Zhang Xiamengwei is currently a graduate student in Environmental Design at Capital Normal University. Her research focuses on human-centered public space analysis, with a particular interest in how urban environments influence human behavior, preferences, and perception. She is dedicated to exploring interdisciplinary pathways between urban planning and artistic design, integrating artificial intelligence, vision-language models, and multisource data analytics to investigate the interaction between spatial structures and human activity patterns in public space. Her work aims to promote more inclusive, equitable, and vibrant urban environments
Research Theme
- Street Utilization and Inclusiveness in Urban Public Spaces
Applying crowdsourced videos and vision-language models to analyze pedestrian volume, demographic composition, and activity diversity across street networks. This work aims to promote inclusive, equitable, and vibrant public spaces by revealing spatial disparities in how different demographic groups engage with urban streets.
Peer – Review Paper
- Yang, Jingkang, et al. “Egolife: Towards egocentric life assistant.” Proceedings of the Computer Vision and Pattern Recognition Conference, 2025.
Conference
- Zhang, X., & Chen, M. A city through delivery riders: Measuring the utilization and inclusiveness of public street spaces | 2025 ACSP (Annual Conference of the Association of Collegiate Schools of Planning) (Accepted)
- Xie, Mingyang, Xiamengwei Zhang, and Yujia Zhou. “Research on the Application of Parametric Morphogenesis in Bamboo Construction Devices–Taking Bamboo Cove as an Example.” Innovative Design and Intelligent Manufacturing. IOS Press, 2024. 647-655.