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基于游客体验的旅游活动碳足迹研究
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Abstract:
旅游业带动经济增长的同时，也会产生碳排放引发环境问题。为了响应国家碳中和的目标，需要减少旅游过程中的碳排放。相较于之前的研究以统计数据为基础，本文以游记为基础，提出了词性规则和依存关系相结合的抽取方法，抽取游记中旅游活动和对应情感词，再用旅游活动的碳足迹模型分析个人和地区的旅游活动碳排放，为旅游业的减排工作提供决策依据。
While tourism promotes economic growth, it will also produce carbon emissions and cause envi-ronmental problems. In response to the national goal of carbon neutrality, carbon emissions from tourism need to be reduced. Compared with previous studies based on statistical data, this paper proposes a method based on travel notes, which combines part of speech rules and dependency re-lationship, extracts tourism activities and corresponding emotional words in travel notes, and then analyzes individual and regional carbon emissions of tourism activities with the carbon footprint model of tourism activities, which provides decision-making basis for the emission reduction of tourism industry.
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