intensity and its driving forces in China, 2000-2010[J]. Regional Environmental Change, 2019, 19(8): 2583-2596. Indexed by SCI

3. Xu F, Ho H C, Chi G, Wang Z. Abandoned rural residential land: Using machine learning techniques to identify rural residential land vulnerable to be abandoned in mountainous areas[J]. Habitat International, 2019, 84: 43-56. Indexed by SSCI

4. Xu F, Wang ZQ, Zhang HW, Chai J. Application of random forest algorithm in suitability evaluation of rural residential land [J]. Resources Science, 2018, 40(10):2085-2098. Indexed by CSSCI

5. Xu F, Wang ZQ, Zhang HW. Rural residential land recycling under the ecological concept [J]. Resources Science, 2017, 39(07):1238-1247. Indexed by CSSCI

6. Xu F, Wang ZQ. Research on the Influence of Supplement of Land Element on Provincial Economic Growth Efficiency in Six Provinces of Central China [J]. China Land Science, 2015, 29(10):4-11. Indexed by CSSCI

Teaching Papers

1. Xu F, Wang ZQ, Zhu JH. Study on Reform and Innovation Path of Practical Teaching System of the Major of Land Resources Management [J]. Chinese Geological Education, 2020, 29(4):27-32.

Scientific Research Projects

1. Youth Program supported by the National Natural Science Foundation of China: Accurate mining and dynamic identification of the reduction development potential of rural residential areas in poverty alleviation areas (No.42001206),  01/2021-12/2023, PI

2. Key project funded by the Key Laboratory of Legal Studies of Ministry of Natural Resources, CUGFP-1904, Machine learning implementation of urban and rural construction land suitability evaluation, 01/2020-12/2020, PI

3. General program of National Natural Science Foundation of China, 71673258, Research on the performance evaluation and promotion mechanism of urban construction land under new urbanization, 01/2017-12/2020, participant

4. Discipline construction project of China University of Geosciences (Wuhan), 01/2019-12/2021, PI

5. Open Project of State Key Laboratory of Geological Processes and Mineral Resources, GPMR201606, The transformation path analysis and countermeasures of resource-based cities based on the constraints of comprehensive carrying capacity of resources and environment, 06/2016-12/2018, PI

6. Consolidation planning and acceptance of rural residential area for projects linked to the increase and decrease of construction land in Fangxian County, Hubei Province, 01/2015-12/2016, participant

7. The first national geographic survey (Huidong County, Guangdong Province) , 06/2014-10/2015, technical director

 

Contact Information

Email: whcugxf@163.com whcugxf@cug.edu.cn

Personal homepage: https://www.researchgate.net/profile/Feng_Xu73

Mailing address: Department of Land Resources Management of the School of Public Administration, China University of Geosciences, No. 388 Lumo Road, Hongshan District, Wuhan City, Hubei Province, 430074