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

Thomas Houet, Rahim Aguejdad, Omar Doukari, Guillaume Battaia, Keith Clarke

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number759
JournalCyberGeo
Volume2016
DOIs
Publication statusPublished - 12 Jan 2016
Externally publishedYes

Keywords

  • Land use and land cover
  • Model
  • Scenarios
  • SLEUTH
  • Trajectories
  • Trends vs. contrasting futures

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