Article(id=1307033204460905020, tenantId=1146029695717560320, journalId=1306274063662022745, issueId=1307033095836823737, articleNumber=null, orderNo=null, doi=10.20168/j.1009-0029.2026.08.0140.07, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1766073600000, receivedDateStr=2025-12-19, revisedDate=1780416000000, revisedDateStr=2026-06-03, acceptedDate=null, acceptedDateStr=null, onlineDate=1789550599446, onlineDateStr=2026-09-16, pubDate=1784044800000, pubDateStr=2026-07-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789550599446, onlineIssueDateStr=2026-09-16, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789550599446, creator=13701087609, updateTime=1789550599446, updator=13701087609, issue=Issue{id=1307033095836823737, tenantId=1146029695717560320, journalId=1306274063662022745, year='2026', volume='45', issue='8', pageStart='1', pageEnd='146', issueExtLink='null', onlineDate='null', pubDate='1784044800000', pubDateStr='2026-07-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1789550573547, creator='13701087609', updateTime=1789610016151, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1307282417023214447, tenantId=1146029695717560320, journalId=1306274063662022745, issueId=1307033095836823737, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1307282417023214448, tenantId=1146029695717560320, journalId=1306274063662022745, issueId=1307033095836823737, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=140, endPage=146, ext={EN=ArticleExt(id=1307033208177058365, articleId=1307033204460905020, tenantId=1146029695717560320, journalId=1306274063662022745, language=EN, title=Digital intelligence empowerment for fire law enforcement: Concept renewal and path optimization, columnId=1307033132415349106, journalTitle=Fire Science and Technology, columnName=Emergency management study, runingTitle=null, highlight=null, articleAbstract=
Based on the functional positioning of fire rescue agencies, this paper focuses on the dimension of administrative law enforcement in response to the requirement of "deepening fire control law enforcement reform". Using relevant data from the fire control law enforcement business environment assessment index system established in the 2020 Fire control law enforcement business environment assessment report as the analytical source, combined with information collected from regional research interviews, this paper identifies existing issues that hinder the optimization of the business environment, such as weak intelligence in fire control approvals, weak standardization in case handling, weak scientificity in fire investigations, and weak standardization in supervision and inspection. Through an analysis of the characteristics of various fire control operations and in conjunction with the practical aspects of fire control law enforcement, the paper proposes measures to promote the digital transformation of administrative licensing, establish standardized procedures for case handling, strengthen the full-process standardization of fire investigations, innovate technological empowerment for supervision and inspection, and align the innovation of legal concepts with the transformation of the digital and intelligent era, thereby contributing fire control efforts to optimizing the business environment.
, authors=Yixuan Ma, authorsList=Yixuan Ma, authorCompany=null, correspAuthors=null, 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=1307033209305326146, articleId=1307033204460905020, tenantId=1146029695717560320, journalId=1306274063662022745, language=CN, title=数智赋能消防执法的理念革新与路径优化, columnId=1307033132608287092, journalTitle=消防科学与技术, columnName=应急管理研究, runingTitle=null, highlight=null, articleAbstract=
基于消防救援机构的职能定位,围绕深化消防执法改革要求,聚焦政务执法,以2020年《消防执法营商环境评估报告》中建立的消防执法营商环境评估指标体系为分析来源,结合各地调研访谈,发现目前还存在消防审批智能性弱、案件办理规范性弱、火灾调查科学性弱、监督检查规范性弱等制约优化营商环境的问题。通过对不同消防业务特点进行分析,结合消防执法工作实际,提出应推动行政许可数字化变革、建构案件办理规范化流程、强化火灾调查全流程规范、创新技术赋能监管检查,坚持法治理念革新与数智时代变革相适应,为优化营商环境贡献消防力量。
, authors=马艺轩, authorsList=马艺轩, authorCompany=null, correspAuthors=null, authorNote=
马艺轩,北京警察学院法律教研部,讲师,主要从事行政法、行政执法、执法监督方向研究,北京市昌平区南口镇南涧路11号北京警察学院,102202,1037854883@qq.com。
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马艺轩,北京警察学院法律教研部,讲师,主要从事行政法、行政执法、执法监督方向研究,北京市昌平区南口镇南涧路11号北京警察学院,102202,1037854883@qq.com。
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马艺轩,北京警察学院法律教研部,讲师,主要从事行政法、行政执法、执法监督方向研究,北京市昌平区南口镇南涧路11号北京警察学院,102202,1037854883@qq.com。
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