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RESEARCH PRODUCT

Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-Kehl Cross-Border Area

Olivier KleinGilles VuidelJean-philippe AntoniValentine Judge

subject

Cellular automataMarkov chainOperations researchMarkov chainsComputer science0211 other engineering and technologiesUrban sprawl021107 urban & regional planning02 engineering and technology[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landSpace (commercial competition)Cellular automaton[ SHS.GEO ] Humanities and Social Sciences/GeographyProspective13. Climate actionUrban planning11. Sustainability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingLand use land-use change and forestryLand use scenariosConstraint (mathematics)Spatial analysisCross-border area

description

AcknowledgementsThe research presented in this chapter is part of the Smart. Boundary project supported by the Fonds National de la Recherche in Luxembourg and CNRS in France (ref. INTER/CNRS/12/02). The authors would like also to thank the Grasp Program of LISER for allowing cross-collaboration between the two teams based in Luxembourg and France.; International audience; 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.

10.1007/978-3-319-60801-3_14https://hal.archives-ouvertes.fr/hal-01781292