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Article dans une revue Cybergeo : Revue européenne de géographie / European journal of geography Année : 2016

Description and validation of a " non path-dependent " model for projecting contrasting urban growth futures

Résumé

This paper presents a model (SLEUTH*) for projecting contrasting urban growth futures. It is derived from the SLEUTH model, which has been modified in order to incorporate an additional spatially explicit factor, and to be used in a fully controlled forecasting mode. Our aim is to spatially allocate urban growth, its amount and pattern, according to predefined prospective scenarios and assuming a non path-dependency approach. This modelling approach aims at being used under a "story and simulation" (SAS) approach, which constrains the model validation. To assess model efficiency, three types of tests have been undertaken: (1) sensitivity tests; (2) reproduction of known changes over a past period; and (3) simulation of changes that break trends. Results show that SLEUTH* conveniently simulates expected urban changes for exploring contrasting scenarios that are the basis for land planning strategies.

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Géographie
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Dates et versions

hal-01326063, version 1 (03-06-2016)

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  • HAL Id : hal-01326063 , version 1

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Thomas Houet, Rahim Aguejdad, Omar Doukari, Guillaume Battaia, Keith Clarke. Description and validation of a " non path-dependent " model for projecting contrasting urban growth futures. Cybergeo : Revue européenne de géographie / European journal of geography, 2016. ⟨hal-01326063⟩
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