Using Constraint Cellular Automata to Simulate Urban Development in a Cross-border Area

J.-P. Antoni, V. Judge, G. Vuidel, O. Klein

Abstract

Urban sprawl and space consumption have become key issues in sustainable territorial development. Traditional planning approaches are often insufficient to anticipate their complex spatial consequences, especially in cross-border areas. Such complexity requires the use of dynamic spatial simulations and the development of adapted tools like LucSim, a CA-based tool offering solutions for sharing spatial data and simulations among scientists, technicians and stakeholders. Methodologically, this tool allows us to simulate future land use change by first quantifying and then locating the changes. Quantification is based on Markov chains and location on transition rules. The proposed approach is implemented on the Strasbourg-Kehl cross-border area and calibrated with three contrasting prospective scenarios to try to predict cross-border territorial development.

References

  1. Antoni J-P, 2006, Calibrer un modèled'évolution de l'occupation du sol urbain. L'exemple de Belfort, Cybergeo?: European Journal of Geography http://cybergeo.revues.org/2436.
  2. Antoni J-P, 2009, Un territoire de projet à co-construire. In: Grossouvre (de) H, Maulin E (eds) Euro-District Strasbourg-Ortenau?: la construction de l'Europe réelle. Xénia, pp 25-31
  3. Basse RM, Omrani H, Charif O, et al., 2014, Land use changes modelling using advanced methods: Cellular automata and artificial neural networks. The spatial and explicit representation of land cover dynamics at the cross-border region scale. Applied Geography 53:160-171.
  4. Batty M, Xie Y, 1994, From Cells to Cities. Environment and Planning B: Planning and Design 21:531-538
  5. Benenson I, Torrens PM, 2004, Geosimulation: Automatabased modeling of urban phenomena, 1st edition. Wiley
  6. Berchtold A, 1998, Chaînes de Markov etmodèles de transition. Applications aux sciences sociales. Hermes Science Publications, Paris
  7. Clarke KC, Hoppen S, Gaydos L, 1997, A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area. Environment and Planning B: Planning and Design 24:247-261.
  8. Couclelis H, 1985, Cellular Worlds: a framework for modeling micro-macro dynamics. Environment and Planning A 20:99-109.
  9. Couclelis H, 1987, Cellular dynamics: How individual decisions lead to global urban change. European Journal of Operational Research 30:344-346
  10. Couclelis H, 2005, “Where has the Future Gone?” Rethinking the Role of Integrated Land-Use Models in Spatial Planning. Environment and Planning A 37:1353-1371.
  11. Durr MJ, Kayali ML, 2014, Six millions d'habitants pour l'Alsace, Chiffres pour l'Alsace, 50
  12. European Environment Agency, 2006, Urban sprawl in Europe: the ignored challenge. EEA Report.
  13. Feller W, 1968, An Introduction to Probability Theory and Its Applications, 3rd edition. Wiley
  14. Koomen E, Hilferink M, Borsboom-Van Beurden J, 2011, Introducing Land Use Scanner. In: Koomen E, Borsboom-Van Beurden J (eds) Land-Use Modelling in Planning Practice. Springer, pp 3-21
  15. Timmermans HJP, 2003, The Saga of Integrated Land Use-Transport Modeling: How Many More Dreams Before We Wake Up? 10th International Conference on Travel Behaviour Research. Lucerne, Switzerland, p 35.
  16. Torrens PM, 2000, How cellular models of urban systems work (1. theory). CASA Working Paper Series
  17. White R, Engelen G, 1993, Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns. Environment and Planning A 25:1175-1199
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Paper Citation


in Harvard Style

Antoni J., Judge V., Vuidel G. and Klein O. (2017). Using Constraint Cellular Automata to Simulate Urban Development in a Cross-border Area . In Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GAMOLCS, ISBN 978-989-758-252-3, pages 366-369. DOI: 10.5220/0006387703660369


in Bibtex Style

@conference{gamolcs17,
author={J.-P. Antoni and V. Judge and G. Vuidel and O. Klein},
title={Using Constraint Cellular Automata to Simulate Urban Development in a Cross-border Area},
booktitle={Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GAMOLCS,},
year={2017},
pages={366-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006387703660369},
isbn={978-989-758-252-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GAMOLCS,
TI - Using Constraint Cellular Automata to Simulate Urban Development in a Cross-border Area
SN - 978-989-758-252-3
AU - Antoni J.
AU - Judge V.
AU - Vuidel G.
AU - Klein O.
PY - 2017
SP - 366
EP - 369
DO - 10.5220/0006387703660369