Research and expertise
I specialise in the study of pedestrian social interactions in urban spaces, using computer vision techniques for quantitative analysis. With a background in urban design, I am proficient in spatial modeling and rendering software, including Rhino, Grasshoper, SketchUp, Twinmotion, V-Ray, Enscape, and CAD.
My expertise extends to VR and AR technologies, where I have developed a virtual tour system for heritage building complexes. My work integrates computational analysis, spatial data visualization, and urban design to provide insights into the relationship between urban environments and human behaviour.
Current research activity
My research aims to analyze pedestrian social interactions in urban spaces using computer vision techniques to better understand urban vitality.
Currently, I have developed a framework to detect and categorize social interactions into transient, sustained, and gatherings. I am analyzing the spatiotemporal distribution of social interactions to identify patterns and correlations with urban design elements. Additionally, I am formulating the Social Interaction Intensity Index (SIII) to quantify urban vitality by integrating interaction frequency and duration.
Recent publications
Chen, W. (2022). Cross-Border Architecture: Cultural hybridization and innovation under globalization. BCP Social Sciences & Humanities, 18, 526-531
Teaching
I contribute to learning and teaching activities across the Schools programmes including:
Undergraduate
- CVA130
Profile
I am a PhD researcher at Loughborough University. My research focuses on analyzing pedestrian social interactions and their relationship with urban space elements using computer vision techniques.
I hold a Master's degree in Spatial Design from UAL and have experience in heritage building revitalization research, as well as VR and AR guided tour development.Previously, I worked as a designer at the China Construction Engineering Design & Research Institute, gaining practical experience in urban design and planning. My aim is to apply these insights to create more dynamic and human-centred urban spaces, merging technology with urban design.
Professional affiliations
- University of Arts London
External activities
- Mentor of the Future Science Scholar Organization (FuSSO) organisation