Article(id=1242139871201010383, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139858899116689, articleNumber=null, orderNo=8, doi=10.3981/j.issn.1000-7857.2022.09.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1629043200000, receivedDateStr=2021-08-16, revisedDate=1644163200000, revisedDateStr=2022-02-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1658310073877, onlineDateStr=2022-07-20, pubDate=1652371200000, pubDateStr=2022-05-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1658310073877, onlineIssueDateStr=2022-07-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078823134, creator=sys-migrate, updateTime=1774078823134, updator=sys-migrate, issue=Issue{id=1242139858899116689, tenantId=1146029695717560320, journalId=1146031591421210625, year='2022', volume='40', issue='9', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1652371200000', pubDateStr='2022-05-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078820200, creator='sys-migrate', updateTime=1774078820200, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=53, endPage=59, ext={EN=ArticleExt(id=1242139875470811886, articleId=1242139871201010383, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A study on epidemic isolation patterns based on optimal locations of emergency resource centers, columnId=1242139869745586885, journalTitle=Science & Technology Review, columnName=Exclusive: Post-pandemic Era, runingTitle=null, highlight=null, articleAbstract=The purpose of this study is to explore the optimal regional epidemic isolation pattern by optimizing the locations of emergency resource centers. To aim at minimizing the distance, a genetic algorithm is used to obtain the global distances under isolation patterns by administrative division, k -means clustering and grid partition, respectively. The results show that the global distance of the isolation by administrative division is the longest while the global distance of the isolation by k -means clustering is the shortest. Under the isolation by the k -means clustering or the grid partition, the global distance can be shortened if there are more partitions. During the epidemic isolation, emergency resource centers in the central or on the edge of an area should be constructed differently. Emergency demand points on the edge of an administrative district should be divided by the nearest distance. There could be delicacy partitions within the isolated areas for better management., authors=MU Di1,2 , CHEN An1,2 , authorsList=MU Di, CHEN An, authorCompany=1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;k 均值聚类隔离、按经纬度网格隔离的全局距离，探讨最便捷、高效的疫情隔离分区方式。研究结果显示，按行政分区进行隔离划分全局距离最长，按k 均值聚类进行隔离划分全局距离最短； k 均值聚类或网格划分下，分区越多，全局距离越短。在进行疫情隔离时，城市中心与边缘区域应急资源集散中心应区别建设，行政分区边缘的应急需求点应就近划分，隔离区域内可进行二次精细分区以便管理。, authors=牟笛1,2 , 陈安1,2 , authorsList=牟笛, 陈安, authorCompany=1. 中国科学院科技战略咨询研究院, 北京 100190;
科技导报
| 专题：后疫情时代 2022, 40(9): 53-59
基于应急资源集散中心选址优化的疫情隔离分区策略
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牟笛, 陈安
作者信息
通讯作者:
陈安(通信作者),研究员,研究方向为现代应急管理、智库理论与方法,电子信箱:anchen@casisd.cn
A study on epidemic isolation patterns based on optimal locations of emergency resource centers
MU Di, CHEN An
Affiliations
出版时间: 2022-05-13
doi: 10.3981/j.issn.1000-7857.2022.09.006
文章导航
为探索区域最优的疫情隔离方式，以最小化距离为目标，利用遗传算法优化应急资源集散中心位置，计算按行政分区隔离、按经纬度欧式距离k 均值聚类隔离、按经纬度网格隔离的全局距离，探讨最便捷、高效的疫情隔离分区方式。研究结果显示，按行政分区进行隔离划分全局距离最长，按k 均值聚类进行隔离划分全局距离最短； k 均值聚类或网格划分下，分区越多，全局距离越短。在进行疫情隔离时，城市中心与边缘区域应急资源集散中心应区别建设，行政分区边缘的应急需求点应就近划分，隔离区域内可进行二次精细分区以便管理。
疫情隔离
/
应急资源
/
应急物流
/
遗传算法
The purpose of this study is to explore the optimal regional epidemic isolation pattern by optimizing the locations of emergency resource centers. To aim at minimizing the distance, a genetic algorithm is used to obtain the global distances under isolation patterns by administrative division, k -means clustering and grid partition, respectively. The results show that the global distance of the isolation by administrative division is the longest while the global distance of the isolation by k -means clustering is the shortest. Under the isolation by the k -means clustering or the grid partition, the global distance can be shortened if there are more partitions. During the epidemic isolation, emergency resource centers in the central or on the edge of an area should be constructed differently. Emergency demand points on the edge of an administrative district should be divided by the nearest distance. There could be delicacy partitions within the isolated areas for better management.
epidemic isolation
/
emergency resource
/
emergency logistics
/
genetic algorithm
牟笛, 陈安.
基于应急资源集散中心选址优化的疫情隔离分区策略.
科技导报,
2022
, 40
(9)
: 53
-59
.
DOI: 10.3981/j.issn.1000-7857.2022.09.006
MU Di, CHEN An.
A study on epidemic isolation patterns based on optimal locations of emergency resource centers[J].
Science & Technology Review ,
2022
, 40
(9)
: 53
-59
.
DOI: 10.3981/j.issn.1000-7857.2022.09.006
2022年第40卷第9期
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文章信息
doi: 10.3981/j.issn.1000-7857.2022.09.006
接收时间：2021-08-16
首发时间：2022-07-20
出版时间：2022-05-13
收稿日期：2021-08-16
修回日期：2022-02-07
通讯作者:
陈安(通信作者),研究员,研究方向为现代应急管理、智库理论与方法,电子信箱:anchen@casisd.cn
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2022.09.006
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2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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