iCity: A GIS-CA modelling tool for urban planning and decision making

  • Authors:

  • D. Stevens;S. Dragicevic;K. Rothley

  • Affiliations:

  • Spatial Analysis and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada V5A1S6;Spatial Analysis and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada V5A1S6;School of Resource and Environmental Management, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada V5A1S6

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2007

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Abstract

The objective of this study is to present a novel tool for predictive modelling of urban growth. The proposed tool, named iCity - Irregular City, extends the traditional formalization of cellular automata (CA) to include an irregular spatial structure, asynchronous urban growth, and a high spatio-temporal resolution to aid in spatial decision making for urban planning. The iCity software tool was developed as an embedded model within a common desktop geographic information system (GIS) with a user-friendly interface to control modelling operations for urban land-use change. This approach allows the model developer to focus on implementing model logic rather than developing an entire stand-alone modelling application. It also provides the model user with a familiar environment in which to run the model to simulate urban growth.