Simulating Urban Growth and Residential Segregation through Agent-Based Modeling
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Simulating Urban Growth and Residential Segregation through Agent-Based Modeling

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MARETTO, R. V.; ASSIS, T. O.; GAVLAK, A. A. Simulating Urban Growth and Residential Segregation through Agent-Based Modeling. In: BRAZILIAN WORKSHOP ON SOCIAL SIMULATION, 2., , São Bernardo do Campo. ...

MARETTO, R. V.; ASSIS, T. O.; GAVLAK, A. A. Simulating Urban Growth and Residential Segregation through Agent-Based Modeling. In: BRAZILIAN WORKSHOP ON SOCIAL SIMULATION, 2., , São Bernardo do Campo. Proceedings... Los Alamitos: IEEE, 2010. p. 52 - 57. DVD. ISBN 978-0-7695-4471-7, 978-1-4577-0895-4. doi: <10.1109 />.

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Simulating Urban Growth and Residential Segregation through Agent-Based Modeling Simulating Urban Growth and Residential Segregation through Agent-Based Modeling Presentation Transcript

  • Simulating Urban Growth and Residential Segregation through Agent- Based Modeling Raian Vargas Maretto¹ Talita Oliveira Assis² André Augusto Gavlak¹ ¹ {gavlak, raian}@dpi.inpe.br ²{talitaoliveiraassis}@gmail.com
  • Residential segregation
  • Objective • The purpose of this work is to replicate three classical models of urban segregation through the simulation of the individual behavior of agents in a city. KohlBurgess Hoyt Comprehend how Agent Based Modeling can be useful to replicate classical urban growth and urban segregation and models
  • Kohl City Center Low-income residential areas Medium-income residential areas High-income residential areas Thompson, J.K.J. (1983) “Variations in industrial structure in pre-industrial Languedoc”, in Berg, Maxine, Hudson, Pat, and Sonenscher, Michael, Manufacture in town and country before the factory, Cambridge: Cambridge University Press, 61-91.19th century Kohl generalized the way social groups were distributed inside the pre-industrial cities of continental Europe
  • 1920’s Burgess City Center Low-income residential areas Medium-income residential areas High-income residential areas
  • Hoyt City Center Low-income residential areas Medium-income residential areas High-income residential areas Calgary, Canada - 1969 Smith, P.J. (1962) "Calgary: A study in urban pattern", Economic Geography, 38(4), pp.315-329 According to the American economist Hoyt (1939), spatial segregation did not used to assume a circle pattern around the center, but spatial sectors originating from there.
  • Methodology – The environment99cells 99 cells Dwelling unit Can contein an agent – Household Low income – 50% High income – 25% Medium income – 20% Financial agent (commerce, industry and services) – 5 % City starts from the central cell – SEED One agent inserted at each iteraction – Random class
  • Methodology – Hierarchy Financial Agents High Income Agents Medium Income Agents Low Income Agents
  • Methodology – Model Dynamics Attempts to allocate the agent in cell Choose neighbor randomly Expels agent and takes place in cell Insert new agent Takes place in cell Does new agent have priority? Empty cell? N N Y Y Expelledagent
  • Methodology – Hoyt Model High-Income Agents Low-Income Agents Medium-Income Agents
  • Source: (CARNEIRO, 2006) TerraME: Terra Modeling Environment A development plataform for spatially-explicit dynamical modeling
  • TerraME: Concepts Components Spatial structure: Nested CA 1:32:00 Mens. 11. 1:32:10 Mens. 32. 1:38:07 Mens. 23. 1:42:00 Mens.44. . . .return value true 1. Get first pair 2. Execute the ACTION 3. Timer =EVENT 4. timeToHappen += period Temporal structure Newly implanted Deforesting Slowing down latency > 6 years Iddle Year of creation Deforestation = 100% Agents Modeling Generalised Spatial relations Source: [Carneiro, 2006]
  • TerraME: Architecture Source: (CARNEIRO, 2006)
  • Simulation results – Kohl
  • Simulation results - Burgess
  • Simulation results – Hoyt
  • Concluding Remarks Next step  use of real data Agent‐based model was proved to be a suitable tool to reproduce urban growth and urban Residential Segregation models. Methodology makes possible to replicate other models of this kind of phenomena. TerraME has shown to be an powerful tool to implement these models
  • Thank You! Questions?