Name: Zhou Xingang

Position/Title:  Associate Professor

College of Architecture and Urban Planning, Tongji University

Address: Wenyuan Building, Siping Road 1239, 200092 Shanghai

Email: zxg@tongji.edu.cn

Research Fields

Application of AI and big data in urban planning and transport planning

Research Profile

2012/01-2016/07，PhD candidate in Urban Planning

Department of Urban Planning and Design, the University of Hong Kong, Hong Kong

2009/09-2011/12，School of Urban Design, Wuhan University

Master of Science in Urban Planning and Design

First Class Scholarship for academic excellence consecutively two years

2005-2009   School of Remote Sensing and Information Engineering, Wuhan University

Current Courses

Undergraduate courses: Spatial planning studio, Urban design studio, Introduction to spatial planning methods, Intelligent planning methods in territorial spatial planning

Graduate courses: Intelligent planning methods

Publications/Monograph

1. Zhou, X., Zhao, Z., Fu, W., Huang, Z., Yao, Y., Huang, Y., and Zhang, Y. 2024. The impact of heterogeneous accessibility to metro stations on land use changes in a bike-sharing context. Journal of Transport Geography, 121, 104019.

2. Zhou, X., Sun, C., Niu, X. & Shi, C. 2022. The modifiable areal unit problem in the relationship between jobs–housing balance and commuting distance through big and traditional data. Travel Behaviour and Society, 26, 270-278. (SSCI)

3. Zhou, X., Yeh, A. G. O., Yue, Y. & Li, W. 2022. Residential-employment mixed use and jobs-housing balance: A case study of Shenzhen, China. Land Use Policy, 119, 106201. (SSCI)

4. Zhou, X., Lang, W., Yeh, A. G., & Niu, X. (2021). Understanding the compactness of employment activities in high-density cities through cellphone location data. Environment and Planning B: Urban Analytics and City Science, 48(6), 1398–1413. https://doi.org/10.1177/2399808320974681.

5. Chen, Z., Zhou, X., & Yeh, A. G. (2021). Spatial accessibility to kindergartens using a spectrum combinational approach: Case study of Shanghai using cellphone data. Environment and Planning B: Urban Analytics and City Science, 48(6), 1380–1397. https://doi.org/10.1177/2399808320954221 (SSCI)

6. Niu, X.; Yue, Y.; Zhou, X.; Zhang, X. How Urban Factors Affect the Spatiotemporal Distribution of Infectious Diseases in Addition to Intercity Population Movement in China . ISPRS Int. J. Geo-Inf. 2020, 9, 615. (通讯作者)

7. Guo, H., Li, W., Yao, F., Wu, J., Zhou, X., Yue, Y., & Yeh, A. G. O. (2020). Who are more exposed to PM2.5 pollution: A mobile phone data approach. Environment International, 143, 105821. doi:https://doi.org/10.1016/j.envint.2020.105821
(SCI，影响因子8.925)

8. Huagui Guo, Qingming Zhan, Hung Chak Ho, Fei Yao, Xingang Zhou et al. ,Coupling mobile phone data with machine learning: How misclassification errors in ambient PM2.5 exposure estimates are produced? Science of the Total Environment. 2020, 1-12.

(SCI，影响因子6.551)

9. Zhou, X., Yeh, A.G.O. Understanding the modifiable areal unit problem and identifying appropriate spatial unit in jobs–housing balance and employment self-containment using big data. Transportation 48(3), 1267–1283 (2021). https://doi.org/10.1007/s11116-020-10094-z（SSCI）

10. Zhou, X., Chen, Z., Yeh, A. G., & Yue, Y. (2021). Workplace segregation of rural migrants in urban China: A case study of Shenzhen using cellphone big data. Environment and Planning B: Urban Analytics and City Science, 48(1), 25–42. (SSCI)

11. Zhou, X., Yeh, A. G. O. & Yue, Y. (2018), “Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data”. Journal of Transport Geography, 68, 102-108. (SSCI)

12. Zhou, X., Yeh, A.G.O., Yue, Y. and Li, W. “A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data”, Environment and Planning B, 2018, Vol. 45(3) 434–451. (SSCI)

Grants and Awards etc.

National Key Research and Development Program of China (Grant No. 2022YFC3800804), the Guangdong Science and Technology Strategic Innovation Fund (the Guangdong–Hong Kong-Macau Joint Laboratory Program, project No:

2020B1212030009).