Agent-based modelling of residential mobility in metropolitan Sydney

Agent-based modelling (ABM) technique is widely applied in many fields, such as social science and economics, due to its ability to learn and make decisions autonomously; hence, effects from interactions between autonomous agents in an enclosed environment can be accessed. In this study of residential mobility, agents are individuals; households and houses, while the environment of the system is 38 local government areas in Metropolitan Sydney; what distinguishes an agent from another is its attributes and behaviours. The study is composed of two main sections; analysis household survey data and constructing the agent-based model framework. The Household, Income and Labour Dynamics in Australia (HILDA) survey, confidentialised unit record file (CURFs) and Australian census tables are used in constructing the synthetic population and developing rule-based decision making for the agents. The model is developed using NetLogo framework. The goal of this research is to conduct a sensitivity analysis for a range of "what if" scenarios to access possible emergent phenomena from the residential distribution within the study area; such as possible effects from various housing and infrastructure development plans, changes in socio-economics of households and the urban population growth.

Language

  • English

Media Info

  • Pagination: 21p

Subject/Index Terms

Filing Info

  • Accession Number: 01676254
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: Jul 26 2018 10:46AM