IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v36y2009i4p644-663.html
   My bibliography  Save this article

Simulating Knowledge Sharing in Spatial Planning: An Agent-Based Approach

Author

Listed:
  • Arend Ligtenberg

    (Centre for Geo-Information, Wageningen University, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands)

  • Adrie Beulens
  • Dik Kettenis
  • Arnold K Bregt
  • Monica Wachowicz

Abstract

This paper presents a multiagent system (MAS) that simulates a multiactor interactive spatial-planning process. The MAS extends an existing approach with the principle of sharing knowledge between participating actors while trying to create a shared vision. In the simulation, actors are modelled as agents. They have desires and preferences regarding the future development of their environment. These are used to develop their individual views on what areas are eligible for change. A facilitator agent coordinates the exchange of information by indicating possible solutions and conflicts to the actor agents. The simulation is demonstrated for an allocation problem in a pilot area in the southeast of the Netherlands. Four different scenarios are implemented, which demonstrate the impact of cooperation and hierarchy during an interactive spatial-planning process. Although the model is kept limited in terms of input data, the results show its potential for providing insight into the relations and interaction between actors, rather than predicting the results of an interactive spatial-planning process.

Suggested Citation

  • Arend Ligtenberg & Adrie Beulens & Dik Kettenis & Arnold K Bregt & Monica Wachowicz, 2009. "Simulating Knowledge Sharing in Spatial Planning: An Agent-Based Approach," Environment and Planning B, , vol. 36(4), pages 644-663, August.
  • Handle: RePEc:sae:envirb:v:36:y:2009:i:4:p:644-663
    DOI: 10.1068/b33059
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b33059
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b33059?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael Batty, 2005. "Agents, Cells, and Cities: New Representational Models for Simulating Multiscale Urban Dynamics," Environment and Planning A, , vol. 37(8), pages 1373-1394, August.
    2. M Duijn & L.H Immers & F.A Waaldijk & H.J. Stoelhorst, 2003. "Gaming Approach Route 26: a Combination of Computer Simulation, Design Tools and Social Interaction," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(3), pages 1-7.
    3. Maarten Hilferink & Piet Rietveld, 1999. "LAND USE SCANNER: An integrated GIS based model for long term projections of land use in urban and rural areas," Journal of Geographical Systems, Springer, vol. 1(2), pages 155-177, July.
    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. Seyed Morsal Ghavami & Mohammad Taleai, 2017. "Towards a conceptual multi-agent-based framework to simulate the spatial group decision-making process," Journal of Geographical Systems, Springer, vol. 19(2), pages 109-132, April.

    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. Mehdi Sheikh Goodarzi & Yousef Sakieh & Shabnam Navardi, 2017. "Scenario-based urban growth allocation in a rapidly developing area: a modeling approach for sustainability analysis of an urban-coastal coupled system," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 1103-1126, June.
    2. Youjung Kim & Galen Newman, 2019. "Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    3. Nick Malleson & Andrew Evans & Tony Jenkins, 2009. "An Agent-Based Model of Burglary," Environment and Planning B, , vol. 36(6), pages 1103-1123, December.
    4. Dimitris Ballas & Richard Kingston & John Stillwell & Jianhui Jin, 2007. "Building a Spatial Microsimulation-Based Planning Support System for Local Policy Making," Environment and Planning A, , vol. 39(10), pages 2482-2499, October.
    5. Janka Lengyel & Seraphim Alvanides & Jan Friedrich, 2023. "Modelling the interdependence of spatial scales in urban systems," Environment and Planning B, , vol. 50(1), pages 182-197, January.
    6. Chris Jacobs-Crisioni & Vasco Diogo & Carolina Perpina Castillo & Claudia Baranzelli & Filipe Batista e Silva & Konstantin Rosina & Boyan Kavalov & Carlo Lavalle, 2017. "The LUISA Territorial Reference Scenario 2017: A technical description," JRC Research Reports JRC108163, Joint Research Centre.
    7. Carolina Perpiña Castillo & Eloína Coll Aliaga & Carlo Lavalle & José Carlos Martínez Llario, 2020. "An Assessment and Spatial Modelling of Agricultural Land Abandonment in Spain (2015–2030)," Sustainability, MDPI, vol. 12(2), pages 1-23, January.
    8. C. Jacobs-Crisioni & C. C. Koopmans, 2016. "Transport link scanner: simulating geographic transport network expansion through individual investments," Journal of Geographical Systems, Springer, vol. 18(3), pages 265-301, July.
    9. Yuan Gao & Chuanrong Zhang & Qingsong He & Yaolin Liu, 2017. "Urban Ecological Security Simulation and Prediction Using an Improved Cellular Automata (CA) Approach—A Case Study for the City of Wuhan in China," IJERPH, MDPI, vol. 14(6), pages 1-20, June.
    10. Diogo, V. & Koomen, E. & Kuhlman, T., 2015. "An economic theory-based explanatory model of agricultural land-use patterns: The Netherlands as a case study," Agricultural Systems, Elsevier, vol. 139(C), pages 1-16.
    11. Huang, Ruihong, 2020. "Transit-based job accessibility and urban spatial structure," Journal of Transport Geography, Elsevier, vol. 86(C).
    12. Rongxu Qiu & Wei Xu & John Zhang & Karl Staenz, 2018. "Modeling and simulating industrial land-use evolution in Shanghai, China," Journal of Geographical Systems, Springer, vol. 20(1), pages 57-83, January.
    13. H. Moel & J. Aerts, 2011. "Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 407-425, July.
    14. Verda Kocabas & Suzana Dragicevic, 2013. "Bayesian networks and agent-based modeling approach for urban land-use and population density change: a BNAS model," Journal of Geographical Systems, Springer, vol. 15(4), pages 403-426, October.
    15. Lang, Wei & Long, Ying & Chen, Tingting & Li, Xun, 2019. "Reinvestigating China’s urbanization through the lens of allometric scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1429-1439.
    16. Mohamed R Ibrahim & James Haworth & Tao Cheng, 2021. "URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision," Environment and Planning B, , vol. 48(1), pages 76-93, January.
    17. D'Acci, Luca, 2013. "A Modern Postmodern Urbanism The Systemic Retroactive game (SyR) between Bottom-up and Top-down," MPRA Paper 48991, University Library of Munich, Germany.
    18. Olivier 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. Nicolas Dendoncker & Mark Rounsevell & Patrick Bogaert, 2005. "Empirically Derived Suitability Maps to Downscale Aggregated Land Use Data," ERSA conference papers ersa05p59, European Regional Science Association.
    20. Amnon Frenkel, 2004. "Land-Use Patterns in the Classification of Cities: The Israeli Case," Environment and Planning B, , vol. 31(5), pages 711-730, October.

    More about this item

    Statistics

    Access and download statistics

    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:sae:envirb:v:36:y:2009:i:4:p:644-663. See general information about how to correct material in RePEc.

    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: SAGE Publications (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.