Spatiotemporally Explicit Mapping of Built Environment Stocks Reveals Two Centuries of Urban Development in a Fairytale City, Odense, Denmark

Li, Qiaoxuan; Gummidi, Srinivasa Raghavendra Bhuvan; Lanau, Maud; Yu, Bingsong; Liu, Gang

doi:10.1021/acs.est.2c04781

Cited by 11 publications

(4 citation statements)

References 67 publications

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“…For instance, the model can help policymakers and planners assess the potential to reuse components in new construction, and to adapt construction practices to promote reuse. By linking the model with scenarios for construction and demolition [14], amounts of specific components available for reuse in any given year can be estimated. By connecting these amounts to geographical locations, the model can also support the planning of waste handling facilities (optimal location and capacity).…”

Section: Concluding Discussionmentioning

confidence: 99%

A Danish model of building macro-components to promote circularity

Francart,

Gummidi,

Hoxha

et al. 2023

J. Phys.: Conf. Ser.

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A better understanding of the material composition of the existing building stock is important for the development of circular economy strategies in the building sector. This paper presents a recently developed model to map the types and amounts of various materials in existing buildings in Denmark, with a high level of detail at the level of components rather than just material types. The model is meant to enable a detailed description of the building stock and a consideration of how components could be reused. Building properties are imported from the Danish national building registry (BBR) and processed into a relational database. Properties are combined with information on past construction techniques from architecture handbooks to estimate the most likely macro-components (types of wall, roof, etc) used in each building, and dimension these components. Material amount estimates from the model are compared with previous estimates as well as with material inventories from case study buildings. While the open-source model currently lacks accuracy, it is intended to be easily modifiable, and can support continuous improvements of the estimates based e.g. on new information from material passports, waste treatment facilities or remote sensing data. The paper discusses future opportunities to improve the model’s accuracy and use it to help develop circularity strategies and complement on-site inspections to overcome barriers to circularity.

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Section: Concluding Discussionmentioning

confidence: 99%

A Danish model of building macro-components to promote circularity

Francart,

Gummidi,

Hoxha

et al. 2023

J. Phys.: Conf. Ser.

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“…We used the web-crawling approach, developed in our previous study 69 , to access HSR geographical distributions (mainly from Baidu map, the largest online map portal in China). To validate the obtained HSR maps, we developed the rectification method by Li et al 70 , carefully checked the HSR station points along each HSR line for georeference, and rectified the distortions of retrieved HSR maps (see Supplementary Word Section 2).…”

Section: Methodsmentioning

confidence: 99%

Development patterns, material metabolism, and life-cycle greenhouse gas emissions of high-speed railway in China

Mao

Wu²,

Chen³

et al. 2023

Preprint

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China built the longest high-speed rail (HSR) network by consuming massive construction materials. However, the characterization of HSR material metabolism and associated emissions at national level remains less explored. Here, we revealed the material metabolism and life-cycle GHG emissions from 2008 to 2035 in China’s HSR network. We show that material stocks temporally amount from 0.6 gigatons in 2010 to 3.7 gigatons in 2020, dominated by aggregate and cement rather than steel. Spatially, material distributions across provinces are becoming balanced. Growing HSR speed increased the construction material demands and flows, but technological advances significantly offset these increasing consumptions, especially for developing bridge-girder spans and ballasted tracks. Our results demonstrate the life cycle emissions of HSR, with 1,008 megatons of carbon replacement value and annually 31 megatons of operational GHG emissions in 2020, and highlight the environmental benefits of HSR to inform green transportation transitions.

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“…These structures rely on the construction materials that form a major portion of the anthropogenic mass of approximately 1.1 teratonnes, which has exceeded the living biomass since 2020. , Knowledge, for example, type and quantity, of these materials is crucial to facilitating a circular economy, aiding in building decarbonization efforts by reducing demand for new materials through urban mining and facilitating related policy-making . Existing research largely studies the residential building stock from a geographical viewpoint, focusing on spatial analysis of material stock, , but often overlooks individual building analysis. This gap warrants further investigation for a more geographically specific nuanced understanding.…”

Section: Introductionmentioning

confidence: 99%

Component-Level Residential Building Material Stock Characterization Using Computer Vision Techniques

Dai,

Jurczyk,

Arbabi

et al. 2024

Environ. Sci. Technol.

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Residential building material stock constitutes a significant part of the built environment, providing crucial shelter and habitat services. The hypothesis concerning stock mass and composition has garnered considerable attention over the past decade. While previous research has mainly focused on the spatial analysis of building masses, it often neglected the component-level stock analysis or where heavy labor cost for onsite survey is required. This paper presents a novel approach for efficient component-level residential building stock accounting in the United Kingdom, utilizing drive-by street view images and building footprint data. We assessed four major construction materials: brick, stone, mortar, and glass. Compared to traditional approaches that utilize surveyed material intensity data, the developed method employs automatically extracted physical dimensions of building components incorporating predicted material types to calculate material mass. This not only improves efficiency but also enhances accuracy in managing the heterogeneity of building structures. The results revealed error rates of 5 and 22% for mortar and glass mass estimations and 8 and 7% for brick and stone mass estimations, with known wall types. These findings represent significant advancements in building material stock characterization and suggest that our approach has considerable potential for further research and practical applications. Especially, our method establishes a basis for evaluating the potential of component-level material reuse, serving the objectives of a circular economy.

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Spatiotemporally Explicit Mapping of Built Environment Stocks Reveals Two Centuries of Urban Development in a Fairytale City, Odense, Denmark

Cited by 11 publications

References 67 publications

A Danish model of building macro-components to promote circularity

A Danish model of building macro-components to promote circularity

Development patterns, material metabolism, and life-cycle greenhouse gas emissions of high-speed railway in China

Component-Level Residential Building Material Stock Characterization Using Computer Vision Techniques

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