Dr Fangqing Song

Dr Fangqing Song

Profile

Fangqing Song is a Research Fellow at the Institute for Transport Studies (ITS), working on the project ‘TOwards Zero-Carbon Aviation’ (TOZCA). Her current research interests lie in modelling air passenger behaviour in the context of net-zero aviation with consideration of 'softer factors' including changes in people's attitudes and perceptions, social norms, etc., and capturing the underlying heterogeneity in the behaviour of travellers in different parts of the world. Fangqing completed her PhD at the same institute in 2019 with the thesis entitled ‘Understanding mode choice behaviour when new modes come into play’. Before rejoining ITS in late 2021, she worked at University College London as a research fellow on travel behaviour modelling related to future mobility services (e.g. MaaS, carsharing, drone delivery, green aircraft).

Research interests

  • Travel behaviour
  • Choice modelling
  • Preference heterogeneity
  • Future mobility
  • Emission reduction
  • Technology acceptance
  • Mobility tool ownership
  • Survey design
  • Railway operation and management
<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://environment.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>

Qualifications

  • PhD in Transport Studies (Choice Modelling), University of Leeds, UK
  • MSc in Transport Planning and Management, Tongji University, China
  • BSc in Rail Transportation, Southwest Jiaotong University, China

Student education

Previous MSc students:

  • Qianqian Meng (2021, UCL): Munich residents’ acceptance of carsharing amid COVID-19
  • Bixin Pan (2021, UCL): Public acceptance of carsharing service in Copenhagen, Denmark: Key socio-demographic Drivers, Attitude Gap, and COVID-19 Impact 
  • Fangyuan Shao (2021, UCL): Uncovering the factors behind public acceptance of green aviation, case of England

 

 

Research groups and institutes

  • Choice Modelling