诉求与政策协同演进：基于文本挖掘的武汉东湖绿道治理研究

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基金项目：2024年中央高校基本科研业务费专项资金资助（编号：2024IVA066）；2024年自主创新基金本科生项目“基于多源数据的代际友好出行特征研究与优化设计——以武汉东湖风景区为例”（编号：2024-YS-A1-02）

Abstract

Keywords

Urbangreenways，as crucial carriers for urban ecological restorationand public recreational resources，playa significant role in enhancing urban environmental qualityand quality of life.Focusingon Wuhan East Lake Greenway，this study selected citizens'comments from the Municipal Government Online Message Board from 2017 to 2024.Using the KH Coder tool，the study identified the core demandsand prominent issues related to citizens experiences with greenway usage and revealed the co-evolution mechanisms of these demandsand policy priorities based on policy document analysis.The results show that citizens'demands cover fiveaspects：tourism experience，infrastructureservice，governance of greenway'ssurroundingareas，road-vehicle management，and transportation planning. The contradiction in road-vehicle management is prominent，and the construction and management mechanism of greenway sharing needs to be strengthened.Besides，East Lake Greenway policy change shows a three-phase trajectory：ecological restoration，functional expansionand refined governance，which generally aligns with the public's expectations for thegreenway'scycling functionand smart development. However，the accessible design and children's rights protection need to be furtherenhanced.

Greenways; Eco-tourism scenic area;Citymessage board; Policy evolution; Text mining; Sustainabledevelopment

文章亮点

1）运用KHCoder文本挖掘技术系统分析市民留言，揭示武汉东湖绿道建设与管理存在的问题与矛盾，构建公众诉求与政策文本的关联研究框架，揭示“市民诉求－政策设计”的协同演进机制，为推进我国城市绿道的政策设计与管理机制优化提供实证依据。（剩余10512字）