| 摘要: |
| 城市生物多样性治理是全球生物多样性议题不可或
缺的重要内容。政策文本制定是推进城市生物多样性治理的
重要手段，开展政策文本的系统性研究，有助于了解治理进
展和状况，但目前尚缺乏对中国城市生物多样性政策文本的
系统性分析。基于派森(python)语言，以1993年以来654
份中国城市生物多样性治理政策文本为分析数据，通过机器
学习的K-means无监督分类方法对地方政策文本进行聚类，
并分别分析了中央政策文本和地方政策文本的分布特征、事
权演变特征、内容特征、性质特征。结果表明，整体上，中
国的城市生物多样性治理已取得主流化趋势明显、认识提升
明显、工作框架基本形成等阶段性成果，但还存在政策层级
较低、区域不均衡、缺乏多部门联动、性质失衡、针对性和
创新性较弱、内容较空洞和要求欠科学等不足。最后，提出
了加速主流化并完善工作框架、加强科学研究并推动政策升
级、依托国家重大战略和重大工程并促进实践加速等提升治
理水平的可能路径。研究成果能为中国未来的城市生物多样
性治理及其政策制定提供借鉴。 |
| 关键词: 风景园林 城市生物多样性 治理 政策分析 文
本挖掘 机器学习 |
| DOI： |
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| 基金项目: |
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| Research on the Progress of Urban Biodiversity Governance in China Based on Policy Text Analysis |
| ZHONG Le,YANG Rui,FU Yanrong |
| Abstract: |
| Urban biodiversity governance is an indispensable part of
global biodiversity issues. The formulation of policy texts is an important
means to promote the governance of urban biodiversity. Systematic
research on policy texts is helpful to understand the progress and status
of governance. Based on Python, 654 Chinese urban biodiversity
governance policy texts since 1993 were analyzed by using text mining
technology. By means of K-means unsupervised classification of
machine learning, local policy texts are divided into five thematic clusters
of three definite schemes, urban greening management, environmental
protection-related, garden city creation and urban greening, and three
policy properties of mandatory, guiding and encouraging. The paper
deeply analyzes the distribution characteristics, authority evolution
characteristics, content characteristics and nature characteristics of
the policy texts. The results show that, on the whole, China's urban
biodiversity governance has achieved phased results such as the trend of
mainstreaming, the improvement of awareness, and the basic formation
of work frameworks, but there are also shortcomings such as low policy
level, regional imbalance, lack of multi-sectoral linkage, unbalanced
nature or property, weak pertinence and innovative, empty content, and
less scientific requirements. The possible ways to improve governance
level are proposed, including accelerating mainstreaming and improving
work framework, strengthening scientific research and promoting policy
upgrading, relying on national strategic and major engineering projects,
and accelerating practices. The research results can provide reference for
future urban biodiversity governance and policy formulation of China |
| Key words: : landscape architecture urban biodiversity governance policy analysis text mining machine learning |
