A systematic review of multi-scale digital modelling in sustainable urban design and management

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2025-02-01 Epub Date: 2024-12-25 DOI:10.1016/j.scs.2024.106103
Feng Guo , Ling Ma , Junhao Wu , Ke Chen , Weili Fang , Tim Broyd
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Abstract

Digital modelling has significantly advanced and is crucial in urban and building design. Numerous scholars have reviewed and summarized digital modelling research for buildings and cities. However, existing reviews lack a comparative analysis of the similarities and differences between urban and building modelling and a focus on practical applications across multiple scales. Multi-scale digital modelling (MSDM) refers to digital models encompassing varying geometric or semantic detail levels. This paper presents a quantitative analysis and systematic literature review (SLR) of MSDM for cities and buildings. The SLR identifies trending research themes as "Digital Building/Urban Design" and "Sustainable Building/Urban Management." Broader urban applications often require lower Levels of Detail (LoD1-2) for efficient analysis, whereas building management tasks demand higher LoD (LoD3-4). Urban resource management, with a particular emphasis on energy management, is a focal area where scholars investigate issues such as urban energy demand, consumption, and solar potential. The "reconstruction-amendment-calculation-update" process could support better integrating distributed energy systems, energy storage, and urban infrastructure. Furthermore, other urban resources, including water, land, infrastructure, and waste, can be sustainably managed by employing well-planned multi-level digital models. Effective urban and architectural design and strategic urban resource management will foster sustainable development for cities and society.

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可持续城市设计与管理中的多尺度数字建模系统综述
数字建模在城市和建筑设计中有着显著的进步和至关重要的作用。许多学者对建筑和城市的数字建模研究进行了回顾和总结。然而,现有的评论缺乏对城市和建筑模型之间的异同的比较分析,也缺乏对跨多个尺度的实际应用的关注。多尺度数字建模(MSDM)是指包含不同几何或语义细节层次的数字模型。本文对城市和建筑的MSDM进行了定量分析和系统文献综述。SLR确定了“数字建筑/城市设计”和“可持续建筑/城市管理”等趋势研究主题。更广泛的城市应用通常需要较低的细节水平(LoD1-2)进行有效的分析,而建筑管理任务需要更高的LoD (LoD3-4)。城市资源管理,特别强调能源管理,是学者们研究城市能源需求、消费和太阳能潜力等问题的焦点领域。“重建-修正-计算-更新”过程可以更好地支持分布式能源系统、能源存储和城市基础设施的整合。此外,其他城市资源,包括水、土地、基础设施和废物,可以通过采用精心规划的多层次数字模型进行可持续管理。有效的城市和建筑设计以及战略性的城市资源管理将促进城市和社会的可持续发展。
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来源期刊
Sustainable Cities and Society
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;
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