Archived

What is the evidence of the emerging use and impact of novel/real time data sources to address transport issues at local or national levels, such as decarbonisation and levelling up?

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


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    Funded by: Innovate UK

    Lead research organisation: TRAVELAI LTD

    Why might this be relevant?

    The project proposes a state-of-the-art, automatic, digital, travel-demand-survey tool that can provide rich and accurate quantitative travel-behaviour data, which can address transport issues at local or national levels.

  • 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

    Why might this be relevant?

    The project aims to create an open and self-sustainable transport data marketplace, which can partially address transport issues at local or national levels by enabling multi-modal and multi-system transport integration across Local Authorities.

  • Simulating the Resilience of Transport Infrastructures Using QUANT

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    Funded by: STFC

    Lead research organisation: University College London

    Why might this be relevant?

    The project simulates the resilience of transport infrastructures using novel data sources and addresses the impact of new infrastructure projects like HS2, aligning with the question's focus on transport issues at local or national levels.

  • Multi-Horizon Digital Twin Models for Transportation

    "Digital Twins in transport can deliver optimised strategies for movement - reduced congestion, reduced emissions, safer operations and greater network capacity. With air quality estimated to kill 40,000 a year, new...

    Funded by: Innovate UK

    Lead research organisation: CITY SCIENCE CORPORATION LIMITED

    Why might this be relevant?

    The project focuses on using digital twin models for transportation to address issues such as decarbonisation and improving network capacity.

  • Visualisation of travel data for non-expert user to suport efficient infratructure planning

    This feasibility study will investigate the aggregation of multiple GPS data sources from consumer health and fitness mobile applications, so as to infer traffic flow information for Local Authorities (LAs). This will ...

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  • Integrated Spatio-Temporal Data Mining for Quantitative Assessment of Road Network Performance

    Recent traffic surveys and analysis of road network performance in London show a decline in traffic flows and perversely a decline in speeds and increase in congestion. It is believed that the increases in congestion ref...

    Funded by: EPSRC

    Lead research organisation: University College London

  • Covid-19 transport travel times

    TravelTime Technologies have already built and commercialised a technology platform, accessed by API, that enables clients in 40 countries to analyse their own data by travel time, not distance. As one example, the NHS u...

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    Lead research organisation: TRAVELTIME TECHNOLOGIES LTD

  • Advanced Motorsports Telemetry to improve Public Transport Networks

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  • Research Hub for Decarbonised Adaptable and Resilient Transport Infrastructures (DARe)

    Our Vision is for climate resilient, net zero development of the transport system to be guided by systems analysis. When this vision is realised, decision-makers will have access to (and visualisation of) data that tells...

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  • OD Visualiser - a tool to understand and analyse transport matrix data in low-income countries

    Origin-destination (OD) matrices are a common data format used in transport planning, for understanding 'flows' of passengers, freight, or vehicles and making decisions. However, expensive modelling software or considera...

    Funded by: Innovate UK

    Lead research organisation: INTEGRATED TRANSPORT PLANNING LIMITED