Digital Twins, Smart Cities, and Urban Modeling Image

Digital Twins, Smart Cities, and Urban Modeling

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Digital twin technology is spreading from its industrial origins to the smart city environment where it allows a more holistic approach in terms of cross-vertical optimization of the design, management, and operation of urban infrastructure. Benefits include operational cost savings, energy efficiencies, increased resilience, improved sustainability, and a positive impact on economic growth. Digital twin solutions include spatial modeling of the built environment, mathematical models of electric and mechanical systems, and real-time sensor data (crowd)sourced from IoT platforms. Typical use cases include flood risk modeling, multi-building energy management, renewable energy optimization, traffic flow optimization, occupancy tracking and evacuation simulations, and the generative design of city extensions.

This report covers all aspects of digital twins of cities and urban modeling more generally in terms of technologies, use cases, benefits, technology vendor profiles and case studies, adoption challenges, and deployment forecasts.

Table of Contents

  • 1. RELEVANCE OF DIGITAL TWINS FOR SMART CITIES
    • 1.1. Changing Smart Cities Landscape and Relevance of Modeling
    • 1.2. Designing and Managing Urban Industrial Systems
    • 1.3. Definitions and Types of Models
    • 1.4. Modeling Technologies and Techniques
    • 1.5. Urban Modeling Use Cases
    • 1.6. Benefits of Digital Twins for Cities
    • 1.7. Challenges
  • 2. PLAYERS AND SOLUTIONS
    • 2.1. Microsoft: Azure Digital Twins
    • 2.2. Dassault Systemes
    • 2.3. IES
    • 2.4. ESRI
    • 2.5. Autodesk
    • 2.6. Bentley Systems
    • 2.7. Siemens
    • 2.8. Ansys
    • 2.9. Locis
    • 2.10. Open Geospatial Consortium (OGC)
    • 2.11. PTC
    • 2.12. PTV
    • 2.13. NTT (Nippon Telegraph and Telephone Corporation)
    • 2.14. CityzenitH
  • 3. CASE STUDIES
    • 3.1. Nanyang Technological University
    • 3.2. Virtual Singapore 3D Model
    • 3.3. Rotterdam
    • 3.4. Cambridge
    • 3.5. Boston
    • 3.6. Jaipur
    • 3.7. Amaravati
    • 3.8. Newcastle
    • 3.9. Stockholm
    • 3.10. Helsinki
  • 4. FORECASTS