Smart infrastructure for people and planet

It’s 2040 and infrastructure in many places across the world has advanced with the integration of digital technology that helps it run better for both people and the planet.

In transportation, health, utilities, and elsewhere, a wealth of real-time data is constantly analyzed and used to gain intelligent insights that improve these systems and the services they provide. 

Purposeful investment of many trillions of dollars in the last two decades has reengineered infrastructure systems to be more sustainable, more resilient, and to provide a more reliable, consistently high-quality service.

Stakeholders — including investors, operators, consumers, regulators, and communities — have instant access to information about the performance of infrastructure and the level of service it’s delivering. As a result, they can make better-informed decisions, small and large. Infrastructure owners have strengthened their partnerships with key stakeholders, creating closely aligned enterprises that work together to create a high-performing system.

Data analysis by humans and machines means that underperforming or vulnerable elements of our infrastructure are quickly identified and improved. When people use infrastructure they are empowered by the information provided, and come to expect a seamless, personalized experience, with their data readily available and yet secure.

People enjoy accessible, inclusive, and sustainable transportation, and benefit from resilient and affordable energy, water, and health services.

Digital information is also being used to ensure infrastructure works in harmony with the natural environment. Energy use and carbon emissions from infrastructure are minimized — making a substantial contribution to the push for net-zero — and pollution and unsustainable resource use have been much reduced as part of a dynamic, circular economy.

This is how.

Sustainability drove infrastructure strategy

In the face of growing climate threats and mounting public concern about climate change, infrastructure leaders across the world recognized their responsibility to pursue a range of sustainable outcomes, as spelled out in the UN’s Sustainable Development Goals. They saw that to retain the confidence of their customers and of political leaders, infrastructure systems had to be sustainable, meeting the needs of the present without compromising future generations. The triple bottom line — people, planet, and prosperity — became central to their decision-making, assisted by government policy that encouraged, incentivized, or required private sector companies to uphold these principles. Transparency about environmental performance and societal outcomes became the norm in corporate reporting, with investors and regulators insisting on higher standards. Executives were rewarded and held to account according to these objectives, not just on financial metrics.

Read more: Moata People and Planet

Digital the key enabler

Digital proved the key enabler

Infrastructure leaders saw that a key enabler for achieving the outcomes that were required — including decarbonizing their operations, becoming more resilient, and providing social value — was to deploy integrated digital technology to gather intelligence from their assets and to use this across their business. They knew that most of the physical infrastructure that would serve people for the coming decades was already in place, and they began to focus on how they could understand and improve the way it operated as a system. Fitting and integrating digital systems, together with mapping out key processes and representing them digitally, gave leaders a fantastic set of tools for understanding and managing their physical infrastructure systems and making better decisions. Users of infrastructure soon felt the benefits: for example in quicker journey times, shorter waits for health services, and reduced energy bills.

Silos broke down

Infrastructure organizations could deploy digital technologies to improve their operations, their asset management, and their engineering. But the biggest leap forward came when these three activities were joined up rather than left to work in silos. Central to this joined-up approach were digital twins, containing up-to-date asset condition and performance information that could be easily accessed, analyzed, and visualized. This helped organizations improve operations, make maintenance smarter, and extend asset life, and work out where new assets or projects would add value across the system. Organizations used internationally agreed-upon standards for creating their digital twins, making it easier to exchange information and forge productive links between infrastructure systems. This aided system resilience, so that when bad weather or adverse events hit, customers found that transportation and utility services were less affected and could bounce back quicker.

Open and ethical data

As infrastructure owners became more adept at using data for insights and improvements, they came to appreciate the huge value of opening their data to researchers, suppliers, and others to drive innovation. Blockchain technology, open standards, and effective governance frameworks contributed to better data protection that addressed privacy and security concerns. Organizations soon made anonymized data publicly available as a matter of course. This encouraged potential partners to step forward with artificial intelligence tools and other innovative ways of leveraging the information. Where innovations were proven to add value, the standardized, platform-based nature of digital twins meant that organizations could quickly incorporate them into their digital infrastructure as business-as-usual. User-friendly apps and displays were created that empowered the customer: for example, allowing them to make informed choices about which train or hospital or use, or the cheapest time to charge their electric car.

Cities showed systems leadership

After experiencing multiple extreme weather events, city authorities across the world realized that to safeguard the future of their communities, they needed to play a role in integrating local systems and infrastructure to make them smart, sustainable, and resilient. They forged new partnerships with infrastructure owners and operators, facilitated the exchange of information through data platforms, and stimulated innovations and joint projects that would encourage better performance across city-wide systems. They developed new skillsets, and negotiated new powers where necessary, to enable them to play this role. This place-based systems approach allowed some leading cities to make the successful transition to low-carbon transportation and energy, creating a pleasant, less polluted environment for their citizens and setting an example for others to follow.

Capabilities were transformed

Through a combination of systems thinking and digital insights, infrastructure leaders could not only understand existing operations, but could envisage how their digital and organizational systems might ideally be set up. Mapping the two against each other allowed them to start to build the capabilities they needed for a transformation towards the target model. A combination of process, organization, technology, and information changes were required, and new job roles, skills, and ways of working were needed to support each of these. Infrastructure organizations knew it would take several years to make this transition, but each year along the journey they gained more organizational capabilities to complement their growing digital capacity.

Enterprises formed

Once infrastructure organizations were focused on system-wide outcomes, it no longer made sense for the supply chain to be engaged on a transactional basis with no stake in longer-term objectives. Infrastructure owners agreed on lengthy or ongoing partnerships with key suppliers, with contracts and incentives that were designed to bring suppliers fully on board with the expected economic, social, and environmental and economic outcomes. It soon became normal for design engineers to work alongside asset managers and technology specialists in enterprises that oversaw the whole-life performance of physical and digital assets and were responsible for ensuring that both performed optimally.

Collaborative delivery

The enterprise approach led to more collaborative forms of delivery, with organizations and their suppliers working in a common data environment to digitally engineer solutions optimized for a wider variety of criteria. All the participants benefited from this collaboration through enhanced skills, experience, and understanding that added to their collective ability to deliver. New projects to enhance the system frequently consisted of working with existing assets rather than constructing new ones. But whatever the nature of the physical infrastructure being delivered, organizations made sure to design and deliver digital and management systems alongside it that could seamlessly slot into existing infrastructure. Artificial intelligence helped optimize designs to achieve the best balance of outcomes for people and planet.

Skills and roles developed

As digital technologies became more and more integrated in infrastructure, a similar linkage grew up between digital and traditional infrastructure skills. Digital know-how became a routine part of the curriculum for young people in education and training. Those with digital abilities came to see working in infrastructure as an opportunity, while those already in the sector saw how essential it was to acquire digital skills. New roles — especially relating to systems integration, data analysis, and stewardship — sprung up throughout the industry. A new, diverse cohort of leaders made it to boardroom level, who were equally capable talking the language of digital and that of business performance, organizational transformation, and sustainable success.

Systems are optimized

Systems were optimized

The results of digital integration were soon felt in the performance of systems and assets, across the whole lifecycle. Carbon was designed out at every stage: embodied carbon in construction, energy use, and running costs were all much reduced, while smarter maintenance and adaptability meant that assets lasted longer. The digital and system infrastructure behind the physical assets helped build resilience against climate and other shocks. Customer-facing systems for payment and access were streamlined so that a flow of information allowed for fine-tuning of services and performance. Electrification and the rise of sustainable transport and energy resulted in better air quality and pleasant conditions for living in cities.

Multilateral investment

Once some cities in both wealthier countries and developing nations demonstrated the benefits of smart and connected infrastructure, others sought to follow. Governments and private sector investors recognized the value and potential returns from smart, sustainable technologies. Richer countries made funding available to development banks and other multilateral institutions that supported smart infrastructure investments in pursuit of the sustainable development goals.

Watch: What does it mean for development to be climate-smart?

Smart infrastructure for people and planet

This is the future