ACADEMIC CAPABILITIES

University of Leeds

Institute for Transport Studies

Overview

Our aim is to enhance understanding of the economics of rail transport demand and supply, rail operation and control, and the economic value of rail technical innovation and investment. Our unique perspective comes from taking a multi-disciplinary approach, in particular combining rail engineering and technical research with economics and operations, such that technical innovations that deliver social welfare gains can be identified. We also have a strong focus on the study of structural rail reforms, regulation, governance and incentives. Whilst our background over the last 50 years has been strongly in the area of rail economics, over the last 5 to 10 years this expertise has broadened to include an additional focus on railway operations including, network modelling, simulation and optimisation; digital train control; ERTMS; Signal optimisation and route choice. It has been agreed that ITS will lead the new UKRRIN Centre of Excellence in Railway Economics, Policy and Operations (CEREPO), working with Universities of Birmingham and Southampton, and drawing in other expertise from other UK Universities.

Core areas of research include:
Economic growth and welfare impacts of new rail investment
Economic appraisal/business case of rail technical innovations
Modelling railway performance (costs and efficiency)
Structure of charges, marginal cost estimation and incentives for implementation
Valuing aspects of rail (e.g. reliability, crowding, accessibility)
Rail demand forecasting, visioning futures – long term needs
Rail regulation pricing and the impact of international rail reforms
Rail operation and control
Rail operations and optimisation (“Digital Railway”)
Signalling and train control (ATO, ETCS Level 2/3)
Dynamic timetable optimisation
Application of AI in railway
Infrastrcuture resilience and value of resilience

Our impact: The UK Department for Transport’s WebTAG appraisal guidelines have for many years specified monetary valuations of travel time savings and noise directly from our research. The economic case for HS2 used these valuations. In the Passenger Demand Forecasting Handbook, our work on understanding trends in rail travel has underpinned the recommended elasticities to GDP over many years. Our research for the Passenger Demand Forecasting Council and the Office of Rail Redulation led to major updates in the parameters used to forecast changes in reilability; these new parameters were implemented in ORR’s 2013 Schedule 8 update. Our research on the marginal cost of vehicles running on rail networks in Europe was used to inform the European Commissions’s recasting of market access legislation. Train speed optimisation: tested on Beijing Metro Line 7 resulting in 11% reduction in traction energy consumption.

UKRRIN status

UKRRIN affiliate member

Centre of Excellence in Rail Economics Policy and Operations (CEREPO) Lead

Member of the Centre of Excellence in Infrastructure (CEI)

Institute for Transport Studies – Fact File (2026-27) 

18 Research staff

25 PhD students

180 Masters students

115 Publications

Capability matrix

CAPABILITY
CAPABILITY LEVEL
Easy to use for all
Accurate, accessible and understandable real-time information
Smart fare collection
Accessible to all
Multi-modal integrated journeys
Reliable and fast on-board connectivity
Freight friendly
Increased network access for freight
Safer freight operations and better asset management
Enable greater intermodality and access for freight customers
Greater asset utilisation and reduced freight journey times
Low carbon freight and On Track machines
Low emissions
Efficient new electrificaiton
Zero carbon self-powered vehicles
Low carbon freight and On Track machines
Intelligent energy management
Cleaner air
Quieter railway
Lowering embodied carbon of key material
Optimised train operations
Infrastructure and train capabilities to overcome capacity constraints
Simpler and safer real-time operations and decisions
Improved recovery from incidents and disruptions
Reliable and flexible train planning
More affordable solutions for lower-use lines
Efficient and reliable - infrastructure
“Right-time” actionable insights on infrastructure conditions
Efficient, effective and safe infrastructure maintenance
Improved resilience of infrastructure to climate change and extreme weather events
Speed up and de-risk introduction of infrastructure assets
Proactive management of infrastructure obsolescence
Efficient and reliable - rolling stock
“Right-time” actionable insights on rolling stock conditions
Efficient, effective and safe rolling stock maintenance
Improved resilience of rolling stock to climate change and extreme weather events
Speed up and de-risk introduction of rolling stock assets
Proactive management of rolling stock obsolescence
Efficient and reliable - interfaces
Improved vehicle/track interaction
Improved pantograph/overhead line interaction
Improved utilisation of constrained space
Improved whole system resilience
Data driven
Advanced computing
Advanced data analytics techniques
Data governance and standardisation
Data integration
Effective innovation culture
System and network models
Pro-innovation legal and regulatory frameworks
Testing, homologation, cross acceptance
Technically talented workforce
Job design and human performance
Workforce development and training
Safety and health
Safety assessment and evaluation
Cyber security
Fitness for duty and health assessment
Competitiveness
Demand forecasting
Cost modelling
Social value

Research Group key contacts

Name: Andrew Smith, Professor of Transport Performance and Economics
Email: a.s.j.smith@its.leeds.ac.uk

Name: Ronghui Liu, Professor of Networks and Transport Operations
Email: R.Liu@its.leeds.ac.uk

Website

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