Urban Sprawl in Europe 2007
DOI: 10.1002/9780470692066.ch7
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Modelling Urban Sprawl: Actors and Mathematics

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Cited by 3 publications
(3 citation statements)
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“…[5,34]) and determine all possible trend combinations and sequences of trends automatically. For the purpose of this paper, these programme packages appeared to be unnecessarily comprehensive and a specific and fast version with a simplified constraint satisfaction algorithm could be implemented based on the techniques developed in [14,17,35].…”
Section: Qualitative Differential Equationsmentioning
confidence: 99%
“…[5,34]) and determine all possible trend combinations and sequences of trends automatically. For the purpose of this paper, these programme packages appeared to be unnecessarily comprehensive and a specific and fast version with a simplified constraint satisfaction algorithm could be implemented based on the techniques developed in [14,17,35].…”
Section: Qualitative Differential Equationsmentioning
confidence: 99%
“…The mathematical theory behind this method was formulated by Kuipers (1994). The algorithm for solving the QuAM model is outlined in Eisenack (2006) and Lüdeke, Reckien, and Petschel-Held (2007). The main idea is to deduce as many conclusions as possible about the dynamic behavior of the system if only the direction (A influences B) and the form (A weakens or reinforces B) of the interactions between the actor classes are known.…”
Section: The Qualitative Attractiveness Migration (Quam) Modelmentioning
confidence: 99%
“…For these reasons, qualitative modeling is increasingly being used in sustainability science (e.g., Bredeweg & Salles, 2003;Eisenack, Kropp, & Welsch, 2006;Guerrin & Dumas, 2001;Zitek, Muhar, Preiss, & Schmutz, 2007). The QuAM model has many applications; it is very useful for understanding urban sprawl and has been proven to reproduce suburban dynamics in a number of case studies in selected European urban regions as well as being of value in assessing possible suburban development paths in them (Lüdeke & Reckien, 2006;Lüdeke, Reckien, & Petschel-Held, 2004;Reckien, 2007). The results of the computer model are promising, but conveying its main ideas and features to practitioners proved to be complicated, according to the experience in the Urbs Pandens project.…”
Section: The Qualitative Attractiveness Migration (Quam) Modelmentioning
confidence: 99%