About this Journal Submit a Manuscript Table of Contents
Advances in Artificial Intelligence
Volume 2012 (2012), Article ID 964148, 11 pages
http://dx.doi.org/10.1155/2012/964148
Research Article

Simulation of Land-Use Development, Using a Risk-Regarding Agent-Based Model

1Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, ValiAsr Street, Mirdamad Cross, Tehran 19967-15433, Iran
2School of Urban Planning, University of Tehran, Enghelab Avenue,Tehran 14155-6135, Iran

Received 31 May 2012; Revised 6 October 2012; Accepted 6 October 2012

Academic Editor: Joanna Józefowska

Copyright © 2012 F. Hosseinali et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. P. M. Vitousek, H. A. Mooney, J. Lubchenco, and J. M. Melillo, “Human domination of Earth's ecosystems,” Science, vol. 277, no. 5325, pp. 494–499, 1997. View at Publisher · View at Google Scholar · View at Scopus
  2. Q. B. Le, S. J. Park, P. L. G. Vlek, and A. B. Cremers, “Land-Use Dynamic Simulator (LUDAS): a multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification,” Ecological Informatics, vol. 3, no. 2, pp. 135–153, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. R. V. Sheeja, S. Joseph, D. S. Jaya, and R. S. Baiju, “Land use and land cover changes over a century (1914–2007) in the Neyyar River Basin, Kerala: a remote sensing and GIS approach,” International Journal of Digital Earth, vol. 4, no. 3, pp. 258–270, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. R. R. Rindfuss, S. J. Walsh, B. L. Turner, J. Fox, and V. Mishra, “Developing a science of land change: challenges and methodological issues,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 39, pp. 13976–13981, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. D. Valbuena, P. H. Verburg, and A. K. Bregt, “A method to define a typology for agent-based analysis in regional land-use research,” Agriculture, Ecosystems and Environment, vol. 128, no. 1-2, pp. 27–36, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. B. C. Pijanowsld, A. Tayyebi, M. R. Delavar, and M. J. Yazdanpanah, “Urban expansion simulation using geospatial information system and artificial neural networks,” International Journal of Environmental Research, vol. 3, no. 4, pp. 495–502, 2009. View at Scopus
  7. J. C. Castella and P. H. Verburg, “Combination of process-oriented and pattern-oriented models of land-use change in a mountain area of Vietnam,” Ecological Modelling, vol. 202, no. 3-4, pp. 410–420, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Ligtenberg, A. K. Bregt, and R. Van Lammeren, “Multi-actor-based land use modelling: spatial planning using agents,” Landscape and Urban Planning, vol. 56, no. 1-2, pp. 21–33, 2001. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Wooldridge, An Introduction to Multi-Agent Systems, John Wiley and Sons, Chichester, UK, 2002.
  10. P. Maes, “Modeling adaptive autonomous agents,” Artificial Life, vol. 1, no. 1-2, pp. 135–162, 1993.
  11. N. Malleson, A. Heppenstall, and L. See, “Crime reduction through simulation: an agent-based model of burglary,” Computers, Environment and Urban Systems, vol. 34, no. 3, pp. 236–250, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Crooks, C. Castle, and M. Batty, “Key challenges in agent-based modelling for geo-spatial simulation,” Computers, Environment and Urban Systems, vol. 32, no. 6, pp. 417–430, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. D. G. Brown, R. Riolo, D. T. Robinson, M. North, and W. Rand, “Spatial process and data models: toward integration of agent-based models and GIS,” Journal of Geographical Systems, vol. 7, no. 1, pp. 25–47, 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. R. B. Matthews, N. G. Gilbert, A. Roach, J. G. Polhill, and N. M. Gotts, “Agent-based land-use models: a review of applications,” Landscape Ecology, vol. 22, no. 10, pp. 1447–1459, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. D. C. Parker, S. M. Manson, M. A. Janssen, M. J. Hoffmann, and P. Deadman, “Multi-agent systems for the simulation of land-use and land-cover change: a review,” Annals of the Association of American Geographers, vol. 93, no. 2, pp. 314–337, 2003. View at Publisher · View at Google Scholar · View at Scopus
  16. I. Benenson and P. M. Torrens, Geosimulation: Automata-Based Modeling of Urban Phenomena, John Wiley & Sons, 2004.
  17. J. C. Castella, S. Boissau, T. N. Trung, and D. D. Quang, “Agrarian transition and lowland-upland interactions in mountain areas in northern Vietnam: application of a multi-agent simulation model,” Agricultural Systems, vol. 86, no. 3, pp. 312–332, 2005. View at Publisher · View at Google Scholar · View at Scopus
  18. R. B. Matthews, N. G. Gilbert, A. Roach, J. G. Polhill, and N. M. Gotts, “Agent-based land-use models: a review of applications,” Landscape Ecology, vol. 22, no. 10, pp. 1447–1459, 2007. View at Publisher · View at Google Scholar · View at Scopus
  19. D. Valbuena, P. H. Verburg, A. K. Bregt, and A. Ligtenberg, “An agent-based approach to model land-use change at a regional scale,” Landscape Ecology, vol. 25, no. 2, pp. 185–199, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. A. Ligtenberg, R. J. A. van Lammeren, A. K. Bregt, and A. J. M. Beulens, “Validation of an agent-based model for spatial planning: a role-playing approach,” Computers, Environment and Urban Systems, vol. 34, no. 5, pp. 424–434, 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. G. Weiss, Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, Intelligent Robotics and Autonomous Agents, MIT Press, 1999.
  22. T. Spradlin, A Lexicon of Decision Making, Decision Support Systems Resources, 2004.
  23. A. Ligmann-Zielinska, “The impact of risk-taking attitudes on a land use pattern: an agent-based model of residential development,” Journal of Land Use Science, vol. 4, no. 4, pp. 215–232, 2009. View at Publisher · View at Google Scholar · View at Scopus
  24. W. Loibl and T. Toetzer, “Modeling growth and densification processes in suburban regions—simulation of landscape transition with spatial agents,” Environmental Modelling and Software, vol. 18, no. 6, pp. 553–563, 2003. View at Publisher · View at Google Scholar · View at Scopus
  25. G. Tian, Y. Ouyang, Q. Quan, and J. Wu, “Simulating spatiotemporal dynamics of urbanization with multi-agent systems—a case study of the Phoenix metropolitan region, USA,” Ecological Modelling, vol. 222, no. 5, pp. 1129–1138, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. M. M. Bakker and A. M. van Doorn, “Farmer-specific relationships between land use change and landscape factors: introducing agents in empirical land use modelling,” Land Use Policy, vol. 26, no. 3, pp. 809–817, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. L. A. Kuznar and W. G. Frederick, “Environmental constraints and sigmoid utility: implications for value, risk sensitivity, and social status,” Ecological Economics, vol. 46, no. 2, pp. 293–306, 2003. View at Publisher · View at Google Scholar · View at Scopus
  28. A. H. Eagly and S. Chaiken, The Psychology of Attitudes, Harcourt Brace Jovanovich College Publishers, Fort Worth, Tex, USA, 1993.
  29. V. Grimm, U. Berger, F. Bastiansen et al., “A standard protocol for describing individual-based and agent-based models,” Ecological Modelling, vol. 198, no. 1-2, pp. 115–126, 2006. View at Publisher · View at Google Scholar · View at Scopus
  30. V. Grimm, U. Berger, D. L. DeAngelis, J. G. Polhill, J. Giske, and S. F. Railsback, “The ODD protocol: a review and first update,” Ecological Modelling, vol. 221, no. 23, pp. 2760–2768, 2010. View at Publisher · View at Google Scholar · View at Scopus