Greetings! I’m Liuxiang, a Ph.D. candidate in Transport Planning and Policy at Tongji University, focusing on Urban Corridor Transport Planning: Theory and Practice. My research explores the integration of spatial dynamics and transport planning to enhance urban mobility and sustainability.

I am passionate about using advanced analytical methods and data-driven strategies to address complex transportation issues. My work involves extensive use of GIS, spatial analysis, and machine learning techniques to understand and improve transportation systems.


Research Highlights


Education

  • Ph.D. Transport Planning and Policy, Tongji University, China, Expected 2024
  • M.S., Transport and Planning, Cardiff University, UK, 2016
    • Thesis: “Analysis of Urban Transport Policies and Their Impact on Public Health”
  • B.S., City and Regional Planning, Cardiff University, UK, 2015
    • Thesis: “The Role of Public Transport in Urban Development”

Publications

  • Transportation Research Part D: Transport and Environment (Travel impedance, the built environment, and customized-bus ridership).
  • Journal of Transport Geography (Effects of buffer size on metro ridership: A machine learning-based analysis).
  • Regional Studies, Regional Science (Geovisualizing evolving population and built-up area in China, 2010–20).
  • Urban Planning International (Exploration of new coastal defense projects in the Netherlands).
  • Urban Transport of China (A Review of The Future of Mobility 3.0: Reinventing Mobility in the Era of Disruption and Creativity).
  • Journal of Transportation Systems Engineering and Information Technology (Effects of Built Environment on Metro Ridership Considering Stage of Growth).
  • Shanghai Urban Planning Review (Thoughts on Shanghai New Town and New Town Transportation).
  • Urban Planning Forum (New Patterns of Urbanization in the New Development Stage: The Concept and Identification Standards of Modern Metropolitan Areas, Perspective on study of urban science).
  • Bulletin of Chinese Academy of Sciences (New opportunities for urban science research).
  • Traffic and Transportation (Public Transit Accessibility Evaluation Model for Urban Spatial Opportunities from an Equity Perspective).

See the full list here: Google Scholar


Awards

  • Outstanding Ph.D Student Scholarship, Tongji University, 2023
  • International Exchange Program Scholarship, Tongji University, 2023.
  • Jinjingchang China Planning Review Outstanding Paper Award, Urban Planning Society, 2023.

Reviews

  • Journal Article Reviewer
    • Transportation:
      • Transportation Research Part D: Transport and Environment;
      • Journal of Cycling and Micromobility Research.

Skills

  • Programming
    • Python (pandas, pytorch, sklearn), Spatial Analysis Tools (ArcGIS, QGIS, sDNA, depthMapX)
  • Statistics
    • Regression (Generalized linear models: Poisson, NB, Zero-Inflated), Causal Inference (PSM), Spatial Econometrics (GWR, GTWR), Discrete Choice Models (Multinomial, Mixed)
  • Machine Learning
    • Tree Models (Random Forest, GBDT, XGBoost), Explainable AI (SHAP)
  • Design Software
    • Adobe Photoshop, Illustrator, InDesign, AutoCAD