Computational Model Library

Exploring the aftermath of transition failures: An agent-based model (1.0.0)

This computational model is an agent-based model (ABM) developed to investigate how repeated failures of emerging niches accumulate and influence the trajectory of socio-technical transitions. Built in AnyLogic 8.7.11, the model simulates the dynamic interactions between a dominant regime and sequential niche entrants within a two-dimensional practice space. It models alignment, movement, and competition based on technological maturity and market penetration. The model utilizes a reinforcing feedback structure linking consumer support, output, resource accumulation, and capacity development (Physical and Institutional Capacity). A complete model specification following the ODD+D (Overview, Design concepts, Details, and Decision) protocol is included in the documentation.

Release Notes

Initial release of the agent-based model for the manuscript “Exploring the aftermath of transition failures: An agent-based model”. This release includes the core AnyLogic simulation file (.alp) and the accompanying ODD+D narrative documentation.

Associated Publications

Exploring the aftermath of transition failures: An agent-based model 1.0.0

Submitted by Gangmin Park Published Mar 06, 2026 Last modified Mar 06, 2026
socio-technical system transition failure niche-regime interaction agent-based model agent-based model (abm) agent-based modeling AnyLogic MATISSE

This computational model is an agent-based model (ABM) developed to investigate how repeated failures of emerging niches accumulate and influence the trajectory of socio-technical transitions. Built in AnyLogic 8.7.11, the model simulates the dynamic interactions between a dominant regime and sequential niche entrants within a two-dimensional practice space. It models alignment, movement, and competition based on technological maturity and market penetration. The model utilizes a reinforcing feedback structure linking consumer support, output, resource accumulation, and capacity development (Physical and Institutional Capacity). A complete model specification following the ODD+D (Overview, Design concepts, Details, and Decision) protocol is included in the documentation.

Release Notes

Initial release of the agent-based model for the manuscript “Exploring the aftermath of transition failures: An agent-based model”. This release includes the core AnyLogic simulation file (.alp) and the accompanying ODD+D narrative documentation.

Cite this Model

Junmin Lee, Gangmin Park, Jisoo Lee, Keungoui Kim (2026, March 06). “Exploring the aftermath of transition failures: An agent-based model” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/b4132874-8a10-46d9-95f4-5643ea47f370/releases/1.0.0/

Replication of a previously described model

This model is grounded in and adapted from the MATISSE framework (Köhler et al., 2009; Moallemi & Köhler, 2019).

References

Köhler, J., Whitmarsh, L., Nykvist, B., Schilperoord, M., Bergman, N., & Haxeltine, A. (2009). A transitions model for sustainable mobility. Ecological Economics, 68(12), 2985-2995.
Moallemi, E. A., & Köhler, J. (2019). Coping with uncertainties of sustainability transitions using exploratory modelling: The case of the MATISSE model and the UK’s mobility sector. Environmental Innovation and Societal Transitions, 33, 61-83.
Lee, J., Park, G., & Kim, K. (2022). Transition failure strengthening regime stability in socio-technical systems: A case study of shared mobility market in South Korea. Telematics and Informatics, 70, 101814.

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Contributors
Gangmin Park Junmin Lee Jisoo Lee Keungoui Kim
DOI
No assigned DOI
Model Version
1.0.0
License
MIT
Programming Language
Java
Software Framework
AnyLogic
Operating System
Operating System Independent
Publish Date
Friday, March 06, 2026
Last Updated
Friday, March 06, 2026
Downloads 1
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.0.0 Gangmin Park Fri Mar 6 08:56:52 2026 Fri Mar 6 08:56:54 2026 Published

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