Synthetic population Catalyst: A micro-simulated population of England with circadian activities

Author:

Salat Hadrien1ORCID,Carlino Dustin1,Benitez-Paez Fernando21ORCID,Zanchetta Anna1,Arribas-Bel Daniel31ORCID,Birkin Mark41

Affiliation:

1. The Alan Turing Institute, UK

2. University of St Andrews, UK

3. University of Liverpool, UK

4. University of Leeds, UK

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.

Funder

Engineering and Physical Sciences Research Council

Publisher

SAGE Publications

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Urban Studies,Geography, Planning and Development,Architecture

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detecting synthetic population bias using a spatially-oriented framework and independent validation data;International Journal of Geographical Information Science;2024-05-24

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