From urban modelling to city digital twins – Reflections from the applied urban modelling (AUM) symposia

City digital twins (CDTs), as digital replica of urban systems and development processes, have been heralded as the next-generation technology for urban planning and management. Arguably, the concept of CDTs is not new. Prior to CDTs, applied urban modelling has been playing a pivot role in supporting city and infrastructure planning since the 1960s. Examining CDTs in relation to conventional urban models can thus offer valuable insights into their nature, potential, and challenges. Such a comparative, reflective exercise, however, remains rare. This commentary aims to share insights and reflections from a dedicated applied urban modelling (AUM) community. It is argued that to substantiate the power of CDTs, a theory-driven modelling strategy is essential for both practical policy analysis and knowledge discovery. Modellers must think beyond the technical perspective and exploring novel use of CDTs beyond optimisation. A blind pursuit for data without building on and expanding existing domain knowledge remains an existential risk for CDTs.

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Publication Details

Journal
Environment and Planning B Urban Analytics and City Science
Published
2024-08-30
DOI
https://doi.org/10.1177/23998083241279601
Citations
6
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
1.92
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article

From urban modelling to city digital twins – Reflections from the applied urban modelling (AUM) symposia

Michael Batty, Ying Jin, Michael Wegener, Li Wan et al.
6 citations
Environment and Planning B Urban Analytics and City Science
Smart Cities and Technologies
1.92
article

From urban modelling to city digital twins – Reflections from the applied urban modelling (AUM) symposia

Michael Batty, Ying Jin, Michael Wegener, Li Wan, Marcial Echeñique
article en
6 citations

Abstract

City digital twins (CDTs), as digital replica of urban systems and development processes, have been heralded as the next-generation technology for urban planning and management. Arguably, the concept of CDTs is not new. Prior to CDTs, applied urban modelling has been playing a pivot role in supporting city and infrastructure planning since the 1960s. Examining CDTs in relation to conventional urban models can thus offer valuable insights into their nature, potential, and challenges. Such a comparative, reflective exercise, however, remains rare. This commentary aims to share insights and reflections from a dedicated applied urban modelling (AUM) community. It is argued that to substantiate the power of CDTs, a theory-driven modelling strategy is essential for both practical policy analysis and knowledge discovery. Modellers must think beyond the technical perspective and exploring novel use of CDTs beyond optimisation. A blind pursuit for data without building on and expanding existing domain knowledge remains an existential risk for CDTs.

Environment and Planning B Urban Analytics and City Science
University of Cambridge (GB), University College London (GB)
Sustainable cities and communities
Openalex Percentile: Top 12%
Smart Cities and Technologies
1.92
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