Applied Spatial Analysis and Policy

, Volume 5, Issue 3, pp 253–271

Conceptual Design for an Integrated Geosimulation and Analytic Network Process (ANP) in Gentrification Appraisal

  • Soheil Sabri
  • Ahmad Nazri Muhammad M. Ludin
  • Chin Siong Ho
Article

DOI: 10.1007/s12061-011-9069-5

Cite this article as:
Sabri, S., M. Ludin, A.N.M. & Ho, C.S. Appl. Spatial Analysis (2012) 5: 253. doi:10.1007/s12061-011-9069-5
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Abstract

This paper presents a conceptual framework for geosimulation of the New-build gentrification process in an integrated approach. The combination of Multi-Criteria Evaluation (MCE) and Geographic Automata Systems (GAS) facilitates to translate the expert Knowledge into model rules. Analytic Network Process (ANP) is considered as MCE that addresses the relative importance of criteria for New-build gentrification as a complex urban phenomenon. It will be used to determine the different weights of each parameter in every time elapse. GAS which unites Cellular Automata (CA) and Multi-agent Systems (MAS) provides an excellent tool for modeling New-build gentrification. The transition rules are proposed as a combination of land use transformation and residential decision for housing area. The land use change is based on human-agent effects (local authority, neighborhood’s property value and developer) and residential decision is the adaptation of a stress-resistance hypothesis defined by Benenson (2004). The integrated approach is believed to provide a more accurate real-world urban modeling and simulation that can highlight the systematic inequalities of urban context based on the theory of New-build gentrification.

Keywords

Analytic network processGeosimulationNew-build gentrificationUrban inequalities

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Soheil Sabri
    • 1
  • Ahmad Nazri Muhammad M. Ludin
    • 1
  • Chin Siong Ho
    • 1
  1. 1.Department of Urban & Regional Planning, Faculty of Built EnvironmentUniversiti Teknologi MalaysiaSkudaiMalaysia