Agent-based modelling of housing choice in the EASEL regeneration district

Abstract

Housing choice behaviour is made up of a wide array of dynamic individual level behaviour which can be recreated and explored using agent-based modelling (ABM). In the UK, there has been a renewed focus on urban regeneration policies over the past decade by the national government. Such policies seek to deal with the problems of deprivation in communities segregated by socioeconomic status. Using the case study district of East and South Easel Leeds (EASEL), an area known to have pockets of disadvantaged communities, the impacts of regeneration policy will be explored. A computer simulation of residential mobility and regeneration policy is created, in this way, the potential outcomes of regeneration schemes are explored.