Optimizing a Sensor Network's Granularity to Mitigate Urban Heat Island Effect at 2032 Brisbane Olympics
Abstract
In anticipation of the 2032 climate-positive Olympic Games in Brisbane, we address the Urban Heat Island (UHI) effect optimizing the granularity of a sensor network in the Northshore Hamilton Priority Development Area (PDA), i.e., the location of the Athletes' Village, for efficient environmental monitoring and the provision of a Green Information System (IS). We use spatio-temporal sensor data and leverage advanced interpolation techniques to optimize both, temporal and spatial granularity settings. Results and findings from our granularity analysis reveal an optimal temporal granularity at one-hour intervals, providing the optimal trade-off balance between computational efficiency and sufficient detail for urban planning. Finer temporal resolutions do not significantly enhance prediction accuracy. Spatial analysis further helps decision makers to balance trade-offs between economic costs and prediction accuracy, eliminating unnecessary sensors in the network.
Details
- Organisationseinheit(en)
-
Institut für Wirtschaftsinformatik
- Externe Organisation(en)
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Queensland University of Technology
- Typ
- Aufsatz in Konferenzband
- Seiten
- 981-990
- Anzahl der Seiten
- 10
- Publikationsdatum
- 07.01.2025
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Allgemeiner Maschinenbau
- Ziele für nachhaltige Entwicklung
- SDG 13 - Klimaschutzmaßnahmen
- Elektronische Version(en)
-
https://doi.org/10.24251/hicss.2025.116 (Zugang:
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