城市数字孪生:它们的成熟度和与三维城市模型的区别

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Big Earth Data Pub Date : 2023-01-02 DOI:10.1080/20964471.2022.2160156
Homa Masoumi, S. Shirowzhan, Paria Eskandarpour, C. Pettit
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引用次数: 2

摘要

近年来,随着数字基础设施和与物联网(IoT)相关的技术的发展,城市数字孪生(City Digital Twins)这一新兴领域得到了发展。然而,这一领域的发展如此之快,以至于在对相关文献的系统回顾和城市规模的城市数字孪生的成熟方面出现了空白。我们的工作通过突出该领域的成熟度来弥合这一差距。我们对Web of Science和Scopus数据库中发表的41篇论文进行了系统的文献综述和内容分析,涵盖了数据类型和来源、案例研究、应用技术和方法、成熟度谱和应用五个方面。根据成熟度指标,大多数审查的研究(90%)处于成熟度的初始到中期阶段(直到元素3),其中大多数集中在3D建模,监测和可视化。然而,数字双胞胎不能局限于3D模型、监控和可视化,因为它们可以发展到包括人与计算机之间的双向交互。如此高的成熟度,在所审查的研究中没有发现,需要先进的技术和方法,如云计算、人工智能、BIM和GIS。我们还发现,如果该领域要处理多学科数字孪生的复杂城市挑战,进一步的研究是必不可少的。虽然城市数字双胞胎的定义超越了单纯的3D城市建模,但一些涉及3D城市模型的研究仍然将其研究对象称为城市数字双胞胎。在我们发现的研究差距中,我们想强调对近实时数据分析算法的需求,这可以为城市数字双胞胎提供大数据见解。其他机会包括公众参与能力,以增加社会协作,集成BIM和GIS技术,改善存储和计算基础设施。
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City Digital Twins: their maturity level and differentiation from 3D city models
ABSTRACT The emerging field of City Digital Twins has advanced in recent years with the help of digital infrastructure and technologies connected to the Internet of Things (IoT). However, the evolution of this field has been so fast that a gap has opened in relation to systematic reviews of the relevant literature and the maturation of City Digital Twins on an urban scale. Our work bridges this gap by highlighting maturity in the field. We conducted a systematic literature review with bibliometric and content analysis of 41 selected papers published in Web of Science and Scopus databases, covering five areas: data types and sources, case studies, applied technologies and methods, maturity spectrum, and applications. Based on maturity indicators, the majority of the reviewed studies (90%) were at initial to medium stages of maturity (up to element 3), most of them focused on 3D modelling, monitoring and visualisation. However, digital twins cannot be limited to 3D models, monitoring and visualisation, for they can be developed to include two-directional interactions between humans and computers. Such a high level of maturity, which was not found in the reviewed studies, requires advanced technologies and methods such as cloud computing, artificial intelligence, BIM and GIS. We also found that further studies are essential if the field is to handle the complex urban challenges of multidisciplinary digital twins . While City Digital Twins extend by definition beyond mere 3D city modelling, some studies involving 3D city models still refer to their subjects as City Digital Twins. Among the research gaps we identified, we’d like to highlight the need for near-real-time data analytics algorithms, which could furnish City Digital Twins with big data insights. Other opportunities include public participation capabilities to increase social collaboration, integrating BIM and GIS technologies and improving storage and computation infrastructure.
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
期刊最新文献
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