Dr Chen Zhong

Brief Bio

I joined the Department of Geography at King’s College London in September 2016 as Lecturer in Spatial Analysis. Prior to this, I was a Research Associate at the Centre for Advanced Spatial Analysis (CASA), University College London (2014-2016). From 2011-2014, I was a Research Assistant and PhD student at the Future Cities Laboratory in Singapore at ETH Zurich Centre. In 2010, I acted as Research Assistant at Cerma, Ecole Centrale de Nantes, and later at AVIZ, INRIA, Saclay-Île-de- France, France.

I was trained as a GIS engineer. I obtained B.Engineering (2008), and MEng (2010) from Wuhan University, China, and a PhD from Architecture Department, ETH Zurich (2014).

Research Interests

Chen’s research interests include spatial data mining, spatiotemporal visualisation, complex network analysis, and the use of such analytical techniques for urban and transport planning. She is particularly interested in urban mobility analysis and modelling using new data sets such as smart-card data and social media data and looking into various urban contexts. Her research is in the direction of big data informed urban planning and policy making.

Related mobility data mining projects include her PhD research project on detecting functional urban changes from urban movement patterns in Singapore; postdoctoral research on travel behaviour analysis and modelling using Oyster card data in London; and comparative studies of regularities in London and Beijing; ongoing projects about web mapping of tweets data, and accessibility and segregation analysis in London and Sao Paulo. Recently, she has initiated new collaboration on data-informed urban planning methods in China.

THEMATIC RESEARCH AREAS (METHODOLOGICAL RESEARCH)

  • Urban mobility (focusing on travel behaviour and urban activity patterns)
  • Transport geography (urban form, spatial structure, spatial interaction, spatial network, accessibility analysis)
  • Spatial analysis and modelling (focusing on the use of automatic generated human mobility data such as smart card data and social media data)
  • Geo-visualization (spatiotemporal visualisation, web mapping)
  • Urban planning and transport planning (data-informed planning methods)

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