首页> 外文期刊>Safety science >Characterizing time series of near-miss accidents in metro construction via complex network theory
【24h】

Characterizing time series of near-miss accidents in metro construction via complex network theory

机译:通过复杂的网络理论表征地铁建设中的近乎遗传事故时间序列

获取原文
获取原文并翻译 | 示例
           

摘要

Although theoretical analysis to near-miss accidents in construction industry has been frequently advocated, the dynamic and temporal characters of time series of near-miss accidents remain unclear, which could not be easily uncovered by analytical representation approaches. To address this gap, the characteristics of the near-miss accident time series and the mechanism underlying the near-miss accidents in metro construction have been explored from the perspective of complex network theory. Mapping time series into a complex network with visibility graph algorithm, temporal characters and dynamics of inter event time series of near-miss accidents has been revealed through the analysis and discussion of near miss accident data from the city of Wuhan, China mainland metro construction. All degree distributions of the construct networks, followed by power law, demonstrate that the inter-event time series of near miss accidents are scale-free. Moreover, the results show they all have small-world features and are highly clustered into hierarchical structures, indicating that the complex phenomenon are generally existed. With the analysis on the near-miss accident time series via complex network theory, practical insights into near-miss accidents and safety management in metro construction are also proposed. (C) 2017 Elsevier Ltd. All rights reserved.
机译:尽管经常倡导建筑业的近小姐事故的理论分析,但是时间近小姐事故的动态和时间特征仍不清楚,这仍然不明朗,这不可能通过分析代表方法容易地揭示。为了解决这一差距,从复杂网络理论的角度探讨了近乎发生的事故时间序列和近乎Mistr建设事故的机制的特点。将时间序列映射到具有可见性图算法的复杂网络,通过武汉市中国大陆地铁建设武汉市附近的事故数据附近的分析和讨论,揭示了近乎事故发生的近似小姐事故的时间特征和动态。构建网络的各个程度分布,其次是幂律,展示了近乎小姐事故的帧间活动时间系列是无垢的。此外,结果表明它们都具有小世界特征,并且具有高度聚集在等级结构中,表明通常存在复杂现象。通过复杂的网络理论对近乎失误的事故时间序列分析,还提出了对地铁建设中的近长事故和安全管理的实用洞察。 (c)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号