Biography
Dr Li Wan, Associate Professor in urban planning and development, and Fellow & Director of Studies in Land Economy, Gonville and Caius College. 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
Tang, J., Wan, L. et al. (2022). Automatic number plate recognition (ANPR) in smart cities: A systematic review on technological advancements and application cases. Cities, 129(October), 103833.
Tian, L., … Wan, L. et al. (2022). Mobility restrictions and their implications on the rental housing market during the COVID-19 pandemic in China’s large cities. Cities, 126(April), 103712.
Li, L., & Wan, L. (2022). Understanding the Spatial Impact of COVID-19: New Insights from Beijing after One Year into Post-Lockdown Recovery. Lincoln Institute Working Paper.
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.
Wan, L., Tang, J., Wang, L., & Schooling, J. (2021). Understanding non-commuting travel demand of car commuters – Insights from ANPR trip chain data in Cambridge. Transport Policy, 106(March), 76–87.
Nochta T., Wan, L., Schooling J. & Parlikad, A.K. (2020) A socio-technical perspective on urban analytics: the case of City-scale Digital Twins. Journal of Urban Technology, 28(1-2), 263-287.
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 International Journal of Geo-Information, 2020, 9, 247.
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, 171(4), 117-130.
Wan, L., Nochta, T., & Schooling, J. (2019) Developing a city-level digital twin–propositions and a case study. In International conference on smart infrastructure and construction 2019 (ICSIC) driving data-informed decision-making (pp. 187-194). ICE Publishing.
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.
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.
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, 143(3), 04017011.
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, 68, 64-77.
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, 52, 548-561.
An Y. & Wan L. (2017). Modelling Industrial Firm Relocation with Impacts of Spatial Dependence. International Journal of Urban Sciences, 22(1), 80-103.
Dai, L., Wang, S., Xu, J., Wan, L., & Wu, B. (2017). Qualitative analysis of residents’ perceptions of tourism impacts on historic districts: a case study of Nanluoguxiang in Beijing, China. Journal of Asian Architecture and Building Engineering, 16(1), 107-114.
Teaching and Supervisions
Tripos Paper 10 - The Built Environment
PGR02 - Urban and Housing Policy
PGR05 - Place-based Policy
