{"id":18539,"date":"2015-03-17T12:00:00","date_gmt":"2015-03-17T12:00:00","guid":{"rendered":"https:\/\/dev.inrs.ca\/measuring-the-effect-of-urban-planning-changes\/"},"modified":"2020-12-07T14:28:03","modified_gmt":"2020-12-07T19:28:03","slug":"measuring-the-effect-of-urban-planning-changes","status":"publish","type":"post","link":"https:\/\/dev.inrs.ca\/en\/news\/measuring-the-effect-of-urban-planning-changes\/","title":{"rendered":"Measuring the effect of urban planning changes"},"content":{"rendered":"\n<p style=\"font-size:clamp(14px, 0.875rem + ((1vw - 3.2px) * 0.602), 19px);px\"><strong>With a population likely to grow 27% by 2031, putting an end to urban sprawl in Greater Montreal appears impossible for the short to medium term. But it is possible to slow the pace of urban sprawl by harnessing the full development potential of central areas, according to forecasts by Guillaume Marois, a recent Ph.D. from INRS who has developed a spatial microsimulation model called Local Demographic Simulations (LDS).<\/strong><\/p>\n\n\n\n<p>These findings are presented in an&nbsp;<a href=\"http:\/\/link.springer.com\/article\/10.1007%2Fs11111-015-0234-7#page-1\" target=\"_blank\" rel=\"noreferrer noopener\">article&nbsp;<\/a>co-authored by Guillaume Marois and&nbsp;Professor Alain B\u00e9langer&nbsp;of&nbsp;<a href=\"https:\/\/dev.inrs.ca\/en\/inrs\/research-centres\/urbanisation-culture-societe-research-centre\/\">INRS Centre Urbanisation Culture Soci\u00e9t\u00e9<\/a>, recently published in&nbsp;<a href=\"http:\/\/www.springer.com\/social+sciences\/population+studies\/journal\/11111\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Population and Environment<\/em><\/a>. For their study the researchers developed a reference demographic projection scenario based on actual urban planning and compared its results to two other hypothetical scenarios using different sets of local constraints on residential development.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/dev.inrs.ca\/wp-content\/uploads\/2020\/11\/NEWS_Measuring-the-effect-of-urban-planning-changes_01.jpg\" alt=\"\" width=\"819\" height=\"491\"\/><figcaption>Guillaume Marois developed the LDS microsimulation model as part of his Ph.D. in demography.<\/figcaption><\/figure><\/div>\n\n\n\n<p>The researchers found that variations in housing availability in the city and the suburbs influence residential mobility of families and where they choose to live. Population movement within Greater Montreal (from suburbs to city centre, city centre to suburbs, and between suburbs) impacts local population size, but the age structure in the central city does not seem to be affected.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>\u201cThe LDS model is a powerful tool for forecasting how changes to urban development plans can affect future population distribution. Our results show that LDS works especially well for making local demographic forecasts, an area where traditional methods can\u2019t integrate contextual local variables liable to impact population growth,\u201d the researchers noted.<\/p><\/blockquote>\n\n\n\n<p>Guillaume Marois developed the LDS microsimulation model as part of his Ph.D. in demography. It enables users to forecast populations of the various municipalities of Greater Montreal broken down by age, sex, language, and immigration status. LDS is the first model of its kind to build in demographic factors (fertility, mortality, migration) in a lifecycle perspective and to also control for the impact of local contextual variables (e.g., number of new housing units, presence of a highway).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><br><strong>About this publication<\/strong><\/h3>\n\n\n\n<p>The article,&nbsp;\u201c<a href=\"http:\/\/link.springer.com\/article\/10.1007%2Fs11111-015-0234-7#page-1\" target=\"_blank\" rel=\"noreferrer noopener\">Analyzing the impact of urban planning on population distribution in the Montreal metropolitan area using a small-area microsimulation projection model<\/a>,\u201d was published in&nbsp;<em><a href=\"http:\/\/www.springer.com\/social+sciences\/population+studies\/journal\/11111\" target=\"_blank\" rel=\"noreferrer noopener\">Population and Environment<\/a><\/em>. It presents an application of the Local Demographic Simulations (LDS) model developed by Guillaume Marois during his doctoral studies, under the supervision of Professor Alain B\u00e9langer of INRS Centre Urbanisation Culture Soci\u00e9t\u00e9, with funding from an SSHRC Joseph-Armand Bombardier Canada Graduate Scholarship.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>With a population likely to grow 27% by 2031, putting an end to urban sprawl in Greater Montreal appears impossible for the short to medium term. But it is possible to slow the pace of urban sprawl by harnessing the full development potential of central areas, according to forecasts by Guillaume Marois, a recent Ph.D. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":35852,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[688],"tags":[],"sectors":[734],"class_list":["post-18539","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-innover-a-linrs-en","sectors-urbanisation-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.6 (Yoast SEO v24.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Measuring the effect of urban planning changes | INRS<\/title>\n<meta name=\"description\" content=\"With a population likely to grow 27% by 2031, putting an end to urban sprawl in Greater Montreal appears impossible for the short to medium term. 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