TY  - JOUR
PY  - 2017//
TI  - Characterizing time series of near-miss accidents in metro construction via complex network theory
JO  - Safety science
A1  - Zhou, Cheng
A1  - Ding, Lieyun
A1  - Skibniewski, Miroslaw J.
A1  - Luo, Hanbin
A1  - Jiang, Shuangnan
SP  - 145
EP  - 158
VL  - 98
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0925-7535
UR  - http://dx.doi.org/10.1016/j.ssci.2017.06.012
ID  - ref1
ER  -