Spatialized material stock analysis to facilitate circularity of the built environment
• 大类 : 环境科学与生态学 - 1区
• 小类 : 工程：环境 - 2区
• 小类 : 环境科学 - 1区
The development and maintenance of our built environment contribute substantially to global greenhouse gas (GHG) emissions, with approximately 40% attributed to these activities (Hossain & Ng, 2019). With issues of energy efficiency of buildings being increasingly addressed, the focus is turning to embodied (or grey) emissions, arising from the extraction, transportation, and manufacturing of raw materials. Construction activities – including use, refurbishment, and demolition – contribute to approximately 40% of the global resource extraction and 25% of global waste generation (Hossain & Ng, 2019). As the climate crisis unfolds, urgent measures are necessary to minimize these impacts, with the circular economy (CE) emerging as a pertinent paradigm for achieving sustainable resource use in the built environment.
CE strategies for the built environment include prioritizing continued use of existing buildings through refurbishment and transformation, reuse of building components and materials, recycling, and designing for adaptability and/or disassembly. However, although CE can significantly reduce global GHG emissions and resource use linked to construction materials, our built environment construction industry remains entrenched in the linear economy. Barriers to the widespread implementation of CE include resistance to change, lack of awareness and education, and/or regulatory hurdles, compounded by insufficient understanding of the dynamics of built environment stocks and limited quantitative information on their material make-up. Owing to the intrinsic characteristics of the built environment, such as its long lifespans and intricate material compositions, key information on change drivers and mechanisms, material types, quantities, location, material availability, and potentials for circularity are often limited. These knowledge gaps hinder stakeholders’ ability to identify, assess, and implement circular strategies at a broad scale.
Recognizing these challenges, researchers have turned to spatialized material stock analysis (MSA) as a crucial tool for quantifying and localizing the types of construction materials stocked in buildings and infrastructures over time. Almost 15 years ago, Tanikawa and Hashimoto (2009) conducted their seminal spatial MSA of two neighborhoods in the UK and Japan, where they quantified and localized the types of construction materials stocked in buildings and infrastructures over time. Spatial MSA has now evolved into a standalone research topic, with studies conducted at various spatial scales, resolutions, and time periods. Most notably, the integration of MSA with spatial tools (e.g., GIS and remote sensing) has facilitated the mapping of secondary resources stocked in a case study area, thus allowing the spatial analysis of material stocks and the dynamics behind their accumulation and management (Soonsawad et al. 2022).
The field of spatialized MSA is rapidly evolving, marked by diversification in data sources and modeling methods spurred by advancements in digital technologies (e.g., machine learning, remote sensing, satellite imagery, and more) (Liang et al. 2023). As spatial MSA methods diversify, integration with various disciplinary fields, such as spatial analysis, life cycle assessment, economics, and logistics is also underway. However, the relevance of spatial MSA results to different stakeholders has only been sporadically showcased. Overall, MSA researchers need to ensure spatially refined results in their modelling, but also further engage with other disciplinary fields and relevant stakeholders if MSA is to support the implementation of CE (Wuyts et al. 2022).
As such, this SI invites researchers to contribute their original research, case studies, and review articles on the latest advancements and best practices in spatialized MSA of the built environment to support circularity. The goal is to promote knowledge exchange, collaboration, and support the transition to a circular economy and sustainable built environment.
The scope of this special issue includes (but is not limited to) the following topics.
Assessing and transitioning to a CE using MSA
Investigating the role of spatial factors in the CE
Methodological developments in MSA (e.g., data, tools)
Use of AI and digital technologies in MSA
Integration of MSA with other disciplinary fields
Practice-relevance of MSA
Resource cadasters in practice/collaboration with stakeholders
Review articles on e.g., spatial MSA, MSA for CE
Maud Lanau1,*, firstname.lastname@example.org
Danielle Densley Tingley2, email@example.com
Satu Huuhka3, firstname.lastname@example.org
Ruichang Mao4, email@example.com
Georg Schiller5, firstname.lastname@example.org