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Department of Land Economy

Environment, Law & Economics
BArch, MPhil, PhD (Cantab)


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 and MPhil in Land Economy Research.

Dr Li Wan is available for consultancy.

Website of Dr Li Wan's Research Group


• 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


Recent Research Projects:


Key publications: 

Wan, L. et al. (2021). Estimating commuting matrix and error mitigation – A complementary use of aggregate travel survey , location-based big data and discrete choice models. Travel Behaviour and Society25(June 2020), 102–111.

Wan, L. et al. (2021). Understanding non-commuting travel demand of car commuters – Insights from ANPR trip chain data in Cambridge. Transport Policy106(March), 76–87.

Nochta, T., Wan, L., Schooling, J. M., & Parlikad, A. K. (2020). A Socio-Technical Perspective on Urban Analytics: The Case of City-Scale Digital Twins. Journal of Urban Technology, 1–25.

Tang, J.; Wan, L.; Nochta, T.; Schooling, J.; Yang, T. (2020) Exploring Resilient Observability in Traffic-Monitoring Sensor Networks: A Study of Spatial–Temporal Vehicle Patterns. ISPRS Int. J. Geo-Inf. 20209, 247.

Wan, L., & Yin, L. (2019). Confusion of Goals — Rethinking the Implication of Data Analytics and Modelling for Urban Planning and Design Industry. Landscape Architecture Frontiers, 7(6), 38-49.

An, Y.; Wan, L. (2019) Monitoring Spatial Changes in Manufacturing Firms in Seoul Metropolitan Area Using Firm Life Cycle and Locational Factors. Sustainability11(14), 3808;

Wan, L., Nochta, T., & Schooling, J. (2019) Developing A City-level Digital Twin - Propositions and A Case Study. International Conference on Smart Infrastructure and Construction.

Nochta, T., Wan, L., Schooling, J. M., Lemanski, C., Parlikad, A. K., & Jin, Y. (2019). Digitalisation for smarter cities: moving from a static to a dynamic view. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction0(0), 1–14.

Wan, L., & Jin, Y. (2019). Assessment of model validation outcomes of a new recursive spatial equilibrium model for the Greater Beijing. Environment and Planning B: Urban Analytics and City Science, 46(5), 805–825.

Jin, Y., … Wan, L. et al. (2017). Environmental impacts of transformative land use and transport developments in the Greater Beijing Region: Insights from a new dynamic spatial equilibrium model. Transportation Research Part D: Transport and Environment

Wan L. et al. (2017). Big Data and Urban System Model – Substitutes or Complements? A Case Study of Modelling Commuting Patterns in Beijing. Computers, Environment and Urban Systems.

Wan L. & An Y. (2017). Identifying the Growth Patterns of High-Tech Manufacturing Industry across Seoul Metropolitan Area Using Latent Class Analysis. Journal of Urban Planning and Development, ASCE.

Google Scholar Profile

Other publications: 

Policy Report

UK2070 Futures: Post-Covid Scenario Modelling (For the UK2070 Commission)

Teaching and Supervisions


Tripos Paper 10 - The Built Environment

PGR02 - Urban and Housing Policy

University Lecturer (Assistant Professor)
Director for the MPhil in Planning, Growth and Regeneration
Dr Li  Wan

Contact Details

Email address: 


Person keywords: 
Public Policy