Housing Passport knowledge graph: Promoting a circular economy in urban residential buildings

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2025-02-01 Epub Date: 2024-12-14 DOI:10.1016/j.scs.2024.106050

Naomi Keena , Avi Friedman , Mojtaba Parsaee , Madeline Mussio , Ava Klein , Martha Pomasonco-Alvis , Paulo Pinheiro

{"title":"Housing Passport knowledge graph: Promoting a circular economy in urban residential buildings","authors":"Naomi Keena , Avi Friedman , Mojtaba Parsaee , Madeline Mussio , Ava Klein , Martha Pomasonco-Alvis , Paulo Pinheiro","doi":"10.1016/j.scs.2024.106050","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces the Housing Passport knowledge graph (HPKG) as a novel digital standardization framework with a robust semantic data infrastructure to promote a circular economy in the home-building industry. Unstandardized and dispersed housing data impedes a comprehensive assessment of housing stock characteristics and life cycle impacts, hindering the implementation of circular economy principles. The HPKG addresses this challenge by providing (1) a standardized framework for integrated analysis of residential buildings’ affordability and circularity across various spatiotemporal scales and socioeconomic contexts, and (2) a scalable semantic infrastructure using web ontologies that enhances the sharability, searchability, readability, and interoperability of housing-related data. A case study involving five Canadian cities demonstrates the HPKG's effectiveness in semantically linking and standardizing approximately 62 million data points representing over 1.2 million residential buildings. The results show how the HPKG enables a multi-scale integrated assessment of Canadian housing stock, focusing on affordability, energy efficiency, and environmental footprints. As a key conclusion, the HPKG supports informed decisions regarding housing stock by enabling the exploration of circular economy scenarios that prioritize the reuse and recycling of residential building materials. The HPKG empowers stakeholders to develop residential typologies that promote affordability, circularity, and sustainability across diverse socioeconomic contexts.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"119 ","pages":"Article 106050"},"PeriodicalIF":12.0000,"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/S2210670724008722","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

This paper introduces the Housing Passport knowledge graph (HPKG) as a novel digital standardization framework with a robust semantic data infrastructure to promote a circular economy in the home-building industry. Unstandardized and dispersed housing data impedes a comprehensive assessment of housing stock characteristics and life cycle impacts, hindering the implementation of circular economy principles. The HPKG addresses this challenge by providing (1) a standardized framework for integrated analysis of residential buildings’ affordability and circularity across various spatiotemporal scales and socioeconomic contexts, and (2) a scalable semantic infrastructure using web ontologies that enhances the sharability, searchability, readability, and interoperability of housing-related data. A case study involving five Canadian cities demonstrates the HPKG's effectiveness in semantically linking and standardizing approximately 62 million data points representing over 1.2 million residential buildings. The results show how the HPKG enables a multi-scale integrated assessment of Canadian housing stock, focusing on affordability, energy efficiency, and environmental footprints. As a key conclusion, the HPKG supports informed decisions regarding housing stock by enabling the exploration of circular economy scenarios that prioritize the reuse and recycling of residential building materials. The HPKG empowers stakeholders to develop residential typologies that promote affordability, circularity, and sustainability across diverse socioeconomic contexts.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

住房通行证知识图谱：促进城市住宅循环经济

本文介绍了住房通行证知识图（HPKG）作为一种新的数字标准化框架，具有强大的语义数据基础设施，以促进住宅建筑行业的循环经济。不标准化和分散的住房数据妨碍了对住房存量特征和生命周期影响的全面评估，阻碍了循环经济原则的实施。HPKG通过提供(1)一个标准化框架来综合分析住宅建筑在不同时空尺度和社会经济背景下的可负担性和循环性，以及(2)一个可扩展的语义基础设施，使用网络本体来增强住房相关数据的可共享性、可搜索性、可读性和互操作性，从而解决了这一挑战。一个涉及五个加拿大城市的案例研究表明，HPKG在语义连接和标准化大约6200万个数据点方面的有效性，这些数据点代表了120多万住宅建筑。结果表明，HPKG能够对加拿大住房存量进行多尺度综合评估，重点关注可负担性、能源效率和环境足迹。作为一个关键结论，HPKG通过探索循环经济方案，优先考虑住宅建筑材料的再利用和再循环，从而支持有关住房存量的明智决策。HPKG授权利益相关者开发住宅类型，促进不同社会经济背景下的可负担性、循环性和可持续性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

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;