The multi-agent approach is the most promising among the modeling techniques developed in recent decade and applicable to demography and social science. Its development has revived old and raised new questions regarding the dynamics of complex human systems. This paper considers these questions with respect to the dynamics of urban residential distribution. The discussion is illustrated by several model examples, ranging from Schelling-type abstract agent-based models to real-world simulations of the population dynamics of an urban region having a population of 30,000
In this paper, we present a geographically explicit agent-based model, loosely coupled with vector G...
Urban land-use modeling methods have experienced substantial improvements in the last several decade...
Agent based modelling has been widely accepted as a promising tool for urban planning purposes thank...
The recent intensive developments of multi-agent socio-economic simulations still lack real-world ex...
The paper reviews different approaches to urban population from the point of view of the theory of c...
ABSTRACT. This paper considers a multi-agent simulation model of the population dynamics in a city, ...
The standard Urban Economics model (Alonso, Muth, Mills) describes analytically an equilibrium of ho...
The standard Urban Economics model (Alonso, Muth, Mills) describes analytically an equilibrium of ho...
Householder residential choice and residential mobility are among the touchstones of theoretical and...
Residential segregation influences many aspects of urban life. It affects people's access to centres...
Multi-Agent systems are a powerful technique to analyse spatially distributed systems of heterogeneo...
This study uses an agent-based modeling (ABM) approach to simulate residential dynami...
A city is generally considered as an organic complex system. A city is highly interactive and conta...
This article presents a general agent-based simulation approach that captures agents’ decision-makin...
Urban dynamics is driven by the location decisions of firms and households. The preferences of house...
In this paper, we present a geographically explicit agent-based model, loosely coupled with vector G...
Urban land-use modeling methods have experienced substantial improvements in the last several decade...
Agent based modelling has been widely accepted as a promising tool for urban planning purposes thank...
The recent intensive developments of multi-agent socio-economic simulations still lack real-world ex...
The paper reviews different approaches to urban population from the point of view of the theory of c...
ABSTRACT. This paper considers a multi-agent simulation model of the population dynamics in a city, ...
The standard Urban Economics model (Alonso, Muth, Mills) describes analytically an equilibrium of ho...
The standard Urban Economics model (Alonso, Muth, Mills) describes analytically an equilibrium of ho...
Householder residential choice and residential mobility are among the touchstones of theoretical and...
Residential segregation influences many aspects of urban life. It affects people's access to centres...
Multi-Agent systems are a powerful technique to analyse spatially distributed systems of heterogeneo...
This study uses an agent-based modeling (ABM) approach to simulate residential dynami...
A city is generally considered as an organic complex system. A city is highly interactive and conta...
This article presents a general agent-based simulation approach that captures agents’ decision-makin...
Urban dynamics is driven by the location decisions of firms and households. The preferences of house...
In this paper, we present a geographically explicit agent-based model, loosely coupled with vector G...
Urban land-use modeling methods have experienced substantial improvements in the last several decade...
Agent based modelling has been widely accepted as a promising tool for urban planning purposes thank...