Parameter Sensitivity Analyses in Agent-Based Urban Growth Models


  • Sassan Mohammady MSc in GIS
  • Mahmoud Reza Delavar University of Tehran



agent based, urban growth, modelling, sensitivity analysis


Land use activity is a major issue and challenge for town and country planners. Modelling and managing urban growth is a complex problem. Cities are now recognised as complex, non-linear and dynamic process systems. The design of a system that can handle these complexities is a challenging prospect. Local governments that implement urban growth models need to estimate the amount of urban land required in the future given anticipated growth of housing, business, recreation and other urban uses within the boundary. There are so many negative implications related to the type of inappropriate urban development, such as increased traffic and demand for mobility, reduced landscape attractiveness, land use fragmentation, loss of biodiversity and alterations of the hydrological cycle. The aim of this study was to use an agent-based model as a powerful tool for simulating urban growth patterns. Our study area was Sanandaj city located in the west of Iran. Landsat imageries acquired in 2000 and 2006 were used. The dataset used included distance to principle roads, distance to residential areas, elevation, slope, distance to green spaces and distance to region centres, land price and distance to fault. In this study, an appropriate methodology for urban growth modelling using satellite remotely sensed data was presented and evaluated. Percent correct match (PCM), figure of merit and kappa statistics were used to evaluate the simulation results.



Author Biographies

Sassan Mohammady, MSc in GIS

GIS division, Dept. of Surveying and Geomatics Eng., College of Eng., University of Tehran

Mahmoud Reza Delavar, University of Tehran

Center of Excellence in Geomatic Engineering in Disaster Management, Department of Surveying and Geomatics Engineering, College of Engineering