IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v103y2010i3p117-126.html
   My bibliography  Save this article

Using a role-playing game to inform the development of land-use models for the study of a complex socio-ecological system

Author

Listed:
  • Washington-Ottombre, C.
  • Pijanowski, B.
  • Campbell, D.
  • Olson, J.
  • Maitima, J.
  • Musili, A.
  • Kibaki, T.
  • Kaburu, H.
  • Hayombe, P.
  • Owango, E.
  • Irigia, B.
  • Gichere, S.
  • Mwangi, A.

Abstract

We present an integrated methodology composed of a role-playing game on land adjudication from which we extract narrative and spatially explicit drivers of land-use decisions. We show how geographic information systems (GIS), qualitative decision-matrix analyses, a simple rule-based model using multi-criteria evaluations (MCE), and a machine learning-based land-transformation model (LTM) can be used harmoniously to study complex socio-ecological systems. We evaluate how each technique performs in the study of complex socio-ecological systems using a multi-tier framework detailing how each method analyzes the resource system, resource units, governance system, users and interactions and outcomes in the system. We show that each approach enhances our understanding of the land-use decision making process. Each method provides various information on the drivers of land-use decision, some focusing more on spatial components of socio-ecological systems (resource system and resource unit) and other having a strong emphasis on social mechanisms (governance system, users, interactions and outcomes). Furthermore, we shed light into the existence of a flow of information between the various methods enhancing our understanding of land-use drivers. We end with a discussion on methodological tradeoffs between models and the value of our more holistic approach to modeling land-use drivers and decisions.

Suggested Citation

  • Washington-Ottombre, C. & Pijanowski, B. & Campbell, D. & Olson, J. & Maitima, J. & Musili, A. & Kibaki, T. & Kaburu, H. & Hayombe, P. & Owango, E. & Irigia, B. & Gichere, S. & Mwangi, A., 2010. "Using a role-playing game to inform the development of land-use models for the study of a complex socio-ecological system," Agricultural Systems, Elsevier, vol. 103(3), pages 117-126, March.
  • Handle: RePEc:eee:agisys:v:103:y:2010:i:3:p:117-126
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(09)00107-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michel Etienne, 2003. "SYLVOPAST: a Multiple Target Role-Playing Game to Assess Negotiation Processes in Sylvopastoral Management Planning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-5.
    2. William's Daré & Olivier Barreteau, 2003. "A Role-Playing Game in Irrigated System Negotiation: Between Play and Reality," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(3), pages 1-6.
    3. Olivier Barreteau & Christophe Le Page & Patrick D'aquino, 2003. "Role-Playing Games, Models and Negotiation Processes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-10.
    4. Olivier Barreteau, 2003. "The Joint Use of Role-Playing Games and Models Regarding Negotiation Processes: Characterization of Associations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-3.
    5. Paul Guyot & Shinichi Honiden, 2006. "Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-8.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maeda, Eduardo Eiji & Clark, Barnaby J.F. & Pellikka, Petri & Siljander, Mika, 2010. "Modelling agricultural expansion in Kenya's Eastern Arc Mountains biodiversity hotspot," Agricultural Systems, Elsevier, vol. 103(9), pages 609-620, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diana Adamatti & Jaime Simão Sichman & Helder Coelho, 2009. "An Analysis of the Insertion of Virtual Players in GMABS Methodology Using the Vip-JogoMan Prototype," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(3), pages 1-7.
    2. Christophe Le Page & Nicolas Becu & Pierre Bommel & François Bousquet, 2012. "Participatory Agent-Based Simulation for Renewable Resource Management: The Role of the Cormas Simulation Platform to Nurture a Community of Practice," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-10.
    3. Barnaud, Cécile & Bousquet, François & Trebuil, Guy, 2008. "Multi-agent simulations to explore rules for rural credit in a highland farming community of Northern Thailand," Ecological Economics, Elsevier, vol. 66(4), pages 615-627, July.
    4. Dolinska, Aleksandra, 2017. "Bringing farmers into the game. Strengthening farmers' role in the innovation process through a simulation game, a case from Tunisia," Agricultural Systems, Elsevier, vol. 157(C), pages 129-139.
    5. Hertzog, Thomas & Poussin, Jean-Christophe & Tangara, Bréhima & Kouriba, Indé & Jamin, Jean-Yves, 2014. "A role playing game to address future water management issues in a large irrigated system: Experience from Mali," Agricultural Water Management, Elsevier, vol. 137(C), pages 1-14.
    6. Alexandra S Penn & Christopher J K Knight & David J B Lloyd & Daniele Avitabile & Kasper Kok & Frank Schiller & Amy Woodward & Angela Druckman & Lauren Basson, 2013. "Participatory Development and Analysis of a Fuzzy Cognitive Map of the Establishment of a Bio-Based Economy in the Humber Region," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-14, November.
    7. Happe, Kathrin & Balmann, Alfons, 2008. "Doing Policy In The Lab! Options For The Future Use Of Model-Based Policy Analysis For Complex Decision-Making," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6588, European Association of Agricultural Economists.
    8. Amadou, Mahamadou L. & Villamor, Grace B. & Kyei-Baffour, Nicholas, 2018. "Simulating agricultural land-use adaptation decisions to climate change: An empirical agent-based modelling in northern Ghana," Agricultural Systems, Elsevier, vol. 166(C), pages 196-209.
    9. Juliette Rouchier, 2013. "The Interest of Having Loyal Buyers in a Perishable Market," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 151-170, February.
    10. Scrieciu, S. Şerban & Barker, Terry & Ackerman, Frank, 2013. "Pushing the boundaries of climate economics: critical issues to consider in climate policy analysis," Ecological Economics, Elsevier, vol. 85(C), pages 155-165.
    11. Aravindakshan, Sreejith & Krupnik, Timothy J. & Amjath-Babu, T.S. & Speelman, Stijn & Tur-Cardona, Juan & Tittonell, Pablo & Groot, Jeroen C.J., 2021. "Quantifying farmers' preferences for cropping systems intensification: A choice experiment approach applied in coastal Bangladesh's risk prone farming systems," Agricultural Systems, Elsevier, vol. 189(C).
    12. Busch, Jonathan & Roelich, Katy & Bale, Catherine S.E. & Knoeri, Christof, 2017. "Scaling up local energy infrastructure; An agent-based model of the emergence of district heating networks," Energy Policy, Elsevier, vol. 100(C), pages 170-180.
    13. Meine van Noordwijk & Erika Speelman & Gert Jan Hofstede & Ai Farida & Ali Yansyah Abdurrahim & Andrew Miccolis & Arief Lukman Hakim & Charles Nduhiu Wamucii & Elisabeth Lagneaux & Federico Andreotti , 2020. "Sustainable Agroforestry Landscape Management: Changing the Game," Land, MDPI, Open Access Journal, vol. 9(8), pages 1-38, July.
    14. Appel, Franziska & Balmann, Alfons & Dong, Changxing & Rommel, Jens, 2018. "FarmAgriPoliS: An agricultural business management game for behavioral experiments, teaching, and gaming," IAMO Discussion Papers 173, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    15. Falk, Thomas & Kumar, Shalander & Srigiri, Srinivasa, 2019. "Experimental games for developing institutional capacity to manage common water infrastructure in India," Agricultural Water Management, Elsevier, vol. 221(C), pages 260-269.
    16. García-Barrios, L.E. & Speelman, E.N. & Pimm, M.S., 2008. "An educational simulation tool for negotiating sustainable natural resource management strategies among stakeholders with conflicting interests," Ecological Modelling, Elsevier, vol. 210(1), pages 115-126.
    17. Olivier GODARD, 2004. "Autour Des Conflits A Dimension Environnement Ale. Evaluation Economique Et Coordination Dans Un Monde Complexe," Cahiers d’économie politique / Papers in Political Economy, L'Harmattan, issue 47, pages 127-153.
    18. O. Barreteau & G. Abrami, 2007. "Variable time scales, agent-based models, and role-playing games: The PIEPLUE river basin management game," Post-Print hal-00453892, HAL.
    19. repec:zbw:iamodp:271455 is not listed on IDEAS
    20. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
    21. González-Méndez, Mauricio & Olaya, Camilo & Fasolino, Isidoro & Grimaldi, Michele & Obregón, Nelson, 2021. "Agent-Based Modeling for Urban Development Planning based on Human Needs. Conceptual Basis and Model Formulation," Land Use Policy, Elsevier, vol. 101(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:103:y:2010:i:3:p:117-126. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/agsy .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.