Places
Places
Places form part of the Physical Layer by representing the spatial environments within which infrastructure systems operate. These may include buildings, transport networks, urban areas or natural environments that provide the physical context for infrastructure assets, processes and services.
Digital twins are realistic digital representations of physical assets, processes or systems within the built or natural environment that support improved decision‑making by reflecting real‑world conditions in a digital environment. [1]
In this context, modelling physical places enables digital twins to represent the spatial conditions that influence how infrastructure systems function in practice.
Key concepts
Places contribute to the ability of digital twins to represent infrastructure systems as components of wider spatial environments whose characteristics influence system performance. Infrastructure systems typically operate within complex physical contexts such as cities, landscapes or industrial facilities, where spatial constraints or environmental conditions may affect how services are delivered.
Connected digital twins are intended to enable improved analysis of assets, processes and systems across organisational and sectoral boundaries by providing a shared understanding of how infrastructure systems interact within their physical environments.
Understanding how infrastructure systems are situated within physical places may therefore support decision‑making activities relating to planning, operational coordination or environmental management.
Mechanisms
Information relating to physical environments may be acquired through observation, spatial data or environmental monitoring systems and integrated within digital twin environments to support further analysis. Once incorporated into the system, place‑based inputs may be interpreted within the Analytics Layer to identify patterns in spatial usage or integrated within the Modelling and Simulation Layer to explore how infrastructure systems respond to changes in environmental or geographic conditions.
Digital twins may be used to simulate real‑world situations in order to explore how infrastructure systems interact with their surrounding environments and how those interactions may influence future outcomes.[2]
Insights derived from modelling physical places may also inform Service Layer activities such as environment management or resource management by enabling stakeholders to understand how infrastructure systems perform within different spatial contexts.
Infrastructure systems are shaped not only by the assets through which services are delivered, but also by the places in which those assets are situated. Incorporating spatial dynamics within digital twin environments enables infrastructure systems to be analysed in relation to broader environmental or societal outcomes.
Digital twins are frequently described as virtual representations of physical objects, systems or environments that may be used to simulate behaviour and support improved decision‑making across interconnected systems.
By representing how infrastructure systems operate within physical environments, digital twins can support coordinated planning and operational activities across organisational and sectoral boundaries.
Examples
Modelling physical places within digital twin environments may support planning activities by enabling stakeholders to assess how infrastructure systems interact with environmental constraints or spatial characteristics. Place‑based simulations may also inform resilience planning by allowing organisations to evaluate how infrastructure systems are likely to perform under varying geographic or climatic conditions.
Virtual Bradford - an Open 3D city model
Adrian Walker of City of Bradford Metropolitan District Council presents 'Virtual Bradford - an Open 3D city model'.
Case study - digital twin for education estates
Vicki Reynolds of ONE Creative environments presents 'Case study - digital twin for education estates'
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