"Traditional construction is a low-tech but flexible manufacturing process. It is carried out 'on- site' using pre-manufactured components (windows, doors, bricks, blocks etc) and the manufacture of basic elements such as concrete, plaster etc. Whilst their flexibility has much to commend them (given the bespoke nature of buildings and their geographic distribution) traditional construction methods are inefficient in time and costs; construction has not benefitted from the significant efficiency improvements that have been seen in other manufacturing sectors over the last 20 years. The industry is seeking to address these inefficiencies via initiatives such as off-site manufacture and greater use of automation, and improved communication/component tracking through complex supply chains. However, work is needed to improve the efficiency of the necessarily site-based stages of the construction process. Skanska and Vinci have been working to digitise and integrate data from across their organisation and operations (e.g. business/process data, asset management, construction supply chain etc). However, on-site data across the whole of the construction sector remains predominantly paper-based, with only very basic data analysis carried out to support process planning and management. State-of-the-art data capture and analysis techniques have huge potential in improving on-site process planning and scheduling, for example, a system which uses real-time sensor and historical performance data to enable project planners to optimise bulk materials movements to and from site (e.g. correct numbers/timing of vehicles for the removal of excavation material, timely delivery of construction materials) could lead to efficiency savings of about 18%. Such planning could also be integrated with off-site traffic management solutions in order to minimise the impact of construction on the wider urban environment. However, challenges remain in effectively collating and integrating data from across large construction sites, with internal systems and relevant 3rd party data, developing predictive algorithms and providing outputs in a format that is beneficial to users. LAMP will address this issue. Led by CartoConsult, a UK SME with expertise in data capture and analysis in the context of construction and the built environment, it will develop a POC tool that enables project planners to better predict on-site materials and logistics parameters. It will utilise innovative enabling digital technologies (LoRa, data analytics) to capture, collate and analyse data from real construction programmes, with proactive involvement of project planners working on Vinci and Skanska-led construction programmes, enabling the solution to be tailored to meet the needs of users across the wider construction industry."

"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 programmes efficiently and effectively it is essential that investment decisions are thoroughly assessed and their impacts properly understood. Decisions need to be taken not only in the context of the specific development area but also that of the wider city, and over the long term. Decision makers need to take account of high-level factors such as changing demographics, political, economic and sustainability drivers, advances in technology etc. They need to understand and react to impacts on existing infrastructure and services, environment and economy as well as social impacts such as health and wellbeing of residents, workers and visitors. Currently 'city systems' are often siloed and, as a consequence, investment decisions can fail to recognise that the city is more than the sum of its parts, potentially leading to errors in infrastructure development that can take decades to correct. PROVIT will address this challenge by developing an investment simulation and optioneering platform that enables decision makers to create urban investment scenarios, interactively assess their impact on the operation of existing systems and established KPIs, and modify the scenarios in order to create an optimised solution. **PROVIT** works by standardising the contribution of elemental insights from different data and model sources subject to a spatial context. We look to rely on the augmented visualisation of rich data. Visualisation of data is selected for its ability to focus consensus between stakeholders and allow optioneering different scenarios each on their mobile devices to gather specific views from each in connection to different specific data insights. PROVIT will build on the recent Innovate UK-funded VISUALISE project which supports effective, efficient management of physical infrastructure assets by integrating, validating and analysing data from discrete asset systems, BIM approaches and emerging 3D mapping enabled by GIS. PROVIT is led by UK SME UNIT9, supported by complementary SME Cartoconsult and other organisations looking to develop innovative IT-based solutions supporting improved data management, decision-making and service delivery in the built environment. Skanska and Hampshire CC (as well as others in a stakeholder group) will participate as representative end users; the potential market is global and opportunities for overseas sales will be considered throughout. Research providers BRE and the University of Cambridge will provide access to an initial pool of predictive urban system models."

VISUALISE will develop a single environment integrated data visualisation and analytics capability to effectively analyse, develop and maintain smart, integrated urban infrastructure over the long term. Organisations such as Skanska are responsible for building & managing/maintaining multiple infrastructure assets for local authorities, transport infrastructure operators, utilities companies and facilities such as hospitals, schools. These physical assets are often widely geographically distributed and are managed within closed ‘systems’ based around asset type. Whilst data relating to individual asset types may be available they are not effectively utilised across multiple systems making it impossible to evaluate large scale data patterns. Efficiency improvements that could be achieved by managing multiple assets from a targeted, single maintenance resource capability are therefore not being realised. The VISUALISE solution will address these barriers, enabling data from different sources to be integrated, overlayed, analysed and visually assessed using 3D visualisation and augmented reality techniques. The project use case will be provided by major infrastructure assets in and around Cambridge.