Smart Twin Cities via Urban Operating System

Soe, Ralf-Martin

doi:10.1145/3047273.3047322

Cited by 15 publications

(9 citation statements)

References 15 publications

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“…However, this necessitates further research in areas for the interactions of data fusion for the physical and virtual interchange of data for a Digital Twin. The need for modelling in a smart city is emphasised by [22] and [97] with the call for more generic models that take into account all components of a smart city. Chen [22] presents a traffic management concept integrated without the need for further developments or more generic modelling, setting a standard for compatibility between smart buildings and smart traffic.…”

Section: Digital Twin In Smart Citiesmentioning

confidence: 99%

Digital Twin: Enabling Technologies, Challenges and Open Research

et al. 2020

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Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry. The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction. The challenges, applications, and enabling technologies for Artificial Intelligence, Internet of Things (IoT) and Digital Twins are presented. A review of publications relating to Digital Twins is performed, producing a categorical review of recent papers. The review has categorised them by research areas: manufacturing, healthcare and smart cities, discussing a range of papers that reflect these areas and the current state of research. The paper provides an assessment of the enabling technologies, challenges and open research for Digital Twins.

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Section: Digital Twin In Smart Citiesmentioning

confidence: 99%

Digital Twin: Enabling Technologies, Challenges and Open Research

et al. 2020

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“…The academic discussion about CDTs has also been vibrant recently, which can be attributed to the growing urbanization rates and the rise of the Internet of Things (IoT) and data analytics (Fuller et al, 2020), as well as the need for the introduction of digital services to the city management (Soe, 2017). The creation of CDTs is dependent on the availability of massive urban data generated every day via different sensors installed in the city and technical foundation, such as IoT and 5G (Deren et al, 2021).…”

Section: City Dtsmentioning

confidence: 99%

“…The design of CDTs provides a perfect ground for the design of data games, as the data used for the creation of the model of the city is the real-world data that was compiled into a model. Urban data games have been previously used for increasing the data literacy among urban populations (Wolff et al, 2015;2017), which can be relevant in the context of CDTs, where urban data games can be created in order to involve the citizens in the process of understanding the data layers the city consists of.…”

Section: A Task-based Approach To Urban Mobility Data Generationmentioning

confidence: 99%

Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility

Papyshev

Yarime

2021

Data & Policy

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This article discusses the technology of city digital twins (CDTs) and its potential applications in the policymaking context. The article analyzes the history of the development of the concept of digital twins and how it is now being adopted on a city-scale. One of the most advanced projects in the field—Virtual Singapore—is discussed in detail to determine the scope of its potential domains of application and highlight challenges associated with it. Concerns related to data privacy, availability, and its applicability for predictive simulations are analyzed, and potential usage of synthetic data is proposed as a way to address these challenges. The authors argue that despite the abundance of urban data, the historical data are not always applicable for predictions about the events for which there does not exist any data, as well as discuss the potential privacy challenges of the usage of micro-level individual mobility data in CDTs. A task-based approach to urban mobility data generation is proposed in the last section of the article. This approach suggests that city authorities can establish services responsible for asking people to conduct certain activities in an urban environment in order to create data for possible policy interventions for which there does not exist useful historical data. This approach can help in addressing the challenges associated with the availability of data without raising privacy concerns, as the data generated through this approach will not represent any real individual in society.

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“…Local services are often developed in isolation with minimal attempts to co-design the services jointly with other key stakeholders (other cities, different government levels, companies, citizens, etc.). Furthermore, digital urban services are often developed and analysed from the "closedborders" perspective, disregarding, for example, everyday commuters from other regions and the fact that, at least technologically, services and data can be scaled over institutional borders [2].…”

Section: Introductionmentioning

confidence: 99%

Urban Open Platform for Borderless Smart Cities

2022

Self Cite

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As a network of connected sensors to transform data into knowledge, Urban Platforms have been rooted in several smart city projects. However, this has often resulted in them being no more than IoT dashboards. More recently, there has been an increased interest in supporting the data governance and distributed architecture of Urban Platforms in order to adjust these with the administrative structure in a specific city. In addition, Urban Platforms also deal with data roaming between different stakeholders including other cities, different government levels, companies and citizens. Nevertheless, the first deployments have led to an inflexible “smart cities in a box” approach that does not help with building digital skills and causes vendor lock-in to products that do not scale. There is a need to start with simple and widespread urban services through a collaborative joint cross-border, hands-on effort. In order to meet the level of interoperability, international standards should be adopted. The aim of an Urban Open Platform (UOP), introduced in this paper, is to support not only data acquisition but also various types of data processing: data is aggregated, processed, manipulated and extended within the city context. Conceptually, special attention has been put on scalability, roaming and reliability in urban environments. This article introduces the UOP uniquely in the cross-border data exchange context of two European capital cities, Helsinki and Tallinn, and validates it with 10 real-life urban use cases.

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Smart Twin Cities via Urban Operating System

Cited by 15 publications

References 15 publications

Digital Twin: Enabling Technologies, Challenges and Open Research

Digital Twin: Enabling Technologies, Challenges and Open Research

Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility

Urban Open Platform for Borderless Smart Cities

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