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Conventional models of emergency science popularization, characterized by linear knowledge production, homogenized information dissemination, and reliance on single physical settings, are increasingly inadequate for addressing the evolving nature of disaster risks, heterogeneous public perception, and limited scenario coverage. Systematic optimization of emergency science popularization is therefore urgently required. Drawing on socio-technical systems theory, this study employs Latent Dirichlet Allocation (LDA) topic modeling to analyze emergency science popularization texts, extracting a novel development paradigm driven by “technology-institution-space”. Research indicates that the technology-enabled dimension achieves real-time adaptation to evolving disaster risks through dynamic knowledge production; the institutional innovation dimension resolves the challenges of fragmented resource allocation and homogenized information dissemination via a standardised precision communication system; while the spatial integration dimension establishes a comprehensive coverage network by leveraging the convergence of‘physical-social-informational’ triadic spaces. These three dimensions collectively form a multidimensional, comprehensive, and efficient emergency science popularization paradigm. Based on these findings, this study proposes several optimization pathways, including strengthening the application of digital and intelligent technologies, improving the resource support system for emergency science popularization, and promoting comprehensive, cross-regional, and multi-scale dissemination. The study provides a theoretical framework and practical insights for addressing the imbalance between the supply and demand of emergency science popularization and for enhancing public disaster risk awareness and preparedness, thereby supporting the modernization of China’s emergency management system and governance capacity.

, authors=Chong Li, Yibao Wang, authorsList=Chong Li, Yibao Wang, authorCompany=null, correspAuthors=Yibao Wang, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1288943073904411530, articleId=1288943071698207624, tenantId=1146029695717560320, journalId=1149652312894775300, language=CN, title=“技术—制度—空间”三维框架下的应急科普优化路径研究, columnId=1215673776361095575, journalTitle=科普研究, columnName=科普能力, runingTitle=null, highlight=null, articleAbstract=

以线性知识生产、信息同质化传递、单一物理场域为核心的传统应急科普模式难以适配动态灾害风险演化、公众感知异质性需求与场景覆盖局限性的挑战，亟须对其进行系统性优化。本研究基于社会技术系统理论，运用LDA主题建模方法对应急科普文本进行主题挖掘，提炼出“技术—制度—空间”三维框架下的应急科普发展模式。研究发现，技术驱动维度通过动态知识生产实现灾害风险演化的实时适配；制度创新维度以规范化的传播体系破解资源分散供给与信息同质化困境；空间融合维度依托“物理—社会—信息”三元空间融合构建全域覆盖网络。三重维度形成了多维度、全覆盖、高效的应急科普模式。基于此，本研究提出强化数智技术应用，健全应急科普资源支撑体系，推进全方位、跨区域、多尺度传播等方面的优化路径，以期为破解应急科普供需失衡、提升全民灾害风险防范能力提供理论框架与实践路径，助力我国应急管理体系和能力现代化转型。

, authors=李冲, 王义保, authorsList=李冲, 王义保, authorCompany=null, correspAuthors=王义保, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=jVRI/sR2cihQyJUgjizpTg==, magXml=AnUldWJ6hf7I6wo4P3rbBw==, pdfUrl=null, pdf=aHn8d5DW15FCDLWuzwpIWQ==, pdfFileSize=2440642, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=lLA8+IHV+Bxguxk/eSvk9A==, mapNumber=null, fund=null)}, authors=[Author(id=1288943074739078031, tenantId=1146029695717560320, journalId=1149652312894775300, articleId=1288943071698207624, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=lich1011@cumt.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1288943074831352721, tenantId=1146029695717560320, journalId=1149652312894775300, articleId=1288943071698207624, authorId=1288943074739078031, language=EN, stringName=Chong Li, firstName=Chong, middleName=null, lastName=Li, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Public Policy and Management & School of Emergency Management, China University of Mining and Technology, Xuzhou 221116, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1288943074911044498, tenantId=1146029695717560320, journalId=1149652312894775300, articleId=1288943071698207624, authorId=1288943074739078031, language=CN, stringName=李冲, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=中国矿业大学公共管理学院（应急管理学院），徐州　221116, bio={"content":"

李冲，中国矿业大学公共管理学院（应急管理学院）博士研究生，研究方向：城市公共安全、应急管理等，E-mail：lich1011@cumt.edu.cn。

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李冲，中国矿业大学公共管理学院（应急管理学院）博士研究生，研究方向：城市公共安全、应急管理等，E-mail：lich1011@cumt.edu.cn。

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