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【背景】近年来，随着政策的加速推动和技术的不断演进，低空经济作为一项战略性新兴产业正在迅速发展，与之相关的交通管理、社会影响及法律规制等问题引发了广泛关注。文献分析表明，公众的关注程度及其聚焦的核心议题，在推动低空经济的社会认知、接受度提升及应用场景落地过程中发挥着关键作用。【目标】为响应国家关于构建现代化综合交通运输体系和培育战略性新兴产业的战略部署，促进低空经济的安全、创新及可持续健康发展。【方法】基于百度指数平台，从搜索指数和资讯指数两个方面分析公众对于低空经济、电动垂直起降飞行器（eVTOL）及无人机关键词关注度的动态演化特征，并结合Latent Dirichlet Allocation(LDA)模型进行主题建模，提取核心主题词进行聚类可视化分析。【数据】以低空经济为关键词，从新浪微博平台爬取12 129条相关文本数据，借助Jieba分词工具，对经过清洗的微博数据进行分词处理，为后续的词频统计与主题可视化分析提供数据基础。【结论】百度平台结果表明：2024年低空经济相关搜索指数和资讯指数较上一年逐步提升，其作为一种新兴的经济形态正逐步获得更广泛的社会认知；通过LDA主题模型，成功识别出十个核心主题，包括企业经济变革、航天航空发展、经济发展动向、人工智能发展等，并对这些主题进行了多维度的归纳与总结。【应用】有助于政府相关部门和学术界及时了解公众群体对于低空经济兴起的看法和关注度，为进一步探索低空经济可持续发展的路径与策略提供理论参考。
Abstract：[Background] In recent years, propelled by accelerated policy support and continuous technological advancements, the low-altitude economy has developed rapidly as a strategic emerging industry while raising widespread concerns regarding its associated challenges in transportation management, social impacts, and legal frameworks. The existing literature indicates that the extent of public attention and its core concerns are pivotal in advancing the social cognition, acceptance, and practical implementation of low-altitude economy applications. [Objective] This study aims to support the safe, innovative, and sustainable development of a low-altitude economy in accordance with national strategic initiatives aimed at constructing a modern, integrated transportation system and to foster strategic emerging industries. [Methods] Using data from the Baidu index platform, we analyzed the dynamics of public interest using the keywords“low-altitude economy”“electric vertical take-off and landing aircraft,”and“unmanned aerial vehicles”based on search volume and media coverage.Through the integrated application of latent Dirichlet allocation(LDA) modeling, we performed the matic extraction and a cluster visualization analysis of the core conceptual domains. [Data] Using the“low-altitude economy”as the target keyword, we crawled 12 129 relevant textual entries from Sina Weibo. The preprocessed microblog data were tokenized using the Jieba segmentation toolkit, thus establishing a structured corpus for subsequent term-frequency analysis and thematic visualization.[Conclusions] Empirical evidence from the Baidu index platform shows that in 2024, both the search and news indices related to the“low-altitude economy”exhibited a steady increase compared with the previous year, thus reflecting an increasing level of public awareness and recognition toward this emerging economic paradigm. Ten core topics were identified using the LDA model, including industrial transformation, aerospace advancement, economic trends, and the development of artificial intelligence. These topics were further categorized and summarized from multiple perspectives. [Application] The findings offer valuable insights for government agencies and academic researchers to better understand public perceptions and attention toward the emergence of the low-altitude economy, thereby providing a theoretical foundation for investigating strategies for its sustainable development.
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基本信息:
DOI：10.19961/j.cnki.1672-4747.2025.04.004
中图分类号:TP391.1;F49;F562
引用信息:
[1]尹超英,于凡媛,邵春福等.基于LDA模型与百度指数的低空经济公众关注主题识别与演化分析[J].交通运输工程与信息学报,2025,23(03):103-114.DOI:10.19961/j.cnki.1672-4747.2025.04.004.
基金信息:
国家自然科学基金项目(52202388,72204114); 教育部人文社科项目(22YJC630191)