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E-book Decide Better : Open and Interoperable Local Digital Twins

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Penilaian

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The concept of Local Digital Twins (LDTs) has gained significant attention in recent years as a means to enhance urban management and governance. Initially mentioned by the European Commission (EC) in 2021 during a workshop called “Local Digital Twins, Forging the Cities of Tomorrow” held at the annual European Week of Regions and Cities conference, the first description referred to a virtual representation of a city’s physical assets, using data, data analytics and machine learning to help feed simulation models that can be updated and changed in real-time as their physical equivalents change (European Commission, 2021). By creat-ing a common view of real-time situations, LDTs aim to facilitate evidence-informed decision-making at operational, strategic, and tactical levels, thereby better meeting city governance and communities’ needs. These effects, in turn, can lead to enhanced cost efficiencies, operational optimisation, better crisis management and more par-ticipatory governance. The evolution of the LDT concept and its essential capabilities have significant implications for urban governance and management. Whilst the European Commission’s initial description of an LDT focused on its role as a virtual represen-tation of physical assets within a city, Arcaute et al. (2021), from University College London (UCL), emphasised the importance of modelling the city’s physical struc-ture in an increasingly detailed and realistic manner. The researchers highlighted the real-time operation of cities and the use of data analytics and machine learning, not just for short-term decision-making but also for medium to long-term design and management. This shift ‘reduces the distance between (policy) design and implementation’ (Concilio, 2021), helping to create cities that can continuously and positively react and adapt to changing needs. This definition adds several elements to the original European Commission LDT description from 2021. Firstly, it moves away from defining LDTs as a strict imple-mentation of physical assets to encompass both process and people elements in a socio-technical solution. The geospatial element, which refers to geographically located communities, also widens the scope of the LDT to cover more than just cit-ies and urban areas (thus incorporating/superseding other market terms—urban digital twin and city digital twin). Another significant aspect is the emphasis on cross-sectoral data encompassing historical and real-time information. As the primary goal of LDTs has been defined as enhancing decision-making for societal benefit, a crucial question arises regard-ing whether the integration of local knowledge and insights, often referred to as urban intelligence (Mattern, 2017), will contribute to better evidence-informed decision-making. Recent European research and innovation initiatives (DUET,4URBANAGE,5 COMPAIR6) indicate that combining hard, measurable data with less measurable, more soft, qualitative, urban intelligence should deliver a more effective impact.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

004.65 BAL d

Penerbit

Switzerland : Springer Nature., 2025

Deskripsi Fisik

364 hlm

Bahasa

English

ISBN/ISSN

9783031814518

Klasifikasi

004.65

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

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Subjek

Computer Communications Networks

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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