Digital twins in city planning
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View abstract on PubMed
Summary
This summary is machine-generated.Digital twins of cities offer diverse simulation types for understanding, predicting, and designing urban environments. This perspective explores various models and computational challenges in geospatial urban applications.
Area Of Science
- Urban Science
- Geospatial Analysis
- Computational Modeling
Background
- Digital twins are increasingly used for urban analysis.
- Existing digital twin applications vary in complexity and scope.
- Understanding urban dynamics requires diverse simulation approaches.
Purpose Of The Study
- To provide a perspective on the diverse types of digital twins for cities.
- To highlight the interaction between researchers, policymakers, and planners with urban digital twins.
- To discuss spatial models and computational challenges in urban digital twin applications.
Main Methods
- Review of different digital twin types, from aggregate to agent-based simulations.
- Analysis of spatial models applied to urban systems at various scales.
- Identification of computational challenges in geospatial urban applications.
Main Results
- Digital twins of cities encompass a spectrum of simulation types.
- Effective interaction with digital twins is crucial for urban understanding, prediction, and design.
- Spatial models range from local to large-scale systems, posing significant computational demands.
Conclusions
- Digital twins are versatile tools for urban science.
- Addressing computational challenges is key to advancing urban digital twin applications.
- A comprehensive approach to digital twins facilitates better urban planning and design.
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