Evaluating Cultural Ecosystem Services of Nature-Based Solutions in Urban Renewal Using Social Media Data
ソーシャルメディアデータを用いた都市再生における自然に基づく解決策の文化的生態系サービスの評価 (AI 翻訳)
Xin Cheng, Peisi Xu, Sylvie Van Damme
🤖 gxceed AI 要約
日本語
本研究では、ソーシャルメディアデータからテキスト（Jieba分かち書き・辞書マッチング）と画像（手動分類）を統合するフレームワークを開発し、中国成都の都市再生地区における自然に基づく解決策（NBS）の文化的生態系サービス（CES）を評価した。その結果、レクリエーション、インスピレーション、精神的価値が顕著であり、線状緑地やポケットパークが頻出するNBSタイプであることが示された。対応分析によりNBSとCES間の有意な関連も明らかになった。
English
This study develops a framework integrating text mining (Jieba segmentation, dictionary matching) and image classification of social media data to evaluate cultural ecosystem services (CES) from nature-based solutions (NBS) in urban renewal districts in Chengdu, China. Results show recreation, inspiration, and spiritual values are prominent, with linear green infrastructure and pocket parks as the most frequent NBS types. Correspondence analysis reveals significant associations between NBS interventions and CES categories, offering a practical approach for public perception capture and NBS design.
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
中国成都市のケーススタディだが、日本の都市再生やグリーンインフラ計画においても、SNSデータを用いた市民の生態系サービス認識評価手法は応用可能。SSBJや統合報告書での自然資本評価への示唆も考えられる。
In the global GX context
While focused on Chengdu, the methodology using social media data to evaluate cultural ecosystem services from nature-based solutions is globally relevant for urban sustainability planning. It contributes to natural capital accounting and ecosystem service valuation, which are increasingly discussed in ISSB and TNFD frameworks.
👥 読者別の含意
🔬研究者:The AI-driven framework combining text and image mining offers a replicable method for evaluating perceptions of nature-based solutions in urban contexts.
🏢実務担当者:Urban planners and landscape architects can use this approach to assess public appreciation of green infrastructure and inform NBS design.
🏛政策担当者:Policymakers can leverage such real-time public perception data to integrate ecosystem service values into urban renewal and climate adaptation strategies.
📄 Abstract（原文）
Urban renewal increasingly adopts Nature-Based Solutions (NBSs) to address environmental challenges and enhance social well-being. However, it remains unclear whether and to what extent NBSs contribute to cultural ecosystem services (CESs), which reflect people’s perceptions, values, and experiences of urban nature. This study develops an integrated framework combining text and image mining of social media data to evaluate the CES outcomes of NBS in regenerated urban districts in Chengdu, China. The comment data were analyzed for CES using Jieba word segmentation and dictionary matching, while images were categorized into NBS types by manual classification. By integrating these multimodal data, the framework effectively clarifies the relationship between NBSs and CESs from the perspective of public perception. Results indicate that recreation and leisure, inspiration, and spiritual values are the most prominent aspects of public perception, with linear green infrastructure and pocket parks being the most frequently identified NBS types. Correspondence analysis further reveals significant associations between specific NBS interventions and CES categories. By integrating textual and visual data, this study offers a practical and real-time approach for capturing public perceptions of CESs and provides actionable insights for the design and management of NBS-driven urban regeneration.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/f17070749first seen 2026-07-02 05:38:57
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