| Title | City-scale assessment of the material and environmental footprint of buildings using an advanced building information model: A case study from Canberra, Australia |
|---|---|
| ID_Doc | 22492 |
| Authors | Soonsawad, N; Marcos-Martinez, R; Schandl, H |
| Title | City-scale assessment of the material and environmental footprint of buildings using an advanced building information model: A case study from Canberra, Australia |
| Year | 2024 |
| Published | Journal Of Industrial Ecology, 28.0, 2 |
| Abstract | As cities grow, demand for urban materials is set to rise. Meeting sustainability targets will require transformative changes to how cities are constructed. Yet, accurate information on embodied building materials and their environmental impacts at the city scale is still lacking. We use Light Detection and Ranging data, building archetype information, and statistical models to estimate the embodied materials in buildings in Canberra, Australia, and their energy, carbon, and water footprint. In 2015, 57 million tonnes (Mt) of materials were embodied in 140,805 buildings. By weight, concrete was the most used material (44%), followed by sand and stone (32%), and ceramics (11%). Current population growth and building construction trends indicate a need for 2.4 times the building materials stock of 2015 by 2060. Producing such materials would require 1.6 thousand TJ of energy and 793 thousand megaliters of water and emit 48 Mt of CO2e-an environmental footprint 1.6 times the one in 2015. If the additional population were to live only in new single houses, material demand would be 4% higher than under current trends and the environmental footprint 5% higher. Housing new residents in low-rise apartments would reduce from current trends the material demand by 5% and the environmental footprint by 12%. Using only apartments of four or more stories would reduce material demand by 28% and the environmental footprint by 14%. This research can inform circular economy efforts to improve building materials management by helping estimate the implications of alternative configurations of the urban built environment. |
| https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jiec.13456 |
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