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A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis
Univ Tokyo, Grad Sch Frontier Sci, Dept Human & Engn Environm, SCS Lab, Chiba 2778563, Japan..
East China Normal Univ, Fac Econ & Management, Shanghai 200062, Peoples R China..
Fudan Univ, Dept Phys, Shanghai 200433, Peoples R China..
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Applied Thermodynamics and Refrigeration.ORCID iD: 0000-0001-7354-6643
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2020 (English)In: Energies, E-ISSN 1996-1073, Vol. 13, no 19, article id 5050Article in journal (Refereed) Published
Abstract [en]

Low-carbon transitions are long-term complex processes that are driven by multiple factors. To provide a theoretical and practical framework of this process, we argue that the combination of the multi-level perspective (MLP) and agent-based modeling (ABM) enables us to reach a deeper and detailed analysis of low-carbon transitions. As an extensively applied theoretical form, MLP conceptualizes low-carbon transitions as a nonlinear process and allows a system to be analyzed and organized into multiple dimensions (landscape, regime, and niche). However, MLP cannot explain the many details of complex transitions, whereas ABM can estimate the influence of interacting behaviors in a complex system. Therefore, the main advantages of the combined approach for the analysis of low-carbon transition are verified: the MLP can contribute to the overall design of ABM, and ABM can provide a dynamic, continuous, and quantitative description of the MLP. To construct this combination framework, this paper offers a guiding principle that combines the two perspectives under a low-carbon transitional background to create an integrated strategy using three procedures: defining the common concepts, their interaction, and their combination. Through the proposed framework, the goal of this work was to reach a better understanding of social system evolution from the present high-carbon state to a low-carbon state under the pressure of ambitious climate goals, providing specific policy recommendations.

Place, publisher, year, edition, pages
MDPI , 2020. Vol. 13, no 19, article id 5050
Keywords [en]
low-carbon transition, agent-based modeling, multi-level perspective, complex system, sociotechnical approach, energy policy
National Category
Social Sciences Interdisciplinary
Identifiers
URN: urn:nbn:se:kth:diva-286646DOI: 10.3390/en13195050ISI: 000587179700001Scopus ID: 2-s2.0-85092526001OAI: oai:DiVA.org:kth-286646DiVA, id: diva2:1504294
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QC 20201127

Available from: 2020-11-27 Created: 2020-11-27 Last updated: 2023-08-28Bibliographically approved

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Madani Larijani, Hatef

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