Kai Cao (曹凯), Ph.D.
Professor
School of Geographic Sciences
East China Normal University
500 Dongchuan Road, Shanghai 200241, China

Research Interests

  • Geographic Information Science
  • Spatial Optimization
  • Spatial Big Data Analytics
  • Spatially Integrated Social Science

    • Selected Projects

  • BESCAM: Integration of Building Energy Simulation and Urban Canopy Modelling for Assessment of Districting Energy Demand, Collaborator
  • Opportunities for Ecological Adaptation to Flood Hazards in Major Global Cities: London, Singapore & San Francisco, Co-I (Singapore)
  • Sustainable Land Use Optimization and Planning Support: A Case Study in Singapore, PI
  • Geographical Accessibility Analysis of Healthcare Facilities for Elderly Population in Singapore, PI
  • Measuring Physical Profile and Use of Park Connector Network with Deep Learning and Multi-Source Multi-Modal Data Analytics, Co-I
  • Anthropogenic Heat Dispersion at Tropical High Density Cities, Co-I

    • Book

    [1] Comprehensive Geographic Information Systems. Vol. 3: GIS Applications for Socio-Economics and Humanity, Elsevier. Main Editor Bo Huang, Volume 3 Editors: CAO, K. and SILVA, E. A. (2016:chapters online/Hardcover:2017). ISBN: 978-0-12-804660-9.

    Selected Articles in Referred Journals (* Corresponding Author)

    [3] CAO, K.*, DIAO, M., & WU, B. (2018) A Big-Data-based Geographically Weighted Regression Model for Studying Public Housing Prices. Annals of the American Association of Geographers.
    [2] CAO, K.*, BATTY, M., HUANG, B., LIU, Y., YU, L., & CHEN, J. (2012). Spatial Multi-objective Land Use Optimization: Extensions to the Non-dominated Sorting Genetic Algorithm-II. International Journal of Geographical Information Science, 25(12), 1949-1969. (One of the top cited articles in 2013 in IJGIS)
    [1] CAO, K.*, HUANG, B., WANG, S., & LIN, H. (2012). Sustainable Land Use Optimization Using Boundary-Based Fast Genetic Algorithm. Computers, Environment and Urban Systems, 36, 257-269. doi: 10.1016/j.compenvurbsys.2011.08.001 (one of the top 3 most cited papers since 2011, as of October, 2016)