Article(id=1282034775170986727, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.10.0604, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748707200000, receivedDateStr=2025-06-01, revisedDate=1755792000000, revisedDateStr=2025-08-22, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590509455, onlineDateStr=2026-07-09, pubDate=1761580800000, pubDateStr=2025-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590509455, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590509455, creator=13701087609, updateTime=1783590509455, updator=13701087609, issue=Issue{id=1282034747870253265, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='10', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1761580800000', pubDateStr='2025-10-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590502946, creator='13701087609', updateTime=1783593819616, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048659068006772, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048659068006773, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282034747870253265, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=181, endPage=189, ext={EN=ArticleExt(id=1282034775401673448, articleId=1282034775170986727, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Firefighting response zone division method based on block accessibility, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

In order to enhance the emergency response efficiency of fire rescue zones, a block accessibility-based method for dividing fire rescue territories was proposed. Basic data were obtained through block boundary extraction, as well as the localization of fire stations and demand points. Multi-period real-time traffic data were acquired via an online map to calculate the integrated travel time from each fire station to every block unit, which served as the basis for division. Blocks were assigned to the corresponding fire station based on the shortest accessibility time. Finally, an optimized zoning scheme and an evaluation of the overall regional accessibility were output. A case study was conducted in the HN-FR area, involving 8 fire stations and 10 067 demand points. A total of 542 block units were extracted, and analysis was performed using 618 483 data samples across 29 scenarios. Results indicate that the overall accessibility time for the HN-FR region is 435.96 s, reflecting relatively poor fire rescue accessibility. Furthermore, significant disparities are observed in the areas of the eight fire station territories, ranging from 0.37 to 12.36 km². This variation is primarily attributed to the proximity of some fire stations to the boundary of HN-FR, resulting in minimal coverage capacity.

, authors=Yanglong WU^{1, 2}, Dingli LIU^{**, 1, 2}, Diping YUAN², Weijun LIU¹, Zhisheng XU³, Xiao LEI¹, authorsList=Yanglong WU, Dingli LIU, Diping YUAN, Weijun LIU, Zhisheng XU, Xiao LEI, authorCompany=null, correspAuthors=Dingli LIU, 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=1282034775934350059, articleId=1282034775170986727, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于街区可达性的消防救援辖区划分方法, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

为提高消防救援辖区的应急响应效率，提出1种基于街区可达性的消防救援辖区划分方法；该方法通过街区边界提取、消防站和需求点定位获取基本数据，并借助在线地图获取多段实时路况数据，计算各消防站到达每个街区的综合行程时间，以此作为划分依据；根据最短时间将街区划归相应消防站，输出辖区划分方案及区域整体可达性评估结果；以研究区域HN-FR的8个消防站、10 067个需求点为案例，提取542个街区单元，并通过29个场景下的约61.85万组数据样本进行分析。结果表明：HN-FR区域的整体可达性时间为435.96 s，整体消防救援可达性较差。此外，8个消防站辖区划分面积差异显著，范围为0.37~12.36 km²。造成这种差异的主要原因在于部分消防站过于靠近HN-FR的边界，能覆盖范围极小。

, authors=吴恙龙^{1, 2}, 刘顶立副教授^{**, 1, 2}, 袁狄平教授², 刘伟军副教授¹, 徐志胜教授³, 雷晓¹, authorsList=吴恙龙, 刘顶立副教授, 袁狄平教授, 刘伟军副教授, 徐志胜教授, 雷晓, authorCompany=null, correspAuthors=刘顶立副教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=Bsh9s7LgqnT4Iw2dyo7GOQ==, magXml=NWwMUYh1vMeADDdhu3xMmg==, pdfUrl=null, pdf=ruwfNpIfF6NfpUCrbvuYIw==, pdfFileSize=1911758, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=7/x6ZJtYifB39NWbFqkBVg==, mapNumber=null, fund=null)}, authors=[Author(id=1282034776425083638, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034775170986727, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=demokim@stu.csust.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282034776504775417, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034775170986727, authorId=1282034776425083638, language=EN, stringName=Yanglong WU, firstName=Yanglong, middleName=null, lastName=WU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹School of Transportation, Changsha University of Science and Technology, Changsha Hunan 410114, China
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²中国矿业大学 深圳研究院，广东 深圳 518000, bio={"content":"

吴恙龙（2000—），男，湖南长沙人，硕士研究生，主要研究方向为应急管理、应急资源配置。E-mail: demokim@stu.csust.edu.cn。

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吴恙龙（2000—），男，湖南长沙人，硕士研究生，主要研究方向为应急管理、应急资源配置。E-mail: demokim@stu.csust.edu.cn。

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