Where is the clean air? A Bayesian decision framework for personalised cyclist route selection using R-INLA
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Description
Exposure to air pollution in the form of fine particulate matter (PM2.5) is known to cause diseases and cancers. Consequently, the public are increasingly seeking health warnings associated with levels of PM2.5 using mobile phone applications and websites. Often, these existing platforms provide one-size-fits-all guidance, not incorporating user specific personal preferences
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| ID Code: | 205051 | ||||||
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| Item Type: | Contribution to Journal (Journal Article) | ||||||
| Refereed: | Yes | ||||||
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| Measurements or Duration: | 31 pages | ||||||
| DOI: | 10.1214/19-BA1193 | ||||||
| ISSN: | 1936-0975 | ||||||
| Pure ID: | 68781792 | ||||||
| Divisions: | Current > Research Centres > Centre for Data Science Current > Research Centres > Centre for the Environment Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Earth & Atmospheric Sciences Current > Schools > School of Mathematical Sciences |
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| Copyright Owner: | 2019 International Society for Bayesian Analysis | ||||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||
| Deposited On: | 30 Sep 2020 03:07 | ||||||
| Last Modified: | 02 Mar 2024 19:41 |
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