google-site-verification: google27d592b2362523c4.html skip to primary navigationskip to content

Department of Land Economy

Environment, Law & Economics

Studying at Cambridge

 

Yiqiao Chen

Biography:

PhD student at the Dept of Land Economy and a member of Churchill College. She holds an MPhil in Planning, Growth and Regeneration from the Dept of Land Economy, University of Cambridge. Yiqiao is exploring the integration of Agent-based model with new dataset beyond Census in simulating smart governance in several growing and shrinking UK cities. Her research interests cover urban data analytics, dynamic simulation modelling, urban processes (i.e. growth, shrinkage and regrowth) and smart transportation governance.

Research Interests

dynamic simulation models; agent-based model; data analytics; urban (re)growth and shrinkage; smart city; urban complexity

Research Supervision

PhD Thesis Title: -

Supervisor: Dr Elisabete Silva & Dr Jose Reis

Start Date:  2018

College: Churchill

Teaching

Mphil Supervision, Spatial Analysis and Modelling (RM03), Department of Land Economy, University of Cambridge (2019-2020)

Mphil Supervision, Urban and environmental policy (PGR01), Department of Land Economy, University of Cambridge (2019-2020)

MPhil Demonstration, Mixed research methods (RM01), Department of Land Economy, University of Cambridge (2018-2019)

Other Professional Activities

Conference Organiser, The Early Career Researchers’ Conference (ECRC) 2019 (Department of Land Economy, University of Cambridge, UK)

Invigilator, Churchill College, University of Cambridge (2017-2019)

Keywords

Public Policy ; Public Engagement ; Modelling

Key Publications

Full papers published in peer review journals:

Chen, Y., Silva, E.A. and Reis, J., (Forthcoming) Measuring policy debate in a regrowing city by sentiment analysis using online media data: a case study of Leipzig 2030, Regional Science Policy & Practice

 

Book Chapter:

Silva, E.A., Liu, L., Kwon, H.R., Niu, H. and Chen, Y., 2020. Hard and soft data integration in geocomputation: mixed methods for data collection and processing in urban planning. In Handbook of Planning Support Science. Edward Elgar Publishing.