Domestic transport is the UK's highest emission sector, and congestion in cities is costly (e.g. London £5.1bn in 2021). Drastically reducing urban car dominance is imperative to reach the UK's 2050 net-zero target, but also an unparalleled opportunity to create more equitable, inclusive and accessible cities of the future across the country. Recent UK investments of approximately £15bn seek to radically transform urban mobility and modality: £2bn for half of urban journeys to be cycled/walked by 2030 (e.g., cycle lanes, mini-Holland schemes), £5.7bn City Region Sustainable Transport Settlements (e.g., Manchester bus and cycle schemes), and £7bn to level up local bus services. To realise full investment potential, and develop holistic adoption pathways towards net-zero, inclusive mobility, multimodal transport must be effectively planned, managed and operated, with people and their differences as a core consideration. This is challenging for a complex system-of-systems. On the supply side, modes compete for limited road space on shared infrastructure, creating conflicts. On the demand side, modes complement each other in intermodal journeys, jointly influencing uptake. For example, cycle lanes promote cycling, but may impact road speeds and exacerbate congestion and pollution, highlighting the need to evaluate person-level mobility and system-level emissions. A recent survey reported two-thirds of disabled respondents finding cycling easier than walking, highlighting the need to consider the broad disability spectrum and the potential for cycle lanes to improve access for all. Therefore, holistically optimising cycle lane schemes, as with all multimodal schemes, requires integrated methodologies: fully capturing multimodal transport systems' distributed and interconnected processes, the complexities of modal competition and complementarity, and the heterogeneity of traffic and population. My research will overcome these research challenges and develop the first multiscale digital twin for the transport-people-emission nexus using a truly integrated approach to model and simulate multimodal urban transport, advancing and coalescing my adventurous research in multimodality, using traffic flow theory, agent-based modelling, and machine learning. This will enable the development of holistic adoption pathways towards net-zero, inclusive mobility through scenario testing and optimisation, with guidance and recommendations to support implementation. Leading a strong consortium of 3 cities and 12 partners, covering the entire multimodal transport value chain, I will collaboratively exploit the digital twin to realise UK strategic agendas: net-zero; Equity, Diversity and Inclusivity (EDI); and levelling-up. By holistically enhancing mobility for everyone, my Fellowship also will propel the Green Revolution for economic growth, leveraging the net-zero mission to unlock new business opportunities, and establish the UK as a global leader in digital technologies to tackle climate change. I will deliver a strong positive impact on making net-zero a net win for people, industry, the UK, and the planet, thereby enabling both me and the UK to become world leaders in multimodal urban transport, at the forefront of research and innovation.

There is an accepted need to promote step changes towards more sustainable urban environments, notably in transport and travel, which we will focus on. While many model-based desk-studies have aimed to simulate such environments as part of a decision support tool, they adopt many unvalidated, hypothetical assumptions, particularly in the way that major transport focused interventions might impact on both behaviour and the effectiveness of the infrastructure. There is very little real evidence of what works and what can be used to promote such changes, deriving from either the physical nature and make-up of urban environments and in the way that people choose to act and behave. This 5 year proposal will build on the momentum of major EPSRC- and ESRC-supported activity at the Institute for Transport Studies (ITS) at the University of Leeds and the Centre for Research on Socio-Cultural Change (CRESC) at the University of Manchester in order to fill this evidence gap, providing an empirically grounded frame for the modelling of transformational futures.The project seeks to produce a step change in current knowledge and practice using a mix of new data sources, methodological innovation in analysis of this diverse data, development of new planning practices and procedures and supporting modelling tools. To this end it will develop visions of urban futures of 2050 which are both resilient to external change and sustainable. The knowledge and procedures developed as part of this project will provide a foundation upon which planners and others involved in decision-making in relation to urban transport, at both local and national levels, can start to put in place the necessary changes to achieve the resilient and sustainable visions of 2050.The proposed research is ambitious and novel. We will undertake the first largely qualitative longitudinal panel study of households which focuses on their transport activity, in particular delving into questions of why they do certain things and how change might be brought about. This work will be complemented by study of historical information over longer periods of time, making use of available information from a variety of transport and non-transport databases, coupled with testimony from planners and others in two study areas who have experienced changes first hand. The task of bringing these diverse data sources together will be innovative and seek to effectively explore ways of integrating these materials in a number of different ways which recognise the complexity of decisions and practices around transport and allow us to draw some understanding of why step changes occur. We will use the results of these analyses to feed into more theoretical work which will consider firstly the potential for new planning procedures and practice and secondly new modelling tools which provide the means to help achieve the step changes necessary in transport for sustainable and resilient urban futures by 2050.

The latest report from the Intergovernmental Panel on Climate Change in 2018 highlighted the need for urgent, transformative change, on an unprecedented scale, if global warming is to be restricted to 1.5C. The challenge of reaching an 80% reduction in emissions by 2050 represents a huge technological, engineering, policy and societal challenge for the next 30 years. This is a huge challenge for the transport sector, which accounts for over a quarter of UK domestic greenhouse gas emissions and has a flat emissions profile over recent years. The DecarboN8 project will develop a new network of researchers, working closely with industry and government, capable of designing solutions which can be deployed rapidly and at scale. It will develop answers to questions such as: 1) How can different places be rapidly switched to electromobility for personal travel? How do decisions on the private fleet interact with the quite different decarbonisation strategies for heavy vehicles? This requires integrating understanding of the changing carbon impacts of these options with knowledge on how energy systems work and are regulated with the operational realities of transport systems and their regulatory environment; and 2) What is the right balance between infrastructure expansion, intelligent system management and demand management? Will the embodied carbon emissions of major new infrastructure offset gains from improved flows and could these be delivered in other ways through technology? If so, how quickly could this happen, what are the societal implications and how will this impact on the resilience of our systems? The answer to these questions is unlikely to the same everywhere in the UK but little attention is paid to where the answers might be different and why. Coupled with boundaries between local government areas, transport network providers (road and rail in particular) and service operators there is potential for a lack of joined up approaches and stranded investments in ineffective technologies. The DecarboN8 network is led by the eight most research intensive Universities across the North of England (Durham, Lancaster, Leeds, Liverpool, Manchester, Newcastle, Sheffield and York) who will work with local, regional and national stakeholders to create an integrated test and research environment across the North in which national and international researchers can study the decarbonisation challenge at these different scales. The DecarboN8 network is organised across four integrated research themes (carbon pathways, social acceptance and societal readiness, future transport fuels and fuelling, digitisation, demand and infrastructure). These themes form the structure for a series of twelve research workshops which will bring new research interests together to better understand the specific challenges of the transport sector and then to work together on integrating solutions. The approach will incorporate throughout an emphasis on working with real world problems in 'places' to develop knowledge which is situated in a range of contexts. £400k of research funding will be available for the development of new collaborations, particularly for early career researchers. We will distribute this in a fair, open and transparent manner to promote excellent research. The network will help develop a more integrated environment for the development, testing and rapid deployment of solutions through activities including identifying and classifying data sources, holding innovation translation events, policy discussion forums and major events to highlight the opportunities and innovations. The research will involve industry and government stakeholders and citizens throughout to ensure the research outcomes meet the ambitions of the network of accelerating the rapid decarbonisation of transport.

National infrastructure provides essential services to a modern economy: energy, transport, digital communications, water supply, flood protection, and waste water / solid waste collection, treatment and disposal. The OECD estimates that globally US$53 trillion of infrastructure investment will be needed by 2030. The UK's National Infrastructure Plan set out over £460 billion of investment in the next decade, but is not yet known what effect that investment will have on the quality and reliability of national infrastructure services, the size of the economy, the resilience of society or its impacts upon the environment. Such a gap in knowledge exists because of the sheer complexity of infrastructure networks and their interactions with people and the environment. That means that there is too much guesswork, and too many untested assumptions in the planning, appraisal and design of infrastructure, from European energy networks to local drainage systems. Our vision is for infrastructure decisions to be guided by systems analysis. When this vision is realised, decision makers will have access to, and visualisation of, information that tells them how all infrastructure systems are performing. They will have models that help to pinpoint vulnerabilities and quantify the risks of failure. They will be able to perform 'what-if' analysis of proposed investments and explore the effects of future uncertainties, such as population growth, new technologies and climate change. The UK Infrastructure Transitions Research Consortium (ITRC) is a consortium of seven UK universities, led by the University of Oxford, which has developed unique capability in infrastructure systems analysis, modelling and decision making. Thanks to an EPSRC Programme Grant (2011-2015) the ITRC has developed and demonstrated the world's first family of national infrastructure system models (NISMOD) for analysis and long-term planning of interdependent infrastructure systems. The research is already being used by utility companies, engineering consultants, the Institution of Civil Engineers and many parts of the UK government, to analyse risks and inform billions of pounds worth of better infrastructure decisions. Infrastructure UK is now using NISMOD to analyse the National Infrastructure Plan. The aim of MISTRAL is to develop and demonstrate a highly integrated analytics capability to inform strategic infrastructure decision making across scales, from local to global. MISTRAL will thereby radically extend infrastructure systems analysis capability: - Downscale: from ITRC's pioneering representation of national networks to the UK's 25.7 million households and 5.2 million businesses, representing the infrastructure services they demand and the multi-scale networks through which these services are delivered. - Upscale: from the national perspective to incorporate global interconnections via telecommunications, transport and energy networks. - Across-scale: to other national settings outside the UK, where infrastructure needs are greatest and where systems analysis represents a huge business opportunity for UK engineering firms. These research challenges urgently need to be tackled because infrastructure systems are interconnected across scales and prolific technological innovation is now occurring that will exploit, or may threaten, that interconnectedness. MISTRAL will push the frontiers of system research in order to quantify these opportunities and risks, providing the evidence needed to plan, invest in and design modern, sustainable and resilient infrastructure services. Five years ago, proposing theory, methodology and network models that stretched from the household to the globe, and from the UK to different national contexts would not have been credible. Now the opportunity for multi-scale modelling is coming into sight, and ITRC, perhaps uniquely, has the capacity and ambition to take on that challenge in the MISTRAL programme.

The University of Hertfordshire and the National Centre for Atmospheric Science currently operate an Air Quality forecasting system. Like a weather forecast, the system uses a computer model to make predictions of the concentrations of air pollutants such as Ozone, Particulate Matter and Nitrogen Oxides. The forecast runs for the whole of the UK and predicts three days into the future and it produces maps of each pollutant at a spatial resolution of 10km. Alongside the Air Quality Forecasting capability the University of Hertfordshire has also developed models and expertise in modelling air quality in urban areas. Air Quality can be highly influenced by the regional and national scale effects predicted by the Air Quality forecast but it is also influenced by very local effects such as emissions from traffic on a particular road, the local weather and even the local buildings and landscape. For this reason we have a separate system for urban areas which operates at a very high resolution. The urban system uses data that describes the pollution from individual roads for example. This urban model also has data to describe where people live and work so we can calculate pollutant concentrations in different parts of a city and at different times of day, then use that information to estimate the 'exposure' to pollution faced by the local population where they live and work. Because 'exposure' combines both pollutant levels and the time people spend in polluted areas, it is allows us to understand the likely health impact air pollution is having on the population. In this project we will forecast air quality and exposure for two urban areas, Greater Manchester and Bristol. The unique innovations in the project are to bring air quality and exposure forecasts down to the street and city scales, whilst making all the data available to the local authorities for the first time. To do this we will continue to operate the UK Air Quality Forecast and feed its predictions into the urban scale model. This will allow us to create pollution maps, a three day forecast and exposure estimates at a local scale for Bristol and Greater Manchester. The data will allow the local authorities to study air quality trends and statistics and find low pollution routes for cyclists and pedestrians. They will be able to use the data to make better planning decisions, improve education schemes and optimise pollution reduction measures to have the greatest impact. The delivery of exposure data alongside pollution concentrations is especially important for maximising the effectiveness of strategies to improve health. We will make all of the model data available to the local authorities by creating an online data dashboard. This will allow the local authorities access to all the model data via an easy to use graphical user interface. By creating the data dashboard we will remove a barrier currently preventing wider exploitation of air quality model data and unlock the potential benefits of modeled air quality data to local authorities and the general public. This project will directly address the needs of Local Authorities to meet their statutory responsibility to monitor and manage Air Quality. The responsibility for meeting EU air quality limit values is devolved to them. Our Local Authority partners, Bristol and Greater Manchester, attribute the premature death of approximately 200 and 1300 people annually to Air Quality respectively. This project will help the Bristol and Greater Manchester authorities by underpinning and informing their strategies for improving health and reducing air pollution with new, unique datasets. This data will allow the Local Authorities to optimally implement new and exiting initiatives such as promoting cycling, walking and public transport, managing goods vehicle, traffic management, low emission zones, planning guidance and education and informing the public of Air Quality health risks.