Understanding students’ residential dynamics around university campuses: A computational agent-based modelling approach

Abstract

Highly populated student areas are known to be accompanied with spatial and social trends that result in disruption and segregation between students and original residents. Therefore, it is essential to understand different factors that affect students' accommodation preferences and the following residential dynamics. This paper uses agentbased modelling to visualize students' distribution and housing occupation around university campuses by applying four different scenarios. Results have also shown that highly populated student areas may become more evident around suburban campuses. Proposed model could be used by urban planners as an urban planning tool to come up with resilient student-oriented housing policies.