Spa visits carry measurable carbon footprints that vary with energy use and renewables
スパ訪問にはエネルギー使用量と再生可能エネルギーに応じて変動する測定可能な炭素排出量が伴う (AI 翻訳)
Robert Hanea, Finn McFall, Xavier Font, Jonathan Chenoweth, Ionut Corduneanu, Eduard Goean, Dabo Guan, Lorenzo Fioramonti, Jhuma Sadhukhan
🤖 gxceed AI 要約
日本語
スパ施設の訪問者一人当たりの炭素排出量を算定する動的排出計算機を開発。実証データに基づき、大規模リゾートでは約5kg CO2e、小規模施設では約3.5kg CO2eの排出量を推定。2024年のオンサイト再生可能エネルギー導入により排出量がそれぞれ約33％、14％削減された。
English
This study develops a dynamic emissions calculator for spa and wellness facilities, quantifying per-visitor emissions across Scopes 1, 2, and 3. Validation at a large wellness resort (5 kg CO2e per visit) and a small university sports park (3.5 kg CO2e per visit) shows on-site renewable energy reduces emissions by ~33% and ~14% respectively.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、ホスピタリティ業界の脱炭素化が進む中、スパ施設の排出量可視化は観光分野の環境対応に役立つ。Scope 3算定の実例としても参考になる。
In the global GX context
This paper provides a practical carbon footprint tool for the hospitality sector, relevant for global Scope 3 reporting under frameworks like GHG Protocol and ISSB. It demonstrates how renewable energy can significantly reduce per-visitor emissions in service industries.
👥 読者別の含意
🔬研究者:Carbon accounting researchers can use the dynamic modeling approach for sector-specific emission calculators.
🏢実務担当者:Spa and wellness operators can adopt the calculator to measure and reduce their carbon footprint, especially for Scope 3.
🏛政策担当者:Policymakers can reference this tool for developing decarbonization benchmarks in the tourism and hospitality sector.
📄 Abstract（原文）
Abstract Spa and wellness centres constitute a fundamental aspect of contemporary health and lifestyle infrastructure, yet their environmental impacts remain under-assessed. This study presents a dynamic emissions calculator tailored to spa and wellness facilities, designed to generate transparent per-visitor emissions and support decarbonisation and benchmarking. By combining metered data such as energy and water with normalised non-metered sources including waste and staff travel, the model quantifies per-visitor emissions across Scopes 1, 2, and 3 and provides time-resolved profiles showing daily and seasonal patterns. Validation uses data from a large wellness resort and a small university sports park wellness zone. The results show that a typical visit results in average emissions of ~5 kilograms of carbon dioxide equivalent at the large facility and ~3.5 kilograms at the small facility, with on-site renewable energy in 2024 reducing emissions by ~33% and ~14% respectively.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s44458-026-00122-xfirst seen 2026-07-24 05:53:24
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。