dr. M. Wang (Mingshu)

About Me

  • GIScience
  • Geodata Science
  • Urban Informatics
  • City and Regional Development


My research focuses on developing and applying methods of GIScience (i.e., geographical information systems, remote sensing, and spatial analysis) and big data analytics (e.g., machine learning, artificial intelligence, and econometrics) to understand urban systems. I have two interconnected research lines of cities from the perspective of people. At a macro-scale, I quantify urban structure and city performance via GIScience methods. At a micro-scale, I explore human mobility issues with crowdsourced geospatial data using machine learning and artificial intelligence methods.


Li, B., Peng, Y., He, H. , Wang, M., & Feng, T. (2021). Built environment and early infection of COVID-19 in urban districts: A case study of Huangzhou. Sustainable Cities and Society, 66, 1-10. [102685]. https://doi.org/10.1016/j.scs.2020.102685
Wang, M. (2021). Polycentric urban development and urban amenities: Evidence from Chinese cities. Environment and Planning B: Urban Analytics and City Science, 48(3), 400-416. https://doi.org/10.1177/2399808320951205
Wang, M., Chen, Z., Mu, L., & Zhang, X. (2020). Road network structure and ride-sharing accessibility: A network science perspective. Computers, environment and urban systems, 80(March), 1-9. [101430]. https://doi.org/10.1016/j.compenvurbsys.2019.101430
Bernardes, S., Madden, M., Astuti, I., Chuvieco, E., Cotten, D., Dennison, P. E., Dronova, Y., Gitas, I., Gong, P., Franch-Gras, B., Hancher, M., Hirano, A., Howard, A., Hu, X., Huete, A., Jordan, T., Justice, C., Lawrence, R. L., Lu, L., ... Zhang, Z. (2019). Image Processing and Analysis Methods. In Manual of Remote Sensing, 4th Edition (4 ed., pp. 631-868). American Society of Photogrammetry and Remote Sensing (ASPRS),. https://doi.org/10.14358/MRS/Chapter7

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Courses Academic Year  2021/2022

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2020/2021

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands