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ABLOoM: Location Behaviour, Spatial Patterns, and Agent-Based Modelling

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This paper presents an Agent-based LOcation Model (ABLOoM). ABLOoM simulates the location decisions of two main types of agents, namely households and firms. The model contains multiple interactions that are crucial in understanding land use changes, such as interactions of agents with other agents, of agents with their environment and of agents with emerged patterns. In order to understand the mechanisms that are at the basis of land use changes and the formation of land use patterns, ABLOoM allows us to study human behaviour at the microlevel in a spatial context. The models, which include economic theory, aspects of complexity theory and decision rules, show that it is possible to generate macrolevel land use patterns from microlevel spatial decision rules.

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  • Henriëtte S. Otter & Anne van der Veen & Huib J. de Vriend, 2001. "ABLOoM: Location Behaviour, Spatial Patterns, and Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(4), pages 1-2.
  • Handle: RePEc:jas:jasssj:2001-13-1
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    Citations

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    Cited by:

    1. Marcel Ausloos & Herbert Dawid & Ugo Merlone, 2015. "Spatial Interactions in Agent-Based Modeling," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 353-377, Springer.
    2. Brian Muller & Li Yin & Yuseung Kim & Florin Alexandrescu, 2008. "The Dynamics of Land Development in Resort Communities: A Multiagent Simulation of Growth Regimes and Housing Choice," Environment and Planning A, , vol. 40(7), pages 1728-1743, July.
    3. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.
    4. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, University Library of Munich, Germany.
    5. Boulanger, Paul-Marie & Brechet, Thierry, 2005. "Models for policy-making in sustainable development: The state of the art and perspectives for research," Ecological Economics, Elsevier, vol. 55(3), pages 337-350, November.
    6. Mahyar Amirgholy & Hojjat Rezaeestakhruie & Hossain Poorzahedy, 2015. "Multi-objective cordon price design to control long run adverse traffic effects in large urban areas," Netnomics, Springer, vol. 16(1), pages 1-52, August.
    7. Qingxu Huang & Dawn C Parker & Tatiana Filatova & Shipeng Sun, 2014. "A Review of Urban Residential Choice Models Using Agent-Based Modeling," Environment and Planning B, , vol. 41(4), pages 661-689, August.
    8. Theodore Tsekeris & Klimis Vogiatzoglou, 2011. "Spatial agent-based modeling of household and firm location with endogenous transport costs," Netnomics, Springer, vol. 12(2), pages 77-98, July.
    9. Bhuiyan, Shamsuzzaman, 2005. "Policy Options for Dryland Salinity Management: An Agent-Based Model for Catchment Level Analysis," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137795, Australian Agricultural and Resource Economics Society.
    10. SeHoon Lee & Jeong Hee Hong & Jang Won Bae & Il-Chul Moon, 2015. "Impact of Population Relocation to City Commerce: Micro-Level Estimation with Validated Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-5.
    11. Peter Deadman & Derek Robinson & Emilio Moran & Eduardo Brondizio, 2004. "Colonist Household Decisionmaking and Land-Use Change in the Amazon Rainforest: An Agent-Based Simulation," Environment and Planning B, , vol. 31(5), pages 693-709, October.
    12. Argentino Pessoa, 2014. "Agglomeration and regional growth policy: externalities versus comparative advantages," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 1-27, August.
    13. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.

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