Biography
Dr Li Wan, Assistant Professor at the Department of Land Economy, University of Cambridge. He is interested in spatial economic modelling of urban land use and transport. Dr Li Wan is the Director for the MPhil in Planning, Growth and Regeneration. He is a co-investigator of the Centre for Smart Infrastructure and Construction. His recent research projects include exploring a social-technical approach for developing novel digital tools for city planning through a series of case studies in Cambridge, and examining the role of micromobility and governance in facilitating the transition towards low-carbon transport.
Dr Li Wan is accepting applications for PhD and MPhil in Land Economy Research.
Dr Li Wan is available for consultancy.
Research
• 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:
- 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)
- Greater Cambridge long-term economic scenario tests – model analysis for the Cambridgeshire and Peterborough Independent Economic Review (CPIER) (Modelling lead, funded by Cambridge Ahead, Cambridgeshire and Peterborough Combined Authority, 2017-2019)
- Modelling regional disparity in the UK - model analysis for the UK2070 Commission (Modelling lead, funded by the UK2070 Commission, 2019)
- Urban Modelling and Big Data Analysis for the Masterplanning of Tongzhou, Beijing (北京市通州城市副中心总体规划研究– 大数据与模型专题) (Modelling lead, funded and in collaboration with Beijing Municipal Commission of Urban Planning, 2016-2018)
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 Society, 25(June 2020), 102–111. https://doi.org/10.1016/j.tbs.2021.04.012
Wan, L. et al. (2021). Understanding non-commuting travel demand of car commuters – Insights from ANPR trip chain data in Cambridge. Transport Policy, 106(March), 76–87. https://doi.org/10.1016/j.tranpol.2021.03.021
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. https://doi.org/10.1080/10630732.2020.1798177
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. 2020, 9, 247. https://doi.org/10.3390/ijgi9040247
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. https://doi.org/10.15302/J-LAF-1-020014
An, Y.; Wan, L. (2019) Monitoring Spatial Changes in Manufacturing Firms in Seoul Metropolitan Area Using Firm Life Cycle and Locational Factors. Sustainability, 11(14), 3808; https://doi.org/10.3390/su11143808
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. https://doi.org/10.1680/icsic.64669.187
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 Construction, 0(0), 1–14. https://doi.org/10.1680/jsmic.19.00001
Wan, L., & Jin, Y. (2017). 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. https://doi.org/10.1177/2399808317732575
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. https://doi.org/10.1016/j.trd.2016.12.009
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. https://doi.org/10.1016/j.compenvurbsys.2017.10.004
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. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000397
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
