Cai Wu (吴偲) is a PhD candidate from ITC, University of Twente. With a background in architecture, urban analytics and GIS, his research aims to quantify urban morphological patterns across scales using machine learning. This encompasses analysis from vast metropolitan areas down to detailed urban plots. The goal is to explore the potential applications of these quantitative urban forms in planning and design, with a particular emphasis on integrating dynamic data such as urban mobility.

  • Urban Morphology
  • Street Network
  • Urban Big Data
  • GIS and Machine Learning
  • PhD in Urban Analytics and Planning, 2024

    University of Twente, Netherlands

  • MSc in Smart Cities and Urban Analytics, 2019

    University College London, United Kingdom

  • BA in Architecture (Honours), 2017

    National University of Singapore, Singapore

All Publications

(2024). Machine learning-based characterisation of urban morphology with the street pattern. Computers, Environment and Urban Systems.

Cite DOI

(2024). Mapping Street Patterns with Network Science and Supervised Machine Learning. ISPRS International Journal of Geo-Information.


(2023). Urban spatial structure from a street network perspective: mapping street patterns with random forest classification. 18th International Conference on Computational Urban Planning and Urban Management, CUPUM 2023.

Cite URL

(2022). Identifying Urban Functional Regions from High-Resolution Satellite Images Using a Context-Aware Segmentation Network. Remote Sensing 2022, Vol. 14, Page 3996.



Visiting Scholar
Urban Analytics Lab, National University of Singapore
January 2024 – Present Singapore
  • Project: Understanding the neighbourhood’s pedestrian dynamic with computer vision-based walkability and street network analytics.
  • Supervisors: Dr. Filip Biljecki
Assistant-in-Opleiding (AiO)
University of Twente
January 2020 – December 2023 Enschede

Teaching Assistant:

  • 202001419-1A Course 1: GIS and RS or Geospatial Solutions
  • 202001419-1A Course 2: Geospatial Data: Concepts, Acquisition and Management
  • 202001419-1A Course 3: Geospatial Analysis and Interpretation
  • HTHT GIS Minor
UI/UX Designer
Sea Group
December 2016 – June 2018 Singapore
  • Transform product requirements into mock-ups and solid UI/UX design.
  • Design data visualisation platform for restaurants’ daily performance and backend operation analysis.
Intern Urban Designer
Woods Bagot
May 2015 – August 2015 Beijing
  • Comprehensive concept and field research for an urban design project in Beijing.
  • Concept design and modelling for polit development.