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Synthetic Population Catalyst : a micro-simulated population of England with circadian activities
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dc.contributor.author | Salat, Hadrien | |
dc.contributor.author | Carlino, Dustin | |
dc.contributor.author | Benitez-Paez, Fernando | |
dc.contributor.author | Zanchetta, Anna | |
dc.contributor.author | Arribas-Bel, Daniel | |
dc.contributor.author | Birkin, Mark | |
dc.date.accessioned | 2023-09-26T09:30:16Z | |
dc.date.available | 2023-09-26T09:30:16Z | |
dc.date.issued | 2023-09-25 | |
dc.identifier | 294049284 | |
dc.identifier | 1b936591-3a02-4765-bd12-c9acc72dce42 | |
dc.identifier | 85172789861 | |
dc.identifier.citation | Salat , 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/10.1177/23998083231203066 | en |
dc.identifier.issn | 2399-8083 | |
dc.identifier.other | RIS: urn:D7966729AD9E895E919540E20F1FE407 | |
dc.identifier.other | ORCID: /0000-0002-9884-6471/work/143336007 | |
dc.identifier.uri | https://hdl.handle.net/10023/28450 | |
dc.description | Funding: 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.abstract | The 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.extent | 8 | |
dc.format.extent | 539415 | |
dc.format.extent | 1133244 | |
dc.language.iso | eng | |
dc.relation.ispartof | Environment and Planning B: Urban Analytics and City Science | en |
dc.subject | Population micro-simulation | en |
dc.subject | Social interactions | en |
dc.subject | Transport flows | en |
dc.subject | Synthetic data | en |
dc.subject | QA76 Computer software | en |
dc.subject | RA0421 Public health. Hygiene. Preventive Medicine | en |
dc.subject | 3rd-DAS | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject.lcc | QA76 | en |
dc.subject.lcc | RA0421 | en |
dc.title | Synthetic Population Catalyst : a micro-simulated population of England with circadian activities | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Geography & Sustainable Development | en |
dc.identifier.doi | https://doi.org/10.1177/23998083231203066 | |
dc.description.status | Peer reviewed | en |
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