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 f...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 data-bases,covering five areas:data types and sources,case studies,applied technologies and methods,maturity spectrum,and appli-cations.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 com-puters.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.展开更多
城市信息模型(city information model,CIM)作为数字城市发挥智慧作用的重要信息载体,近些年愈发受到政府和行业关注。从城市全局数据角度梳理城市职能机构各部门数据并进行集成整合,促进多源、多行业、多类型数据的共建共享和互联互通...城市信息模型(city information model,CIM)作为数字城市发挥智慧作用的重要信息载体,近些年愈发受到政府和行业关注。从城市全局数据角度梳理城市职能机构各部门数据并进行集成整合,促进多源、多行业、多类型数据的共建共享和互联互通,力求用数据刻画城市特性,以发现数据潜在价值和实现城市智慧目标。剖析CIM的概念内涵和研究方向,依托已有数据基础,耦合各行业知识图谱,在相关标准规范的保证下提出城市数据分类体系、数据资源目录和CIM元数据模型,从层次特征和结构特征对城市数据资源进行全方位梳理,保障各类数据资源在统一体系中得以集成和规范,为数据信息的深层次融合和数据价值的最大化挖掘提供可实施基础。最后对CIM数据分类体系的功能用途和未来探索方向分别进行总结和展望。展开更多
文摘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 data-bases,covering five areas:data types and sources,case studies,applied technologies and methods,maturity spectrum,and appli-cations.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 com-puters.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.
文摘城市信息模型(city information model,CIM)作为数字城市发挥智慧作用的重要信息载体,近些年愈发受到政府和行业关注。从城市全局数据角度梳理城市职能机构各部门数据并进行集成整合,促进多源、多行业、多类型数据的共建共享和互联互通,力求用数据刻画城市特性,以发现数据潜在价值和实现城市智慧目标。剖析CIM的概念内涵和研究方向,依托已有数据基础,耦合各行业知识图谱,在相关标准规范的保证下提出城市数据分类体系、数据资源目录和CIM元数据模型,从层次特征和结构特征对城市数据资源进行全方位梳理,保障各类数据资源在统一体系中得以集成和规范,为数据信息的深层次融合和数据价值的最大化挖掘提供可实施基础。最后对CIM数据分类体系的功能用途和未来探索方向分别进行总结和展望。
