Abstract
Symbiotic Urban Agriculture Networks (SUANs) are a specific class of symbiotic networks that intend to close material and energy loops from cities and urban agriculture. Private and public stakeholders in SUANs face difficulties in the implementation of technological and organisational design interventions due to the complex nature of the agricultural and urban environment. Current research on the dynamics of symbiotic networks, especially Industrial Symbiosis (IS), is based on historical data from practice, and provides only partly for an understanding of symbiotic networks as a sociotechnical complex adaptive system. By adding theory and methodology from Design Science, participatory methods, and by using agent-based modelling as a tool, prescriptive knowledge is developed in the form of grounded and tested design rules for SUANs. In this paper, we propose a conceptual Design Science method with the aim to develop an empirically validated participatory agent-based modelling strategy that guides sociotechnical design interventions in SUANs. In addition, we present a research agenda for further strategy, design intervention, and model development through case studies regarding SUANs. The research agenda complements the existing analytical work by adding a necessary Design Science approach, which contributes to bridging the gap between IS dynamics theory and practical complex design issues.
| Original language | English |
|---|---|
| Article number | 826 |
| Journal | Sustainability |
| Volume | 9 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Design research
- Industrial symbiosis dynamics
- Network evolution
- Participatory agent-based modelling
- Symbiotic urban agriculture networks
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Simulating industrial symbiosis: Understanding and shaping circular business models for viable and robust industrial symbiosis networks through collaborative modelling and simulation
Lange, K. P. H., 2022, Delft University of Technology. 148 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile544 Downloads (Pure) -
Actor Behaviour and Robustness of Industrial Symbiosis Networks: An Agent-Based Modelling Approach
Lange, K. P. H., Korevaar, G., Nikolic, I. & Herder, P. M., 2021, In: Journal of Artificial Societies and Social Simulation. 24, 3, 8.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile19 Link opens in a new tab Citations (Scopus)102 Downloads (Pure) -
Agent-based Modelling and Simulation for Circular Business Model Experimentation
Lange, K. P. H., Korevaar, G., Oskam, I., Nikolic, I. & Herder, P. M., 2021, In: Resources, Conservation and Recycling Advances. 12, 200055.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile27 Link opens in a new tab Citations (Scopus)415 Downloads (Pure)
Datasets
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Circular Business Model experimentation: local biodigestion network
Lange, K. P. H. (Creator), CoMSES, 29 Jun 2021
DOI: 10.25937/3ewr-yt59
Dataset/Software: Software
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