Study on city digital twin technologies for sustainable smart city design: A review and bibliometric analysis of geographic information system and building information modeling integration

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2022-09-01 DOI:10.1016/j.scs.2022.104009

Haishan Xia , Zishuo Liu , Maria Efremochkina , Xiaotong Liu , Chunxiang Lin

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引用次数: 55

Abstract

Geographic information system (GIS) data provide geospatial data on cities and spatial analysis functions that are essential for urban design. Building information modeling (BIM) includes a digital entity of construction, a passive presentation of micro-digital information on real entities, and an active application of models in the entire life cycle realization of the architecture, engineering, and construction industries. A combination of these technologies could provide a core technology for the urban digital twin to support sustainable smart city design. Through an insightful literature review, this paper summarizes the different disciplinary classifications of GIS and BIM functional integration, distills the value of data, and discusses the ontology-based data integration approach that GIS and BIM should take in the future to conduct research on integration applications in smart cities. To verify this view, keyword analysis, co-country analysis, and co-citation and coupling analyses are conducted using CiteSpace. GIS and BIM integration has attracted much attention. However, a professional disconnect and fragmented composition pose challenges in the field of GIS and BIM integration. Future research should focus on smart city planning, updating, management; ontology-based GIS and BIM data integration platform; and operation; and the collaborative management of urban rail transportation engineering.

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面向可持续智慧城市设计的城市数字孪生技术研究:地理信息系统与建筑信息建模集成综述与文献计量分析

地理信息系统(GIS)数据提供城市的地理空间数据和空间分析功能，对城市设计至关重要。建筑信息模型(BIM)包括建筑的数字实体，微数字信息在真实实体上的被动呈现，以及模型在建筑、工程和建筑行业全生命周期实现中的主动应用。这些技术的结合可以为城市数字孪生提供核心技术，以支持可持续的智慧城市设计。本文通过深入的文献综述，总结了GIS与BIM功能集成的不同学科分类，提炼了数据的价值，探讨了未来GIS与BIM在智慧城市集成应用研究中应采取的基于本体的数据集成方法。为了验证这一观点，我们在CiteSpace上进行了关键词分析、共同国家分析、共被引和耦合分析。GIS与BIM的融合备受关注。然而，专业的脱节和碎片化的组成构成了GIS和BIM集成领域的挑战。未来的研究重点应放在智慧城市的规划、更新、管理等方面;基于本体的GIS与BIM数据集成平台;和操作;以及城市轨道交通工程的协同管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;