Agent-based modelling for urban sprawl in the region of Waterloo, Ontario, Canada
Authored by Abdulahad Malik, Rifaat Abdalla
Date Published: 2017
DOI: 10.1007/s40808-017-0271-6
Sponsors:
No sponsors listed
Platforms:
NetLogo
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Agent-based modelling (ABM) is a form of simulation that is phenomenal
in understanding and exploring various types of spatial and non-spatial
problems. The goal of this research is to study agent-based modeling in
an urban context. ArcGIS was used to develop cost raster. In the second
part, NetLogo was used to create agents for the purpose of stochastic
simulation of urban sprawl in Waterloo Region. The cost rasters were
generated using the Cost Distance Tool in ArcGIS with two inputs: source
raster and time raster. The simulating model in NetLogo was created
using three raster layers: proximity to University of Waterloo campus,
proximity to grocery stores and proximity to the LRT stops. The use of
ABM has helped in understanding the urban dynamics and to model the
settlement pattern of students in Waterloo region.
Tags
urban sprawl
Agent based modelling
Raster automata