Agent-based simulation of urban residential dynamics: a case study of gentrifying areas in Boston
This study uses an agent-based modeling (ABM) approach to simulate residential dynamics in an area of Boston, a city that has increasingly experienced gentrification in the past decades. The model is instantiated using housing data from the City of Boston...
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ndltd-LACETR-oai-collectionscanada.gc.ca-QMM.325012014-02-13T04:00:44ZAgent-based simulation of urban residential dynamics: a case study of gentrifying areas in BostonJackson, JeremySocial Sciences - GeographyThis study uses an agent-based modeling (ABM) approach to simulate residential dynamics in an area of Boston, a city that has increasingly experienced gentrification in the past decades. The model is instantiated using housing data from the City of Boston Assessing Department and uses simple decision-making rules for four classes of agents to simulate the area's residential dynamics. The model employs the consumption explanation of the cause of gentrification, which emphasizes the choices of individuals drawn to urban amenities, while testing the production explanation, which suggests that major investments from the public and private sphere attract and explain gentrification. Verification shows that the processes in the model work according to its construction, capture the system's emergent phenomena and that this ABM may be a valuable explanatory tool for understanding and learning about some processes underlying gentrification.Cette étude recourt à une approche de modélisation à base d'agents dans le but de simuler la dynamique résidentielle d'un quartier de Boston, une ville où l'on observe une forte hausse de l'embourgeoisement depuis quelques décennies. Le modèle est instancié au moyen des données relatives à l'habitation du Assessing Department de la ville de Boston et applique des règles simples de prise de décision à quatre catégories d'agents afin de simuler la dynamique résidentielle du quartier à l'étude. Le modèle se sert de l'explication des habitudes de consommation, qui cause l'embourgeoisement en attirant les individus vers la ville, et examine l'explication de la production qui suggère que l'embourgeoisement est le résultat des investissements massifs en provenance des domaines publics et privés. La vérification montre que les processus du modèle fonctionnent suivant la construction de ce dernier, qu'ils mettent en lumière le phénomène émergent du système et que la modélisation à base d'agents peut permettre de comprendre et d'apprendre certains processus qui sous-tendent l'embourgeoisement.McGill UniversityRaja Sengupta (Supervisor)2009Electronic Thesis or Dissertationapplication/pdfenElectronically-submitted theses.All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.Master of Arts (Department of Geography) http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32501 |
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Social Sciences - Geography Jackson, Jeremy Agent-based simulation of urban residential dynamics: a case study of gentrifying areas in Boston |
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This study uses an agent-based modeling (ABM) approach to simulate residential dynamics in an area of Boston, a city that has increasingly experienced gentrification in the past decades. The model is instantiated using housing data from the City of Boston Assessing Department and uses simple decision-making rules for four classes of agents to simulate the area's residential dynamics. The model employs the consumption explanation of the cause of gentrification, which emphasizes the choices of individuals drawn to urban amenities, while testing the production explanation, which suggests that major investments from the public and private sphere attract and explain gentrification. Verification shows that the processes in the model work according to its construction, capture the system's emergent phenomena and that this ABM may be a valuable explanatory tool for understanding and learning about some processes underlying gentrification. === Cette étude recourt à une approche de modélisation à base d'agents dans le but de simuler la dynamique résidentielle d'un quartier de Boston, une ville où l'on observe une forte hausse de l'embourgeoisement depuis quelques décennies. Le modèle est instancié au moyen des données relatives à l'habitation du Assessing Department de la ville de Boston et applique des règles simples de prise de décision à quatre catégories d'agents afin de simuler la dynamique résidentielle du quartier à l'étude. Le modèle se sert de l'explication des habitudes de consommation, qui cause l'embourgeoisement en attirant les individus vers la ville, et examine l'explication de la production qui suggère que l'embourgeoisement est le résultat des investissements massifs en provenance des domaines publics et privés. La vérification montre que les processus du modèle fonctionnent suivant la construction de ce dernier, qu'ils mettent en lumière le phénomène émergent du système et que la modélisation à base d'agents peut permettre de comprendre et d'apprendre certains processus qui sous-tendent l'embourgeoisement. |
author2 |
Raja Sengupta (Supervisor) |
author_facet |
Raja Sengupta (Supervisor) Jackson, Jeremy |
author |
Jackson, Jeremy |
author_sort |
Jackson, Jeremy |
title |
Agent-based simulation of urban residential dynamics: a case study of gentrifying areas in Boston |
title_short |
Agent-based simulation of urban residential dynamics: a case study of gentrifying areas in Boston |
title_full |
Agent-based simulation of urban residential dynamics: a case study of gentrifying areas in Boston |
title_fullStr |
Agent-based simulation of urban residential dynamics: a case study of gentrifying areas in Boston |
title_full_unstemmed |
Agent-based simulation of urban residential dynamics: a case study of gentrifying areas in Boston |
title_sort |
agent-based simulation of urban residential dynamics: a case study of gentrifying areas in boston |
publisher |
McGill University |
publishDate |
2009 |
url |
http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32501 |
work_keys_str_mv |
AT jacksonjeremy agentbasedsimulationofurbanresidentialdynamicsacasestudyofgentrifyingareasinboston |
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1716643209056092160 |