Engineering Smarter Cities with Smart City Digital Twins

Taylor, John E.; Bennett, Gisele

doi:10.1061/(asce)me.1943-5479.0000974

Cited by 13 publications

(8 citation statements)

References 13 publications

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“…In general, the research results show that information technology represented by digital twins can effectively play a role in empowering urban governance capabilities [12][13][14], but there is still a lack of specific case discussions on how digital twins and other information technologies can substantially improve urban ecological governance capabilities. Existing research mainly focuses on the theoretical analysis of the macro role of information technology in urban governance, and lacks a practical description of how digital twins can strengthen urban smart governance capabilities.…”

Section: Introductionmentioning

confidence: 95%

Smart Governance of Urban Ecological Environment Driven by Digital Twin Technology: A Case Study on the Ecological Restoration and Management in S island of Chongqing

Yue

Mao

Zhao

2022

IOP Conf. Ser.: Earth Environ. Sci.

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China is undergoing rapid urbanization, which has caused undesirable urban sprawl and ecological deterioration. Combining information technology for ecological environment governance is an effective measure to improve governance efficiency. In this paper, based on the analysis of the ecological restoration and governance case of S Island in Chongqing, an ecological intelligent governance system architecture based on the integration of multiple information technologies such as digital twin is extracted. The research shows that the S Island is based on the technical concept of the digital twin, and integrates a variety of information technology integration, collects and processes a large amount of data generated in the whole process of S Island repair and operation, and builds it based on the digital twin concept and accurately maps the physical space. This system model can be stored and processed based on the integrated data, realize knowledge graph visualization, algorithm optimization, and iterative integration for different objects and application scenarios, and finally serve different functional modules in ecological governance, which can be used to support Smart governance of cities.

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Section: Introductionmentioning

confidence: 95%

Smart Governance of Urban Ecological Environment Driven by Digital Twin Technology: A Case Study on the Ecological Restoration and Management in S island of Chongqing

Yue

Mao

Zhao

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…In theory, what differentiates the digital twin concept from other digital forms is that the flow of information is bidirectional, effectively connecting physical systems to the digital version—or the in silico representation, while the digital version seamlessly provides input to alter the behavior or performance of these physical systems (Kritzinger et al., 2018). The development and use of digital twins in cities and urban planning have been growing alongside innovations in computing and visualization, including three‐dimensional city models, virtual reality, augmented reality, mixed reality, and building information models (Taylor et al., 2021). Digital twins aim to provide digital representations of the built environment at the building, street, household, or person scale, overlaid with static or real‐time information to support decision‐making in a variety of areas such as planning (Schrotter & Hürzeler, 2020), transport (Chen et al., 2018), governance (Deng et al., 2021), and energy (Francisco et al., 2019).…”

Section: Digital Twinsmentioning

confidence: 99%

Three research priorities for just and sustainable urban systems: Now is the time to refocus

Bozeman

Chopra

James³

et al. 2023

J of Industrial Ecology

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Now is the time to refocus efforts in urban research and design. A changing climate and extreme weather events are presenting unique challenges to urban systems around the world. These challenges illuminate the social barriers that accompany disruptive events such as resource inequities and injustices. In this perspective, we provide three research priorities for just and sustainable urban systems that help to address these matters. The three research priorities are: (1) social equity and justice, (2) circularity, and (3) digital twins. Conceptual context and future research directions are provided for each. For social equity and justice, the future directions are mandatory equity analysis and inclusionary practices, understanding and reconciling historical injustices, and intentional integration with diverse community stakeholders. For circularity applications, they are better metrics for integration, more robust evaluation frameworks, and dynamic modeling at multiple spatial and temporal scales. Future directions for digital twins include developing principles to reduce complexity, integrating model and system components, and reducing barriers to data access. These research priorities are core to meeting several of the United Nations Sustainable Development Goals (i.e., 1—No Poverty, 8—Decent Work and Economic Growth, 10—Reduced Inequalities, and 11—Sustainable Cities and Communities). Useful social and technical matters are discussed throughout, where we highlight the importance of prioritizing localized research efforts, provide guidance for community‐engaged research and co‐development practices, and explain how these priorities interact to align with the evolving field of industrial ecology.

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“…The big data technology is often involved in digital twin for accurate calculation, as it can effectively mine the hidden and effective data, which greatly improves the intelligence of digital twin [45] and the applicability. Digital twin as a new technology has been applied in various fields, such as aerospace [46][47][48][49][50], industry manufacturing [51][52][53], 3D printing [54,55], medical services [56][57][58][59], bio-manufacturing [60], agricultural machine [61], robots [62][63][64], power industry [65,66], smart city [67], pressure vessel [68], machining [69][70][71][72], automatic transportation [73], roads infrastructure [74], construction system [75], as listed in Table 1.…”

Section: Digital Twin: Definitionmentioning

confidence: 99%

Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

Zhu

et al. 2022

Chin. J. Mech. Eng.

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Traditional design, manufacturing and maintenance are run and managed independently under their own rules and regulations in an increasingly time-and-cost ineffective manner. A unified platform for efficient and intelligent design-manufacturing-maintenance of mechanical equipment and systems is highly needed in this rapidly digitized world. In this work, the definition of digital twin and its research progress and associated challenges in the design, manufacturing and maintenance of engineering components and equipment were thoroughly reviewed. It is indicated that digital twin concept and associated technology provide a feasible solution for the integration of design-manufacturing-maintenance as it has behaved in the entire lifecycle of products. For this aim, a framework for information-physical combination, in which a more accurate design, a defect-free manufacturing, a more intelligent maintenance, and a more advanced sensing technology, is prospected.

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Engineering Smarter Cities with Smart City Digital Twins

Cited by 13 publications

References 13 publications

Smart Governance of Urban Ecological Environment Driven by Digital Twin Technology: A Case Study on the Ecological Restoration and Management in S island of Chongqing

Smart Governance of Urban Ecological Environment Driven by Digital Twin Technology: A Case Study on the Ecological Restoration and Management in S island of Chongqing

Three research priorities for just and sustainable urban systems: Now is the time to refocus

Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

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