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Identifying, mapping and modelling trajectories of poverty at the neighbourhood level: The case of Montréal, 1986–2006

Séguin, Anne-Marie ORCID logoORCID: https://orcid.org/0000-0002-6195-7813; Apparicio, Philippe ORCID logoORCID: https://orcid.org/0000-0001-6466-9342 et Riva, Mylène (2012). Identifying, mapping and modelling trajectories of poverty at the neighbourhood level: The case of Montréal, 1986–2006 Applied Geography , vol. 35 , nº 1–2. pp. 265-274. DOI: 10.1016/j.apgeog.2012.07.005.

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Résumé

Longitudinal analysis is rarely leveraged in the field of geography to understand neighbourhood change despite many studies documenting important transformations within metropolitan areas (e.g. gentrification, impoverishment of inner suburbs, etc.). This paper aims to identify and model trajectories of neighbourhood poverty in Montreal over five consecutive census years (1986, 1991, 1996, 2001 and 2006), using Latent Class Growth Modelling. Neighbourhoods are classified in eight groups, identifying those with stable, increasing or declining trajectories of poverty. Multinomial logistic regression analysis shows that the proportion of residents with low levels of education, unemployment rate, proportion of recent immigrants and the proportion of renters measured at the beginning of the period (1986) are important predictors of poverty trajectories, as are variations throughout the study period (1986–2006) in the proportions of recent immigrants and of residents with low levels of education.

Type de document: Article
Mots-clés libres: Neighborhood change; Poverty; Latent class growth analysis; Montréal
Centre: Centre Urbanisation Culture Société
Date de dépôt: 09 oct. 2013 22:17
Dernière modification: 03 août 2022 13:56
URI: https://espace.inrs.ca/id/eprint/1611

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