Urban Digital Twins (UDT)

Urban Digital Twins (UDT).

Singapore · Barcelona, Spain · Munich, Germany and 6 more · 2014 · A technology category driven by leading public initiatives such as Virtual Singapore and the vCity platform (Barcelona).

UDTs let cities simulate decisions before executing them, reducing economic and physical risk and improving evidence-based, cross-departmental decision-making. Documented uses include better planning of transport, energy and water infrastructure; simulating disasters (e.g. flooding, heat islands, fine-dust dispersion) before they occur; optimising mobility and emissions policies; and supporting urban-resilience strategies. Co-benefits span air quality and public health, flood/disaster-risk reduction, traffic and congestion relief, urban energy efficiency, and greater governance transparency. Replicability is medium-to-high but conditional: it requires advanced digital infrastructure, supercomputing capacity and a mature urban data ecosystem, making it easier to adopt in large or technologically advanced cities.

Highlight

3D virtual replicas of cities that integrate real-time and historical data to simulate the impact of urban policies, infrastructure and climate events before deploying them physically.

Extended description

• Urban Digital Twins are advanced computational systems that create a dynamic digital representation of a city, fed by data from sensors, satellites, IoT and urban models. These platforms make it possible to simulate complex scenarios such as changes in mobility, water management, energy planning or the impacts of extreme climate events.
• Unlike traditional planning models, UDTs allow "what-if" tests in virtual environments, reducing risks and costs before applying decisions in the real world. They are used to improve urban resilience, optimise public services and support data-driven decision-making — effectively turning the city into a safe virtual laboratory.
• Because they integrate massive, heterogeneous data streams (IoT, satellite, sensors) and can visualise the results in interactive 3D, UDTs also improve coordination between municipal departments and support more transparent, participatory governance. Their main trade-offs are a heavy dependence on large-scale (often private) data, high computing and maintenance costs, integration complexity with existing municipal systems, potential privacy concerns around real-time urban data, and the risk of a digital divide between cities that can and cannot afford the technology.

Demonstrated metrics

• Reduction in urban travel time .
• Energy savings in infrastructure planning.
• CO₂-emission reductions through mobility optimisation.
• Improved emergency-response times.
• Reduced cost of urban projects (by avoiding physical errors). ⚠

Real impact

UDTs let cities simulate decisions before executing them, reducing economic and physical risk and improving evidence-based, cross-departmental decision-making. Documented uses include better planning of transport, energy and water infrastructure; simulating disasters (e.g. flooding, heat islands, fine-dust dispersion) before they occur; optimising mobility and emissions policies; and supporting urban-resilience strategies. Co-benefits span air quality and public health, flood/disaster-risk reduction, traffic and congestion relief, urban energy efficiency, and greater governance transparency. Replicability is medium-to-high but conditional: it requires advanced digital infrastructure, supercomputing capacity and a mature urban data ecosystem, making it easier to adopt in large or technologically advanced cities.

Implementation location & date

Singapore (Virtual Singapore, since 2014 — global reference); Barcelona (BSC + vCity, active projects since 2021–22); Munich, Hamburg and Leipzig (Connected Urban Twins, 2021–2025); Seoul (S-Map, since 2021). Additional pilots reported in Rotterdam, Vienna and Zurich, plus sectoral water-twin projects in Europe.

Sources

• Verified sources:
• vCity (Barcelona / BSC): https://www.vcity.tech/ · https://www.bsc.es/
• Virtual Singapore (OECD OPSI): https://oecd-opsi.org/innovations/virtual-twin-singapore/ · GovTech: https://www.tech.gov.sg/technews/5-things-to-know-about-virtual-singapore/
• Connected Urban Twins (Hamburg/Leipzig/Munich): https://www.connectedurbantwins.de/en/
• Seoul S-Map: https://english.seoul.go.kr/seouls-digital-twin-s-map-to-become-virtual-laboratory/
• Digital Water Twins (WEF): https://www.weforum.org/stories/2024/11/why-digital-twins-might-transform-the-world-of-water-management/
• Interactive 3D demo: https://vcity.dataviz.bsc.es/