Cambridge Centre for Dr Haifeng Niu
Research Associate: Spatial Analyst
Contact information
Department of Land Economy
Cambridge
CB3 9EP
United Kingdom
https://www.landecon.cam.ac.uk/directory/haifeng-niu
https://haifengniu.com/
https://www.landecon.cam.ac.uk/research/research-centres/lisa/research#six
Biography
Haifeng is a research associate (Spatial Analysts) in Department of Land Economy for the Horizon 2020 funded eMOTIONAL Cities project. His PhD was finished in the Lab of Interdisciplinary Spatial Analysis at the Department of Land Economy. His research investigate the potential of big data (e.g., geotagged social media data and points of interest data) in the urban context to sense land use change, human activity patterns and public opinions.
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Research interests
His research focuses on how the intersection of data science and advanced spatial analysis contributes to better urban policy-making and smart cities management. His research is centred in Urban Big Data Mining, Spatial Data Science & AI, Geovisualization, Urban Analytics and Data-driven Smart Governance.
Keywords
Data science, Smart cities, Social media
Publications
Niu, H., & Silva, E. A. (2021). Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London. Computers, Environment and Urban Systems, 88, 101651.
Silva, E. A., Lun, L., Heeseo Rain, K., Haifeng, N., Yiqiao, C., & Jose, R. (2021). What’s New in Urban Data Analytics? In A. Rae & C. Wong (Eds.), Applied Data Analysis for Urban Planning and Management. SAGE.
Niu, H., & Silva, E. A. (2020). Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods. Journal of Urban Planning and Development, 146(2), 04020007.
Silva, E. A., Liu, L., Kwon, H. R., Niu, H., & Chen, Y. (2020). Hard and soft data integration in geocomputation: Mixed methods for data collection and processing in urban planning. Handbook of Planning Support Science.