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dc.contributor.authorSalat, Hadrien
dc.contributor.authorCarlino, Dustin
dc.contributor.authorBenitez-Paez, Fernando
dc.contributor.authorZanchetta, Anna
dc.contributor.authorArribas-Bel, Daniel
dc.contributor.authorBirkin, Mark
dc.date.accessioned2023-09-26T09:30:16Z
dc.date.available2023-09-26T09:30:16Z
dc.date.issued2023-09-25
dc.identifier294049284
dc.identifier1b936591-3a02-4765-bd12-c9acc72dce42
dc.identifier85172789861
dc.identifier.citationSalat , H , Carlino , D , Benitez-Paez , F , Zanchetta , A , Arribas-Bel , D & Birkin , M 2023 , ' Synthetic Population Catalyst : a micro-simulated population of England with circadian activities ' , Environment and Planning B: Urban Analytics and City Science , vol. OnlineFirst . https://doi.org/10.1177/23998083231203066en
dc.identifier.issn2399-8083
dc.identifier.otherRIS: urn:D7966729AD9E895E919540E20F1FE407
dc.identifier.otherORCID: /0000-0002-9884-6471/work/143336007
dc.identifier.urihttps://hdl.handle.net/10023/28450
dc.descriptionFunding: This work was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/W006022/1, particularly the “Ecosystem of Digital Twin” and “Shocks and Resilience” themes within that grant & The Alan Turing Institute.en
dc.description.abstractThe Synthetic Population Catalyst (SPC) is an open-source tool for the simulation of populations. Building on previous efforts, synthetic populations can be created for any area in England, from a small geographical unit to the entire country, and linked to geolocalised daily activities. In contrast to most transport models, the output is focussed on the population itself and the way people socially interact together, rather than on a precise modelling of the volume of transport trips from one area to another. SPC is therefore particularly well suited, for example, to study the spread of a pandemic within a population. Other applications include identifying segregation patterns and potential causes of inequality of opportunity amongst individuals. It is fast, thanks to its Rust codebase. The outputs for each lieutenancy area in England are directly available without having to run the code.
dc.format.extent8
dc.format.extent539415
dc.format.extent1133244
dc.language.isoeng
dc.relation.ispartofEnvironment and Planning B: Urban Analytics and City Scienceen
dc.subjectPopulation micro-simulationen
dc.subjectSocial interactionsen
dc.subjectTransport flowsen
dc.subjectSynthetic dataen
dc.subjectQA76 Computer softwareen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subject3rd-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccQA76en
dc.subject.lccRA0421en
dc.titleSynthetic Population Catalyst : a micro-simulated population of England with circadian activitiesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.identifier.doihttps://doi.org/10.1177/23998083231203066
dc.description.statusPeer revieweden


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