|本期目录/Table of Contents|

[1]吕伟,姜雅娟,李晓恋,等.人群聚集拥挤度的量化表征方法*[J].中国安全生产科学技术,2023,19(1):14-20.[doi:10.11731/j.issn.1673-193x.2023.01.002]
　LYU Wei,JIANG Yajuan,LI Xiaolian,et al.Quantitative method for characterizing congestion degree of gathering crowd[J].Journal of Safety Science and Technology,2023,19(1):14-20.[doi:10.11731/j.issn.1673-193x.2023.01.002]
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人群聚集拥挤度的量化表征方法*()

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
19
期数:
2023年1期
页码:
14-20
栏目:
学术论著
出版日期:
2023-01-31

文章信息/Info

Title:
Quantitative method for characterizing congestion degree of gathering crowd
文章编号:
1673-193X(2023)-01-0014-07
作者:
吕伟; 姜雅娟; 李晓恋; 赵彩虹; 郭辉; 马剑
（1.武汉理工大学 安全科学与应急管理学院，湖北 武汉 430070；
2.福建警察学院 治安系，福建 福州 350007；
3.西南交通大学 交通运输与物流学院，四川 成都 610031）
Author(s):
LYU Wei;  JIANG Yajuan;  LI Xiaolian;  ZHAO Caihong;  GUO Hui;  MA Jian
(1.School of Safety Science and Emergency Management,Wuhan University of Technology,Wuhan Hubei 430070,China;
2.Public Security Department,Fujian Police College,Fuzhou Fujian 350007,China;
3.School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 610031,China)
关键词:
人群聚集; 拥挤度; 个体间距; 监测预警; 量化方法
Keywords:
crowd gathering;  congestion degree;  individual spacing;  monitoring and early warning;  quantitative method
分类号:
X913.4
DOI:
10.11731/j.issn.1673-193x.2023.01.002
文献标志码:
A
摘要:
为有效识别人群聚集区域并量化拥挤人群聚集程度，构建全新的人群聚集拥挤度量化表征方法，归纳总结“人群拥挤度”定义，计算不同条件人群的个人间距并分析其分布特征，基于人群个人间距提出“个体聚集度”和人群“聚集拥挤度”计算方法，并对上海城隍庙豫园内九曲桥的一段入口区域进行实例分析。研究结果表明：人群规模和密度并不能完全真实反映群体拥挤程度，但通过人群个体间距概率分布和累积概率分布可以识别人群的局部聚集现象，基于个人间距的人群聚集度量化方法能够有效地衡量人群局部聚集程度和整体聚集情况，研究结果可为人群风险监测预警提供参考。
Abstract:
In order to effectively identify the crowd aggregation area and quantify the congestion degree of gathering crowd,a new quantitative method for characterizing the congestion degree of gathering crowd was constructed.The definition of congestion degree of crowd was summarized,and the individual spacing of crowd under different conditions and its distribution characteristics were calculated and analyzed.The methods for calculating the individual aggregation degree and crowd congestion degree were proposed based on the individual spacing of crowd.Finally,a real case study was conducted on the entrance area of Jiuqu Bridge in Yuyuan Garden of God Temple in Shanghai.The results showed that the crowd size and density could not truly reflect the group congestion degree,but through the probability distribution of individual spacing and the accumulation probability distribution of crowd,the quantitative method of crowd aggregation based on individual spacing could effectively measure the degree of local aggregation and the overall aggregation of crowd.The results can provide reference for the crowd risk monitoring and early warning.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2021-10-15
* 基金项目： 国家自然科学基金项目（52072286）；中央高校基本科研业务费专项资金项目（2021zy072，202110497088）
作者简介： 吕伟，博士，副教授，主要研究方向为城市公共安全、应急疏散与避难安置、车辆交通及行人动力学。
通信作者： 赵彩虹，硕士，主要研究方向为安全技术及管理。
更新日期/Last Update: 2023-02-14