Analysis of the Risks of Public Transportation, Escalators: A Case Study of Children Fall off the Escalators

DOI

10.2991/rac-18.2018.65How to use a DOI?

Keywords

public transportation; escalators; fall accident; Accident Tree Analysis(ATA); the calculation of important degree; risk analysis

Abstract

In view of urban public traffic safety, the accident tree analysis(ATA) theory was applied to construct an accident tree model which taken the children fall accident in the escalator area as the top event. According to the accident tree model, the Boolean algebraic function expressions of the accident tree and the success tree were obtained, the minimum cut set and the minimum path set were also determined, and the ranking of structural importance of the basic events was obtained. According to the similar events’ probability of relevant literatures, the basic events’ probability were initially assigned, the ranking of probability importance and critical importance of each basic event structure were also obtained. Through the risk assessment and analysis of the results of the three important rankings, it was shown that children climbing the handrails, no supervision, inadequate adult supervision, no pre-fall prevention devices, post-fall prevention devices were the important factors affecting the children fall accident.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Aiguo Liu
AU  - Jun Ou
AU  - Chen Xu
AU  - Weimin Xiao
AU  - Changjie Li
AU  - Yanbing Li
AU  - Sen Jia
PY  - 2018/10
DA  - 2018/10
TI  - Analysis of the Risks of Public Transportation, Escalators: A Case Study of Children Fall off the Escalators
BT  - Proceedings of the 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018)
PB  - Atlantis Press
SP  - 414
EP  - 419
SN  - 2352-5428
UR  - https://doi.org/10.2991/rac-18.2018.65
DO  - 10.2991/rac-18.2018.65
ID  - Liu2018/10
ER  -