Biography
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.
Interests
- Urban Morphology
- Street Network
- Urban Big Data
- GIS and Machine Learning
Education
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
Featured Publications
All Publications
(2024).
Machine learning-based characterisation of urban morphology with the street pattern.
Computers, Environment and Urban Systems.
(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.
(2022).
Identifying Urban Functional Regions from High-Resolution Satellite Images Using a Context-Aware Segmentation Network.
Remote Sensing 2022, Vol. 14, Page 3996.
(2021).
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios.
Computers, Environment and Urban Systems.
Experience
Visiting Scholar
Urban Analytics Lab, National University of 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
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
- 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
- Comprehensive concept and field research for an urban design project in Beijing.
- Concept design and modelling for polit development.