COMPUTATIONAL SOCIAL SCIENCE

Department of Computational Social Science Seminar Abstract

Friday, 2nd April: 3.00pm

Changing Residence in the City: An Agent-based Model of Residential Mobility in Arlington County

Atesmachew Hailegiorgis, Department of Computational Social Science

Residential mobility is complex dynamic process, which occurs due to individual choice of changing residence location. Agent-based modeling is increasingly being applied to model complex dynamic systems due to its potential to simulate individual decision making processes and local interactions in time and over space. The purpose of this paper is to understand how individual agent mobility behavior and decision-making processes affect the over all composition of the neighborhood in the Arlington county using an agent based model. Residential households are considered as heterogeneous agents who differ in their values, characteristics and decision making processes. The model accounts population growth, immigration and emigration. The decision rule of the household agents' mobility is determined by individual household characteristics, location factors and social bonds. Agents synthesize the available information and respond to the changes of these factors to determine their satisfaction level of the current location. The allocation of new resident location is entirely on the success of the household agent of getting better residential place than the current location. GIS analysis was applied to generate input data for the model using census data and Arlington County GIS database, which is available for scientific research use.. The model is built in JAVA using the MASON library. The model output captures the change in neighborhood composition, change in population number, mobility frequency of agents and density.