Summary
Liang Ma is a Research Associate at the Transport Strategy Centre (TSC) within the Centre for Transport Studies, Imperial College London.
She completed her PhD on Causal Impacts of Transport Interventions on Air Quality at Imperial College London in 2021, supervised by Dr. Marc E.J. Stettler and Prof. Daniel J. Graham. She received a first-class MSc degree in Transport with Business Management from Imperial College London in 2014, and an outstanding graduate award from Dalian Maritime University with a BSc in Transport Management (Port Operation & Management) and a BA in English in 2013. She has been working as a data scientist and urban planner in the Technology Innovation Centre at the Beijing Tsinghua Tongheng Urban Planning & Designing Institute for over 2 years.
Her main research field and project experience lie in big data applications in transport and urban planning. This includes quantitative studies on job-housing balance, spatial-temporal individual behaviours, public transport assessment with fine-granularity data, relationships between road traffic and land use pattern, model development with advanced machine learning methods, etc.
Her postdoctoral research focuses on evaluating the causal impacts of transport interventions on air quality and public health with a series of causal inference methods and machine learning methods.
Publications
Journals
Ma L, Graham DJ, Stettler MEJ, 2023, Using Explainable Machine Learning to Interpret the Effects of Policies on Air Pollution: COVID-19 Lockdown in London, Environmental Science & Technology, ISSN:0013-936X
Ma L, Graham D, Stettler M, 2021, Has the Ultra Low Emission Zone in London improved air quality?, Environmental Research Letters, Vol:16, ISSN:1748-9326, Pages:1-16
Ma L, Graham DJ, Stettler MEJ, 2021, Air quality impacts of new public transport provision: A causal analysis of the Jubilee Line Extension in London, Atmospheric Environment, Vol:245, ISSN:1352-2310, Pages:118025-118025