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Department of Land Economy

Environment, Law & Economics
 

Summary of Research Interests

My research interests include urban big data mining, spatial data science, geographic information visualization, and dynamic simulation. with the academic background in urban planning and geographic information system, I am interested in how the intersection of data science, geographic information science and advanced spatial analysis contributes to better urban policy-making and smart cities management.

PhD Thesis Title

Computational analysis for crowdsourced data mining when sensing urban dynamics

Supervisors and Advisor

Professor Elisabete A. Silva

 

Start Date

Michaelmas 2017

End Date

Easter 2021

College

St Edmund's College

 

Teaching and Research Experience

  • MPhil Hot Topic Lecture, RM03: Spatial Analysis and Modelling, Department of Land Economy, University of Cambridge (2019-2020, 2020-2021)
  • MPhil Small Group Supervision, RM03: Spatial Analysis and Modelling, Department of Land Economy, University of Cambridge (2019-2020, 2020-2021)
  • MPhil Small Group Supervision, RM01: Mixed-method Research Option B, Department of Land Economy, University of Cambridge ((2017-2018, 2018-2019)

 

Articles and Book Chapters

  • Silva, E.A., Liu, L., Kwon, H.R., Niu, H. and Chen, Y. and Reis, J. What’s new in urban data analytics? [in press]. In 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. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000566
  • 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. In S. Geertman & J. Stillwell, Handbook of Planning Support Science (pp. 37–55). Edward Elgar Publishing. https://doi.org/10.4337/9781788971089.00010

 

Conference Presentations

  • GIScience Research UK (GISRUK) Conference (University of London and University College London, UK) “Delineating urban functional use from Points of Interest data with Doc2Vec model” (2020)
  • Association of Collegiate Schools of Planning Annual 2020 Annual Conference (Toronto, Canada), “Delineating fine-scale urban functional use from Points of Interest data with word embedding model” (2020)
  • Data for Policy: Digital Trust and Personal Data (University College London, UK), “Successful Uses of Data Science and AI for Public Good: Machine learning the images of a city and informing urban policy making” (2019)
  • Centre for Digital Built Britain Summer Showcase 2018 (University of Cambridge, UK), “Crowdsourced Data in Mining Spatial Urban Activities: the case of multidimensional analysis of urban segregation in Cambridge and Ningbo” (2018)
  • The Early Career Researchers’ Conference (University of Cambridge, UK), “Crowdsourced Data in Mining Spatial Urban Activities” (2018)

Contact Details

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