{"id":3268,"date":"2025-12-01T14:08:32","date_gmt":"2025-12-01T13:08:32","guid":{"rendered":"https:\/\/spatialeconomics.nl\/crisp-model-ontwikkeld-door-ruimtelijk-economen-gebruikt-in-world-urbanization-prospects-2025\/"},"modified":"2025-12-01T14:20:35","modified_gmt":"2025-12-01T13:20:35","slug":"crisp-model-ontwikkeld-door-ruimtelijk-economen-gebruikt-in-world-urbanization-prospects-2025","status":"publish","type":"post","link":"https:\/\/spatialeconomics.nl\/en\/crisp-model-ontwikkeld-door-ruimtelijk-economen-gebruikt-in-world-urbanization-prospects-2025\/","title":{"rendered":"Spatial Economists contribute to World Urbanization Prospects 2025: CRISP model"},"content":{"rendered":"\n<p>The United Nations has released its latest projections on global urbanisation, a periodically published outlook that plays a central role in providing insight into how cities around the world are expected to grow in the coming decades. A key part of the spatial forecasting in this edition of the \u2018<a href=\"https:\/\/www.un.org\/development\/desa\/pd\/world-urbanization-prospects-2025-0\" target=\"_blank\" rel=\"noreferrer noopener\">World Urbanization Prospects 2025<\/a>\u2019 was supported by researchers from Vrije Universiteit Amsterdam, who were acknowledged for their contribution.<\/p>\n\n\n\n<p>At the heart of their input is the CRISP model, a new tool designed to translate national population projections into detailed, 1-kilometre global grids for the years 2020 to 2100. The publication, entitled \u2018<a href=\"https:\/\/research.vu.nl\/en\/publications\/introducing-the-crisp-model-to-downscale-future-population-projec\/\" target=\"_blank\" rel=\"noreferrer noopener\">Introducing the CRISP model to downscale future population projections<\/a>\u2019 is authored by several current and former members of the Department of Spatial Economics and others, namely: Chris Jacobs-Crisioni, Marcello Schiavina, Katarzyna Krasnod\u0119bska, Lewis Dijkstra, <a href=\"https:\/\/research.vu.nl\/en\/persons\/jip-claassens\/\" target=\"_blank\" rel=\"noreferrer noopener\">Jip Claassens<\/a>, Maarten Hilferink, <a href=\"https:\/\/research.vu.nl\/en\/persons\/thijmen-van-der-wielen\/\" target=\"_blank\" rel=\"noreferrer noopener\">Thijmen van der Wielen<\/a>, and <a href=\"https:\/\/research.vu.nl\/en\/persons\/eric-koomen\/\" target=\"_blank\" rel=\"noreferrer noopener\">Eric Koomen<\/a>.<\/p>\n\n\n\n<p>Created to support the UN\u2019s assessment of future urbanisation levels, CRISP offers a highly granular view of how populations and built-up areas may evolve. Its three-step approach includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Estimating population and built-up area change for roughly 1,000 functional regions worldwide, grounded in national demographic forecasts.<\/li>\n\n\n\n<li>Allocating newly built-up land at the grid-cell level, considering factors such as proximity to existing settlements and roads, water bodies, and current urban density.<\/li>\n\n\n\n<li>Redistributing population within regions to account for internal migration patterns, growth in attractive areas, and decline in less suitable locations.<\/li>\n<\/ul>\n\n\n\n<p>Beyond its role in the UN projections, the CRISP model opens the door to numerous other applications in global change research, urban planning, and policy analysis, providing a flexible framework for mapping long-term demographic and spatial trends.<\/p>\n\n\n\n<p>The publication introducing the model formed an important methodological input for the UN\u2019s \u2018World Urbanization Prospects 2025\u2019, one of the most widely referenced international studies on global urban growth.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The United Nations has released its latest projections on global urbanisation, a periodically published outlook that plays a central role in providing insight into how cities around the world are expected to grow in the coming decades. A key part of the spatial forecasting in this edition of the \u2018World Urbanization Prospects 2025\u2019 was supported&hellip;<\/p>\n","protected":false},"author":2,"featured_media":1641,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"none","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"categories":[19],"tags":[],"class_list":["post-3268","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/posts\/3268","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/comments?post=3268"}],"version-history":[{"count":1,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/posts\/3268\/revisions"}],"predecessor-version":[{"id":3270,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/posts\/3268\/revisions\/3270"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/media\/1641"}],"wp:attachment":[{"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/media?parent=3268"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/categories?post=3268"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/tags?post=3268"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}