Archived

How does the capability and capacity of Local Transport Authorities influence the delivery of transport policy developed by central government?

Background

Government is committed to ‘levelling up’, so that every corner of the country can benefit and share in future prosperity. Transport connectivity is an essential input into the efficient functioning of markets, reducing the costs of doing business and supporting linkages between key sectors of the economy. More efficient and faster delivery of major projects are fundamental to job creation and so a key lever for economic growth and our recovery from Covid-19. We are therefore enhancing the national strategic transport network, shifting the focus of DfT investment towards major projects that link the towns, cities and left behind places outside of London and the South East.

Key areas of focus are:
• More productive cities and towns
• Support local growth and regeneration
• Support jobs and skills
• Improve networks between major economic centres, and with international gateways
• Strengthening the Union

Delivery of major programmes such as HS2, the Integrated Rail Plan, TransPennine Route Upgrade, the Williams-Shapps Plan for Rail and the Roads Investment Strategy are fundamental to job creation and a key lever for economic growth and our recovery from Covid-19. Further commitments are outlined in the UK R&D Place Strategy which is being published this year as part of the UK R&D Roadmap. The research and evidence needs set out below are critical to supporting DfT deliver these major programmes and key areas of focus to grow and level up the economy.

Next steps

Get in touch with BridgetoResearch@dft.gov.uk

Source

This question was published as part of the set of ARIs in this document:

Areas of research interest 2021

Related UKRI funded projects


  • Transport investments and spatial economic performance

    The research is seeking to understand the implications of transport investments for the spatial economy by identifying effects on workers and firms (e.g. productivity, employment, wages). The research will provide the fi...

    Funded by: ESRC

    Lead research organisation: London School of Economics and Political Science

    Why might this be relevant?

    The project aims to understand the implications of transport investments for the spatial economy and assess the implications of the findings for DfT scheme appraisal, which directly relates to the question.

  • Metrocare: Strategic decision-making for integrated urban infrastructure

    Cities throughout the world face long term strategic challenges in delivering large scale physical infrastructure development whilst addressing social and economic changes and challenges. In delivering such major program...

    Funded by: Innovate UK

    Lead research organisation: UNIT 9 LIMITED

  • Transport Infrastructure Efficiency Strategy Living labs

    Over the next few years, the construction sector will witness a wave of infrastructure projects (£60 billion of spend each year over the next decade) and ground work will be undertaken to set future financial settl...

    Funded by: ISCF

    Lead research organisation: NSAR LIMITED

    Why might this be relevant?

    The project addresses the efficiency and capacity issues in delivering transport infrastructure, aligning with the question's focus on the capability and capacity of Local Transport Authorities.

  • Multi-Level Governance, Transport Policy and Carbon Emissions Management

    The Climate Change Act (2008) places a legally binding requirement on the UK Government to set targets and report on progress on climate change emission reductions. The transport sector contributes one-third of total UK ...

    Funded by: ESRC

    Lead research organisation: University of Leeds

  • City Modelling Lab - Alpha Pandemic Activity Modelling to help our cities reopen safely

    As the coronavirus descended on the UK, the initial focus of our city councils and transport agencies has been on coping with managing unprecedented changes to daily life and preparing to support healthcare workers. The ...

    Funded by: Innovate UK

    Lead research organisation: OVE ARUP & PARTNERS LIMITED

  • oneTRANSPORT: A oneM2M-based Open Ecosystem for Nationwide Transport Integration

    oneTRANSPORT aims to make transport more user friendly & accessible by deploying the world’s first open & scalable platform enabling multi-modal & multi-system transport integration across Local Authorities....

    Funded by: Innovate UK

    Lead research organisation: INTERDIGITAL EUROPE LIMITED

  • FREEFLOW

    FREEFLOW aims to fundamentally change how we use transport data, by using it to generate transport intelligence. Currently we are collecting more (and better) data about our transport networks, such as journey times and ...

    Funded by: EPSRC

    Lead research organisation: Imperial College London

  • An online simulation of recovery from lockdown

    Lifting lockdown raises big questions for towns and cities. What happens to transport and employment if restricted categories of people are allowed to travel, for limited purposes? If extended social distancing reduces p...

    Funded by: Innovate UK

    Lead research organisation: STEER DAVIES & GLEAVE LIMITED

  • The Role of Demand Responsive Transport in Connecting People to Opportunities in Less Densely Populated Areas

    The Government's National Bus Strategy 'Bus Back Better' seeks to arrest the decline in bus provision and use. It sees an important role for Demand Responsive Transport (or DRT) in lower-density areas not served well by ...

    Funded by: UKRI

    Lead research organisation: University of the West of England

  • Transportation and the socio-spatial dimensions of travel to work flows

    Numerous research studies use commuting data, collected through the Census of Population, to understand social, economic and environmental challenges in the UK. This commuting data has been used to understand patterns; a...

    Funded by: ESRC

    Lead research organisation: University of Manchester