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

Jean-philippe Antoni, Valentine Judge, Gilles Vuidel, Olivier Klein

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management
Place of PublicationPorto
PublisherScite Press
Pages366-369
Number of pages0
Volume1
ISBN (Print)978-989-758-252-3
Publication statusPublished - 2017

Keywords

  • Markov chains
  • cellular automa
  • cross-border area
  • land-use scenarios
  • prospective

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