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 Newbuild 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.