Our research uses new forms of data to better understand travel behaviour in cities.

We examine how people respond to new investments in transport infrastructure and new transport services including autonomous vehicles and ride-hailing services. And we study how access to public transport varies across urban areas, how this impacts on ridership and access to other opportunities.

Transport is a key urban sector with inextricable links to other sectors such as housing, environment, energy, and the economy. Big data such as that from traffic sensors or smartphone apps can be combined with traditional data such as those from travel surveys, allowing transport researchers to investigate global challenges in transport more rigorously. We collect and validate several new forms of transport data, and use approaches such as simulation, advanced statistical modelling, and machine learning to provide actionable insights to planners, policy makers, and industry.

Theme Lead

Dr David McArthur

Learn more about our work on Transport & Mobility by exploring the research projects below.

Infrastructure investments and active travel

The benefits of cycling for improving public health and environmental sustainability have been well established,...

Public transport ridership and accessibility

The climate emergency has given fresh impetus for cities to rethink their transport systems. In many cases, the...

Mobile phone app data for mobility analysis

Research on people’s movements is essential to planning and managing cities better. Transport planners need to...

Evaluation and integration of personal/portable sensors

Various portable sensors, smartphone apps, wearable devices, and user-generated data, along with traditional sur...