University Lecturer in Chinese Urban Development. Dr Li Wan is interested in understanding the urban development processes, particularly those related to land use and transport, through advanced data analytics and urban system models. Prior to joining the Land Economy, he worked as a researcher at the Department of Architecture and the Centre for Smart Infrastructure and Construction at the University of Cambridge. He has been developing and applying computational models of cities and the infrastructure systems for cities in China (Beijing-Tianjin-Hebei, Guizhou, Wuhan, Chengdu), South Korea (Seoul) and UK (Cambridge), and in the process, collaborating closely with architects, urban designers, planners, engineers, economists, real estate developers and policy makers.
Dr Li Wan is accepting applications for PhD students.
Dr Li Wan is available for consultancy.
• Co-developing A City-level Digital Twin for Cambridge – A case study of the Cambridge Biomedical Campus (PI, funded by the Innovate UK- CSIC Industrial Secondment Scheme)
• Model-based Policy Study for Local Economic Development in Chengdu, China (PI, in collaboration with the Beijing Institute of Architectural Design, 2019-2020)
• A City-Level Digital Twin Experiment for Exploring the Impacts of Digital Transformation on Journeys to Work in the Cambridge Sub-region (Acting PI, funded by the Centre for Digital Built Britain, 2018-2019)
• Digital Cities for Change (Co-I, funded by The Ove Arup Foundation, 2018-2020)
Urban land-use and transport; Location and travel choices; Inter-disciplinary modelling of urban and infrastructure systems; Model-based development policy studies; The integration of big data and urban system modelling
Jerry received his Bachlors in Economics from Boston College in 2018, and subsquently a Masters in International Public Health from Imperial College London. He has industry experience in investment banking, consulting, and development finance. Jerry is a member of Queens' College, and the inaugral recipent of the Queens' Stamps Scholarship.
Understanding the Causal Relationship between Urban Built Environment and Wellbeing
Human-centric Urban Planning, Spatial Economics, Wellbeing Science
Qiancheng is a PhD candidate in Land Economy since 2020. He is interested in topics about sustainable urban development and is working on a new spatial equilibrium model for quantifying the environmental impacts of alternative urban spatial planning strategies for fast-growing city regions. Before joining in Land Economy, Qiancheng obtained his MPhil in Architecture and Urban Studies at the Department of Architecture and his BSc (Hons) in Building Engineering and Management with a Minor in Applied Mathematics at Hong Kong Polytechnic University. During his undergraduate and master's studies, Qiancheng's works covered energy-efficient building systems, sustainable construction methods and pro-environmental behaviours. His PhD research is financially supported by both China Scholarship Council and Cambridge Commonwealth, European and International Trust.
Developing a New Spatial Equilibrium Model for quantifying the Energy Impacts of Alternative Urban Spatial Planning Strategies for Fast-growing City Regions: A Case Study of Greater Beijing, China
Urban Land-Use and Transport
BSc in Economics and Finance (University of Manchester 2015-2018);
Advanced Diploma in Economics (University of Cambridge 2018-2019);
Mphil in Economics (University of Cambridge 2019-2020);
PhD in Land Economy (University of Cambridge 2020-now)
Complements or Substitues: Greenbelt and Congestion Charge Policy For Post-pandemic City Regions - Insights From A New Spatial Equilibrium Model For The Greater Bay Area In China
Computable spatial general equilibirum model, Planning policy, Greater Bay Area
Land Economy, Phd, University of Cambridge, 2020- present
Urban Planning, MSc, National University of Singapore, 2018-2020
Geographical Information Science, BSc, Northeast Normal University, 2014-2018
Examine the Spatial Economic Impact of Singapore’s Ethnicity Integration Policy
Urban Big Data Analytics, Housing Policy, Urban Planning
Tianyuan started her PhD study at department of Land Economy in 2021. Through data science and advanced statistical modelling, she is interested in delivering scientific and evidence-based policy implication to support urban development. Before starting the PhD, she holds MPhil in Land Economy Research degree from Cambridge with distinction. She has been awarded 2021 Selwyn Masters Scholarship and her PhD study is fully funded by CSC Cambridge International Scholarship.
Explore the causal relationship between land use and the quality of urban infrastructure services (MPhil)
Land use, Land finance, Data science, Statistical modelling, Urban data analytics
University of Cambridge, MPhil in Land Economy Research, 10/2020-09/2021
Wuhan University, Master’s Degree in World Economics, 09/2015-06/2018
Wuhan University, Bachelor’s Degree in Finance (Minor), 02/2013-06/2015
Wuhan University, Bachelor’s Degree in Remote Sensing Science and Technology, 09/2011-06/2015
An interdisciplinary method for generating large-scale longitudinal urban expansion data using night-time light data – A case study of 600+ Chinese cities
Night-time Light Data, Interdisciplinary Research, Urban Economics