Transport and mobility
Our research uses new forms of data to better understand travel behaviour in cities.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.
Changing travel behaviour
Understanding current travel behaviour is only part of a transport planner’s job as achieving targets relating to decarbonisation, air quality and physical activity will inevitably require substantial changes in how we travel.
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Methodological challenges of digital footprint data for mobility analysis
Digital footprint data offers a variety of new and exciting opportunities for transport planners. However, with these new opportunities come new challenges. This work packages uses a variety of different forms of digital footprint data and works to understand where the data can make a valuable contribution.
Accessing people, places and activities
The climate emergency has given fresh impetus for cities to rethink their transport systems. In many cases, the excessive use of private cars is a challenge which must be addressed.
Active travel: Data and Behaviour
The benefits of active travel for improving public health and environmental sustainability have been well established, and many countries are making substantial investments to encourage active modes.
Jointly funded by
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