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Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration

Bentley, PJ; Mathur, R; Lim, SL; Narang, S; (2024) Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration. In: 2024 5th International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2024. (pp. pp. 164-171). IEEE Green open access

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Abstract

Consumers wish to choose sustainable accommodation for their travels, and in the case of corporations, may be required to do so. Yet accommodation marketplaces provide no meaningful capability for sustainable choice: typically CO2 estimates are provided that are identical for all accommodation of the same type across an entire country. We propose a decision support system that enables real choice of sustainable accommodation. We develop a data-driven address-specific metric called EcoGrade, which integrates government approved datasets and uses interpolation where data is sparse. We validate the metric on 10,000 UK addresses in 10 cities, showing the match of our interpolations to reality is statistically significant. We show how the metric has been embedded into a decision support system for a global accommodation marketplace and tested by real users over several months with positive user feedback. In the EU, forty percent of final energy consumption is from buildings. We need to encourage all building owners to make their accommodation more efficient. The rental sector is one area where change can occur rapidly, as rented accommodation is renovated frequently. We anticipate our decision support system using EcoGrade will encourage this positive change.

Type: Proceedings paper
Title: Address-Specific Sustainable Accommodation Choice Through Real-World Data Integration
Event: 2024 Fifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)
Dates: 24 Sep 2024 - 27 Sep 2024
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/IDSTA62194.2024.10746998
Publisher version: https://doi.org/10.1109/idsta62194.2024.10746998
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: decision support system, data interpolation, sustainable accomodation, energy performance certificates
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10203077
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