PerezDragicevicGaudreau2019

Référence

Perez, L., Dragicevic, S., Gaudreau, J. (2019) A geospatial agent-based model of the spatial urban dynamics of immigrant population: A study of the island of Montreal, Canada. PLoS ONE, 14(7). (Scopus )

Résumé

Residential segregation into spatial neighborhoods and boroughs is a well-known spatial dynamic process that characterise complex urban environments. Existing models of segregation, including the pioneering Schelling ones, often do not consider all the factors that can contribute to this process. Segregation as well as aggregation emerges from local interactions among individuals, and is rooted in the complexity of social, economic and environmental interactions. The main objective of this study is to develop and implement a geospatial agent-based model to simulate the decision-making process of location of new household for incoming immigrant populations. Particularly this study aims to simulate and analyse the dynamics of the new immigrant populations arriving in the bilingual cities and boroughs of the island of Montreal. The model was implemented in NetLogo software, using real geospatial datasets. The obtained simulation results indicate realistic spatial patterns of spatial composition of the ethnographic fabric on the island of Montreal. The proposed model has the potential to be used as part of the city planning purposes. © 2019 Perez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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@ARTICLE { PerezDragicevicGaudreau2019,
    AUTHOR = { Perez, L. and Dragicevic, S. and Gaudreau, J. },
    TITLE = { A geospatial agent-based model of the spatial urban dynamics of immigrant population: A study of the island of Montreal, Canada },
    JOURNAL = { PLoS ONE },
    YEAR = { 2019 },
    VOLUME = { 14 },
    NUMBER = { 7 },
    NOTE = { cited By 0 },
    ABSTRACT = { Residential segregation into spatial neighborhoods and boroughs is a well-known spatial dynamic process that characterise complex urban environments. Existing models of segregation, including the pioneering Schelling ones, often do not consider all the factors that can contribute to this process. Segregation as well as aggregation emerges from local interactions among individuals, and is rooted in the complexity of social, economic and environmental interactions. The main objective of this study is to develop and implement a geospatial agent-based model to simulate the decision-making process of location of new household for incoming immigrant populations. Particularly this study aims to simulate and analyse the dynamics of the new immigrant populations arriving in the bilingual cities and boroughs of the island of Montreal. The model was implemented in NetLogo software, using real geospatial datasets. The obtained simulation results indicate realistic spatial patterns of spatial composition of the ethnographic fabric on the island of Montreal. The proposed model has the potential to be used as part of the city planning purposes. © 2019 Perez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. },
    AFFILIATION = { Department of Geography, Laboratory of Environmental Geosimulation (LEDGE), Université de Montréal, Montreal, QC, Canada; Department of Geography, Spatial Analysis and Modeling Lab, Faculty of Environment, Simon Fraser University, Burnaby, BC, Canada },
    ART_NUMBER = { e0219188 },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1371/journal.pone.0219188 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069697760&doi=10.1371%2fjournal.pone.0219188&partnerID=40&md5=056b4e19e8b347403ad82ab5994a97f9 },
}

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