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Agent†Based Modeling of Temporal and Spatial Dynamics in Life Cycle Sustainability Assessment

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  • Susie Ruqun Wu
  • Xiaomeng Li
  • Defne Apul
  • Victoria Breeze
  • Ying Tang
  • Yi Fan
  • Jiquan Chen

Abstract

Current aggregate and top†down approaches in life cycle sustainability assessment (LCSA) generally fail to account for spatial, temporal, and emergent behavioral dynamics simultaneously during the inventory stage. We discuss the key characteristics captured by complex system approaches (agent†based modeling [ABM] in particular) in the context of LCSA. It is understood that by integrating ABM, temporal, spatial, and behavioral dynamics can be addressed during the life cycle inventory stage. We propose a general concept to integrate ABM into current building life cycle assessment standards. We then use a hypothetical example of green building development to compare the ABM approach with a predefined static policy model. Simulation results from the agent†based model confirm that there are temporal and spatial variations caused by behavioral dynamics. The results are integrated into the calculation of temporally dynamic LCSA indicators on an annual basis. Spatially distributed simulation results can also be used in spatially dynamic LCSA.

Suggested Citation

  • Susie Ruqun Wu & Xiaomeng Li & Defne Apul & Victoria Breeze & Ying Tang & Yi Fan & Jiquan Chen, 2017. "Agent†Based Modeling of Temporal and Spatial Dynamics in Life Cycle Sustainability Assessment," Journal of Industrial Ecology, Yale University, vol. 21(6), pages 1507-1521, December.
    • Handle: RePEc:bla:inecol:v:21:y:2017:i:6:p:1507-1521
    DOI: 10.1111/jiec.12666
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    Citations

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    Cited by:

    1. Buchmayr, A. & Verhofstadt, E. & Van Ootegem, L. & Sanjuan Delmás, D. & Thomassen, G. & Dewulf, J., 2021. "The path to sustainable energy supply systems: Proposal of an integrative sustainability assessment framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    2. Christina Wulf & Jasmin Werker & Christopher Ball & Petra Zapp & Wilhelm Kuckshinrichs, 2019. "Review of Sustainability Assessment Approaches Based on Life Cycles," Sustainability, MDPI, vol. 11(20), pages 1-43, October.
    3. Raghu KC & Mika Aalto & Olli-Jussi Korpinen & Tapio Ranta & Svetlana Proskurina, 2020. "Lifecycle Assessment of Biomass Supply Chain with the Assistance of Agent-Based Modelling," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    4. Handi Chandra‐Putra & Clinton J. Andrews, 2020. "An integrated model of real estate market responses to coastal flooding," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 424-435, April.
    5. J. Raimbault & J. Broere & M. Somveille & J. M. Serna & E. Strombom & C. Moore & B. Zhu & L. Sugar, 2020. "A spatial agent based model for simulating and optimizing networked eco-industrial systems," Papers 2003.14133, arXiv.org.
    6. Raoul Voss & Roh Pin Lee & Magnus Fröhling, 2023. "A consequential approach to life cycle sustainability assessment with an agent‐based model to determine the potential contribution of chemical recycling to UN Sustainable Development Goals," Journal of Industrial Ecology, Yale University, vol. 27(3), pages 726-745, June.
    7. Elizabeth A. Moore & Callie W. Babbitt & Brian Tomaszewski & Anna Christina Tyler, 2020. "Spatial perspectives enhance modeling of nanomaterial risks," Journal of Industrial Ecology, Yale University, vol. 24(4), pages 855-870, August.
    8. Anna Petit-Boix & Defne Apul, 2018. "From Cascade to Bottom-Up Ecosystem Services Model: How Does Social Cohesion Emerge from Urban Agriculture?," Sustainability, MDPI, vol. 10(4), pages 1-13, March.

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