TY - JOUR
T1 - Towards a multiscale framework for modeling and improving the life cycle environmental performance of built stocks
AU - Stephan, André
AU - Crawford, Robert H.
AU - Bunster, Victor
AU - Warren-Myers, Georgia
AU - Moosavi, Sareh
N1 - Funding Information:
Faculty of Architecture, Building and Planning at the University of Melbourne, UN-Habitat and National Commission for Science and Technological Research (CONICYT) of Chile under the FONDECYT Postdoctoral Fellowship program (project number 3171502); Australian Research Council under the Discovery Projects funding scheme (DP150100962); CEDEUS under the CONICYT/FONDAP funding scheme (15110020); Belgian Fund for Scientific Research (F.R.S.-FNRS) Mandat d'Impulsion Scientifique grant (F.4547.21).This research was partially funded by an Industry Engagement Grant from the Faculty of Architecture, Building and Planning at the University of Melbourne, UN-Habitat and by the National Commission for Science and Technological Research (CONICYT) of Chile under the FONDECYT Postdoctoral Fellowship program (project number 3171502). The authors also acknowledge the support provided by the Australian Research Council under the Discovery Projects funding scheme (DP150100962), CEDEUS under the CONICYT/FONDAP funding scheme (15110020), and the Belgian Fund for Scientific Research (F.R.S.-FNRS) Mandat d'Impulsion Scientifique grant (F.4547.21).
Funding Information:
This research was partially funded by an Industry Engagement Grant from the Faculty of Architecture, Building and Planning at the University of Melbourne, UN‐Habitat and by the National Commission for Science and Technological Research (CONICYT) of Chile under the FONDECYT Postdoctoral Fellowship program (project number 3171502). The authors also acknowledge the support provided by the Australian Research Council under the Discovery Projects funding scheme (DP150100962), CEDEUS under the CONICYT/FONDAP funding scheme (15110020), and the Belgian Fund for Scientific Research (F.R.S.‐FNRS) grant (F.4547.21). Mandat d'Impulsion Scientifique
Funding Information:
Faculty of Architecture, Building and Planning at the University of Melbourne, UN‐Habitat and National Commission for Science and Technological Research (CONICYT) of Chile under the FONDECYT Postdoctoral Fellowship program (project number 3171502); Australian Research Council under the Discovery Projects funding scheme (DP150100962); CEDEUS under the CONICYT/FONDAP funding scheme (15110020); Belgian Fund for Scientific Research (F.R.S.‐FNRS) Mandat d'Impulsion Scientifique grant (F.4547.21).
Publisher Copyright:
© 2022 by the International Society for Industrial Ecology.
PY - 2022/8
Y1 - 2022/8
N2 - Cities are complex sociotechnical systems, of which buildings and infrastructure assets (built stocks) constitute a critical part. As the main global users of primary energy and emitters of associated greenhouse gases, there is a need for the introduction of measures capable of enhancing the environmental performance of built stocks in cities and mitigating negative externalities such as pollution and greenhouse gas emissions. To date, most environmental modeling and assessment approaches are often fragmented across disciplines and limited in scope, failing to provide a comprehensive evaluation. These approaches tend to focus either on one scale relevant to a discipline (e.g., buildings, roads, parks) or particular environmental flows (e.g., energy, greenhouse emissions). Here, we present a framework aimed at overcoming many of these limitations. By combining life cycle assessment and dynamic modeling using a nested systems theory, this framework provides a more holistic and integrated approach for modeling and improving the environmental performance of built stocks and their occupants, including material stocks and flows, embodied, operational, and mobility-related environmental flows, as well as cost, and carbon sequestration in materials and green infrastructure. This comprehensive approach enables a very detailed parametrization that supports testing different policy scenarios at a material, element, building, and neighborhood level, and across different environmental flows. We test parts of our modeling framework on a proof-of-concept case study neighborhood in Melbourne, Australia, demonstrating its breadth. The proposed modeling framework can enable an advanced assessment of built stocks that enhances our capacity to improve the life cycle environmental performance of cities.
AB - Cities are complex sociotechnical systems, of which buildings and infrastructure assets (built stocks) constitute a critical part. As the main global users of primary energy and emitters of associated greenhouse gases, there is a need for the introduction of measures capable of enhancing the environmental performance of built stocks in cities and mitigating negative externalities such as pollution and greenhouse gas emissions. To date, most environmental modeling and assessment approaches are often fragmented across disciplines and limited in scope, failing to provide a comprehensive evaluation. These approaches tend to focus either on one scale relevant to a discipline (e.g., buildings, roads, parks) or particular environmental flows (e.g., energy, greenhouse emissions). Here, we present a framework aimed at overcoming many of these limitations. By combining life cycle assessment and dynamic modeling using a nested systems theory, this framework provides a more holistic and integrated approach for modeling and improving the environmental performance of built stocks and their occupants, including material stocks and flows, embodied, operational, and mobility-related environmental flows, as well as cost, and carbon sequestration in materials and green infrastructure. This comprehensive approach enables a very detailed parametrization that supports testing different policy scenarios at a material, element, building, and neighborhood level, and across different environmental flows. We test parts of our modeling framework on a proof-of-concept case study neighborhood in Melbourne, Australia, demonstrating its breadth. The proposed modeling framework can enable an advanced assessment of built stocks that enhances our capacity to improve the life cycle environmental performance of cities.
KW - bottom-up
KW - buildings
KW - industrial ecology
KW - life cycle assessment
KW - material flow analysis
KW - urban metabolism
UR - http://www.scopus.com/inward/record.url?scp=85127378727&partnerID=8YFLogxK
U2 - 10.1111/jiec.13254
DO - 10.1111/jiec.13254
M3 - Article
AN - SCOPUS:85127378727
SN - 1088-1980
VL - 26
SP - 1195
EP - 1217
JO - Journal of Industrial Ecology
JF - Journal of Industrial Ecology
IS - 4
ER -