dr. M. Wang (Mingshu)

Over mij

  • 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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Verbonden aan Opleidingen



Vakken Collegejaar  2021/2022

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Vakken Collegejaar  2020/2021


To date, as the PI and Co-PI, my research has been financially supported by the World Bank, Dutch Research Council (NWO), National Natural Science Foundation of China, Chinese Academy of Sciences, Microsoft Azure for Research, and Province of Overijssel (NL).

Current Projects



Universiteit Twente
Drienerlolaan 5
7522 NB Enschede

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Universiteit Twente
Postbus 217
7500 AE Enschede