Exploring Residential Mobility As a Spatial Practice Via Qualitative Interviews, Quantitative Survey and Agent Based Modeling
In a step-wise design, we included inductive and deductive steps, qualitative and quantitative approaches and finally the construction of an agent-based model to simulate futurehouseholds residential mobility patterns. Firstly, we explored mobility practices by means of in-depth interviews from which we derived context-appropriate information on the orientations and decision criteria of residents. Here, space is included as the life worlds of interviewees.
Secondly, from these results, we constructed a classic questionnaire survey to achieverepresentative data on the decision criteria among different social and demographic groups. In this step, administrative spatial boundaries were introduced in order to standardizequestionnaire responses. From the survey results, thirdly, we develop rules of behavior of households and simulate their decisions in an agent-based model (ABM) as a method to understand patterns emerging from individual behavior. Thus, ABMs use abstract spatial categories and typologies of spatial practices of agents (households in our case). In ABMs, space can be both an independent variable (thus influencing behaviour) and a dependent variable (if the space is influenced by human actions) In our case, space is an independentvariable in that location choice depends on the socio-spatial structures and the images attached to certain places and neighbourhoods, on distances to work-places, social networks, infrastructure access etc. Space is a dependent variable when analyzing collective householdsmigration patterns and the changed patterns of socio-spatial segregation.