Future scenarios
Introduction
Connected Places Catapult convened experts who specialise in data, digital infrastructure, and public transport to draw upon research and insights into connected digital twins and evaluate how they might support the decarbonisation and improved connectivity of the UK transport system.
Connected digital twins are well placed to deliver significant economic impact and drive the UK as a science and technology superpower.
These scenarios provide the market with a common understanding of the value federated networks of transport digital twins will provide to the public transport system, if we take action to build it.
These four futures are built across two conditions:
Connected intelligence
The measure of how connected digital twins are able to bridge silos, build intelligent understanding, and drive efficiency.
Environmental and social impact
The measure of how connected digital twins are able to mitigate the effects of climate change and build resilience, connectivity, and inclusivity.
Each scenario begins with an introduction to the nature of the existing digital twin landscape before exploring how action or inaction leads to impacts across resilience, safety, efficiency, and passenger agency.
Key insights
Incentivise change to overcome entrenched working cultures.
The establishment of connected digital twins to improve the public transport system is less of an issue of technology, and more an issue of communication and management. Incentivising change by demonstrating the value of connected digital twins is required to enable a new paradigm to be adopted and embraced.
Keeping to full throttle is not driving efficiently.
Any efficient system is dependent, and indeed defined, by its ability to withstand strain. Truly efficient networks are resilient and able to overcome incidents and hazards. Finding the balance between utilising assets and maintaining reserves is key to enabling a truly efficient network.
Resilience involves robustness, agile recovery and evolution.
A resilient system involves three factors. Robustness or resistance to hazards, recovery or system bounce back, and evolution or progressive strengthening. Live awareness, rapid diagnosis, and predictive maintenance can all be enabled through connected digital twins to bake resilience into efficiency.
Translate data into action.
Intelligent understanding doesn't necessarily effect change. By leveraging data skills, it is important to translate data into insight, and insight into action. Utilising understanding is key to improving safety, resilience, efficiency, sustainability, and connectivity.
Transparency enables agency.
The efficiency and environmental impact public transport is significantly affected by the ways people travel. Sharing selected datasets through APIs and enabling MaaS technologies to provide passengers with the agency to make informed decisions on transport options is critical to reducing the carbon output of the network.
Integrate to unlock innovation.
The true power of connected digital twins is not just the intelligent understanding they build but also the opportunities for innovation they provide. Maximising the added value is dependent on enabling new technologies, new processes, and new organisations to enable the improved connectivity and decarbonisation of the public transport system.
Click on each scenario to view details.
1 Strategy and innovation
Key Contributors




Outcomes
- Strategic innovation plan to ensure a common path of travel for all stakeholders and delivery partners working within the connected digital twin environment
- Clear understanding in the transport sector of how connected digital twins can provide value with recognised and repeatable value propositions
| Outputs | Activities |
|---|---|
Research and innovation strategy defined for connected digital twins in transport 2023 - 2026 ![]() ![]() ![]() ![]() |
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Key milestones defined for achieving an ecosystem of digital twins in transport 2023 - 2032 ![]() ![]() ![]() |
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Identified infrastructure and services supporting requirements of connecting digital twins 2024 - 2026 ![]() ![]() |
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Relevant Publications
Digital Twins: Ethics and the Gemini Principles
Gemini Papers
Components for connected digital twins
The Future of the Automotive Industry through Digitalisation
Data for the public good
Leader for research in digital twinning for decarbonising transport – UKRI
Develop a UK digital twinning research community with a NetworkPlusOutcomes
- Understanding of the types of procurement frameworks that are applicable to connected digital twins
- Understanding of commercial models that are applicable to connected digital twins
- Better ways and approaches to create awareness of connected digital twins
- Value of connected transport digital twins demonstrated in multiple applications and modes
- Funding security in place to cover the long term maintenance strategy of the operationalised connected digital twin asset
| Outputs | Activities |
|---|---|
Accessible procurement frameworks for connected digital twins 2025 - 2028 ![]() ![]() |
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Appropriate routes for the investment and finance community to invest in connected digital twins and provide maintenance and management funding throughout the lifecycle of connected digital twins and their assets 2026 - 2028 ![]() ![]() |
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Commercial models in place to address funding needs for connected digital twins including maintenance 2024 - 2026 ![]() ![]() ![]() |
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Marketing strategy in place to communicate achievements in digital twins and attract stakeholders 2026 - 2028 ![]() ![]() |
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Outcomes
- Clarity on which connected digital twins use cases would provide most value for stakeholders, for example improved safety, increased efficiency, better maintenance
- Connected digital twins use case trials, testing and implementation
- Connected digital twins are being tested in real world situations, covering ethical, security, resilience, legal, regulatory, commercial and sustainability considerations
| Outputs | Activities |
|---|---|
Baseline for digitised assets to establish the direction for digital twins in the transport sector 2023 - 2025 ![]() ![]() |
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Use cases identified based on customer/industry/government needs and the value gained from combined data 2024 - 2026 ![]() ![]() ![]() ![]() |
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Business case for use cases that require government funding and for those that industry will invest in 2027 - 2028 ![]() ![]() ![]() |
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Operationalised connected digital twin use cases 2031 - 2035 ![]() ![]() ![]() ![]() |
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Relevant Publications
Gemini Papers
Gemini Principles
The Future of the Automotive Industry through Digitalisation
Digital Twin Toolkit
Areas of Research Interest 2021
Data for the public good
CPC Placed Based Digital Twins
Digital Railway Strategy
Digital Rail Programme
digital-twin-institute-position-paper
AMRC Digital Twin AWThe TRIB-commissioned Vision and Roadmap, produced by the Connected Places Catapult, consists of workstreams, components, outputs, outcomes and activities, which collectively guide us towards a future in which we achieve the shared vision in 2035.
At the top level, the roadmap shows different workstreams together with their corresponding components. A click on each component opens up the expected output and target delivery date. A further click on ‘Explore this workstream’ presents the output and associated activities, the key contributors and supporting organisations, outcomes, and a selection of relevant publications.
These activities are the building blocks which can be used to achieve the 2035 Vision and have been selected based on those which are likely to have the most impact. The Roadmap has been developed in collaboration with experts from academia, industry and government (further detail on the partners and stakeholder pages), but the list of activities is not exhaustive and prioritisation has been conducted by assessing the greatest potential impact of the activities.
| Workstream | Component | Target output end year | |||
|---|---|---|---|---|---|
| 2023-2025 | 2026-2030 | 2031-2035 | |||
1 Strategy and innovation | |||||
2 Enabling environment | |||||
People, skills and culture | |||||
4 Technology and data | |||||