• He Qingsong

  • Associate professor
  • Phone:13387613430
  • E-mail:baihualin2013@163.com
  • Academic Areas:Land use management
  • Research Interests:Territorial spatial planning, Urban big data; GIS

1. Academic Degrees

PhD, 2018, School of Resource and Environmental Science, Wuhan University, Wuhan, China;

Bachelor, 2013, School of Resource and Environmental Science, Wuhan University, Wuhan, China;

Visiting scholar, 2016.12-2017.12, University of North Carolina at Chapel Hill, NC, USA

2. Professional Experience

Associate Professor (2020-present); College of Public Administration, Huazhong University of Science and Technology;

Lecturer (2018-2020); College of Public Administration, Huazhong University of Science and Technology;

3. Selected Publications

1. Rao, Y., Dai, J., Dai, D*., & He, Q*. (2021). Effect of urban growth pattern on land surface temperature in china: a multi-scale landscape analysis of 338 cities. Land Use Policy, 103(1), 105314.

2. Rao, Y., Yang, J., Dai, D., Wu, K., & He, Q*.. (2021). Urban growth pattern and commuting efficiency: empirical evidence from 100 Chinese cities. Journal of Cleaner Production (5), 126994.

3. Zheng, L., Chen, K., Tan, S., Yin, C., He, Q*., Wu, J.. (2021). Landscape expansion-place quality nexus revisited: How fundamental and transitory growth impact in China. Land use policy, 103. https://doi.org/10.1016/j.landusepol.2021.105294

4. He, Q., He, W., Song, Y., Wu, J., Yin, C., & Mou, Y. (2018). The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’. Land Use Policy, 78, 726-738.

5. He, Q., Zhou, J., Tan, S., Song, Y., Zhang, L., Mou, Y., & Wu, J. (2020). What is the developmental level of outlying expansion patches? A study of 275 Chinese cities using geographical big data. Cities, DOI: https://doi.org/10.1016/j.cities.2019.102395

6. He, Q., Zeng, C., Xie, P., Tan, S., & Wu, J. (2019). Comparison of Urban Growth Patterns and Changes between Three Urban Agglomerations in China and Three Metropolises in the USA from 1995 to 2015. Sustainable Cities and Society, 101649.DOI: https://doi.org/10.1016/j.scs.2019.101649

7. He, Q., Xu, M., Xu, Z., Ye, Y., Shu, X., Xie, P., & Wu, J. (2019). Promotion incentives, infrastructure construction, and industrial landscapes in China. Land Use Policy, DOI: https://doi.org/10.1016/j.landusepol.2019.104101

8. He, Q., Liu, Y., Zeng, C., Chaohui, Y., & Tan, R. (2017). Simultaneously simulate vertical and horizontal expansions of a future urban landscape: a case study in Wuhan, Central China. International Journal of Geographical Information Science, 31(10), 1907-1928.

9. He, Q., Song, Y., Liu, Y., & Yin, C. (2017). Diffusion or coalescence? Urban growth pattern and change in 363 Chinese cities from 1995 to 2015. Sustainable Cities and Society. 35, 729-739. DOI: https://doi.org/10.1016/j.scs.2017.08.033.

10. He, Q., Tan, R., Gao, Y., Zhang, M., Xie, P., & Liu, Y*. (2018). Modeling urban growth boundary based on the evaluation of the extension potential: A case study of Wuhan city in China. Habitat International. 72, 57-65.

11. He, Q., Tan, S., Yin, C., & Zhou, M. (2019). Collaborative Optimization of Rural Residential Land Consolidation and Urban Construction Land Expansion: A Case Study of Huangpi in Wuhan, China. Computers, Environment and Urban Systems. DOI: https://doi.org/10.1016/j.compenvurbsys.2018.11.005.

12. He, Q., Zeng, C., Xie, P., Liu, Y*., & Zhang, M. (2018). Assessment of the biomass carbon storage of forests and ecological compensation based on surface area: A case study of Hubei Province in China. Ecological Indicators. 90, 392-400

13. He, Q., Tan, S., Xie, P., Liu, Y., & Li, J. (2019). Re-assessing Vegetation Carbon Storage and Emissions from Land Use Change in China Using Surface Area. Chinese Geographical Science, 29(4), 601-613.

4. Awards

Youth Project of Hubei Provincial High-level Talents Program (2019)

5. Courses Taught

 Management information system, Land information and application

6. Project

National Natural Science Foundation of China: 4201334


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