Route-Level Carbon Footprint Assessment for Community-Based Tourism Management: A Case Study from Ban Boonjaem, Thailand
コミュニティベース観光管理のためのルートレベル炭素フットプリント評価：タイ・バンブーンジャムの事例研究 (AI 翻訳)
Piranun Juntapoon, Krit Sittivangkul, Amnuayporn Yaiying, Kassaraporn Tirawong, Parnprae C. Udomraksasup, Tiparad Sahatrongjit
🤖 gxceed AI 要約
日本語
本研究は、タイのコミュニティベース観光（CBT）ルートにおける炭素フットプリントのベースラインを開発した。6時間の旅程を機能単位とし、輸送、飲食、廃棄物を対象に、総排出量0.2234 tCO2e、一人当たり約11.2 kgCO2eを算出した。輸送が最大の排出源（55.89%）であり、低炭素CBT管理のための実践的な証拠を提供している。
English
This study develops a route-level carbon footprint baseline for a community-based tourism itinerary in Thailand. Using life-cycle-informed operational boundaries, it estimates total emissions of 0.2234 tCO2e (223.4 kgCO2e) for a six-hour trip, with transportation contributing 55.89% and food/beverage 38.55%. The findings offer practical decision-support for low-carbon tourism route redesign.
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
日本でもコミュニティベース観光の低炭素化が注目されており、本手法は地域独自の排出データに基づく観光ルート再設計に示唆を与える。ただし、日本の観光地ではSSBJ開示への直接的な接続は限定的。
In the global GX context
Community-based tourism is a growing sector worldwide, and this study provides a replicable methodology for carbon footprinting at the route level, which can support tourism decarbonization in line with UNWTO sustainability goals. It contributes to the broader need for sector-specific carbon accounting beyond corporate disclosure.
👥 読者別の含意
🔬研究者:This provides a case study of carbon footprint methodology applied to tourism, useful for researchers in sustainable tourism and carbon accounting.
🏢実務担当者:Tourism operators can use the approach to identify emission hotspots (transport, food) and design low-carbon itineraries.
🏛政策担当者:Local tourism authorities can leverage this evidence to incentivize low-carbon route development and align with national climate targets.
📄 Abstract（原文）
Community-based tourism (CBT) destinations are increasingly expected to align visitor experiences with climate responsibility, yet local managers often lack product-level carbon evidence that can guide practical route redesign and service decisions. This study addresses this aggregation-to-action gap by developing a route-level carbon footprint baseline for a CBT itinerary in Ban Boonjaem, Phrae Province, Thailand. Using an exploratory and applied case study design, the study treats one completed six-hour, non-overnight itinerary as the functional unit and applies a life-cycle-informed operational boundary covering transportation, food and beverage consumption, and solid waste generated during the route test. Primary activity data were collected from one organized route test involving 20 Thai domestic volunteer tourists and were matched with relevant emission factors to estimate total and per-tourist emissions. The tested itinerary generated 0.2234 tCO2e, equivalent to 223.4 kgCO2e in total and approximately 11.2 kgCO2e per tourist per trip. Transportation was the largest emission domain, accounting for 55.89% of total route emissions, followed by food and beverage consumption at 38.55%, while waste contributed 5.56%. Together, transportation and food and beverage represented 94.44% of measured emissions, indicating that the route’s carbon profile was shaped mainly by mobility arrangements and service provisioning rather than waste generation alone. The study contributes a transparent, route-specific operational baseline for low-carbon CBT management. The findings should be interpreted as case-specific decision-support evidence rather than as a destination-wide carbon inventory or statistically generalizable estimate.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/tourhosp7060165first seen 2026-06-23 05:54:28
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