Yuanxuan Yang

Yuanxuan Yang杨源譞

Lecturer in Data Science of Transport Institute for Transport Studies, University of Leeds

I use spatial data science and computational methods to understand mobility inequality in cities: who gets access to good transport, which neighbourhoods are systematically underserved, and what new forms of data can reveal about the people and places that conventional transport analysis leaves behind.

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Research interests.

Combining computational methods with transport policy questions, producing both new analytical tools and findings directly useful for practice.

01 / EQUITY

Transport Equity & Mobility Inequality

Understanding how urban transport systems produce and reproduce spatial inequality: who is systematically excluded from mobility, which places are underserved, and what high-resolution data can reveal about the gap between provision and genuine need.

SPATIAL INEQUALITY GEODEMOGRAPHICS ACCESS
02 / METHODS

Spatial Data Science & Computation

Developing and applying computational methods, including graph-based network analysis, geospatial machine learning, spatiotemporal trajectory analysis, and large language models, to extract insight from complex urban and transport datasets.

GRAPH ANALYSIS MACHINE LEARNING TRAJECTORIES
03 / SYSTEMS

Emerging & Sustainable Transport

Examining adoption, behaviour, and well-being outcomes across new forms of urban mobility, from shared bikes and e-scooters to emerging services, focusing on who benefits and how inclusive design can support sustainability transitions.

BIKE SHARING E-SCOOTERS WELL-BEING
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Selected publications.

First-author papers in high-impact journals. My name is highlighted in each author list.

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Research projects.

Active and past funded projects and collaborations.

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Room 2.14, Institute for Transport Studies
34–40 University Road, Leeds LS2 9JT