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

Author

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  • 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
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    2. 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.
    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.
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    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.

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