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

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

Sustainable Cities and Society Pub Date : 2025-02-01 DOI:10.1016/j.scs.2024.106103

Feng Guo , Ling Ma , Junhao Wu , Ke Chen , Weili Fang , Tim Broyd

{"title":"A systematic review of multi-scale digital modelling in sustainable urban design and management","authors":"Feng Guo , Ling Ma , Junhao Wu , Ke Chen , Weili Fang , Tim Broyd","doi":"10.1016/j.scs.2024.106103","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106103"},"PeriodicalIF":10.5000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670724009259","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

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.

Abstract Image

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

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;