What does recent data tell us about possible long-term demand for private cars, electric vehicles, carpooling or public transport as a substitute and how might this impact decarbonisation?
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:
Topics
Research fields
- commerce, management, tourism and services
- transportation, logistics and supply chains
- economics
- applied economics
- environmental sciences
- climate change impacts and adaptation
- environmental management
- information and computing sciences
- data management and data science
- mathematical sciences
- statistics
Related UKRI funded projects
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