TY - GEN
T1 - Quantitative risk assessment method for regional port major hazard installations and its application
AU - Wu, Jing
AU - Hu, Yuchang
AU - Xu, Liansheng
AU - Wang, Guobo
AU - Geng, Jiezhe
AU - He, Longjun
AU - Mao, Xian Ling
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/20
Y1 - 2017/9/20
N2 - Safety risk prevention and control for regional port major hazard installations have a high priority in the safety management of waterway transportation in the Yangtze River. In this study, by considering the risk characteristics for a dense area of major port hazard installations, a quantitative risk assessment method was established, including an assessment process, calculation model, core quantification indexes and acceptable risk criteria. Moreover, a geographically based method for presenting societal risk was applied to analyze the spatial distribution characteristics of societal risk and illustrate the most affected areas. In addition, a case study was examined in Jiangyin Port. The results showed that both the regional 'individual risk' and the regional 'societal risk' were within acceptable limits, although risk prevention and control measures were still needed to reduce risks whenever possible. Geographical societal risk analysis of contributing sources and spatial distribution characteristics showed that: 1) the priority risk prevention and control measures should be conducted in Huaxi Chemical Corporation, which contributed most to regional societal risk; and 2) more attention should be paid to the live villages (Guojia Wei Village, Jijia Village, Huangjia Dan Village, Jinchang Wei Village, and Yangjia Wei Village) that have large societal risk.
AB - Safety risk prevention and control for regional port major hazard installations have a high priority in the safety management of waterway transportation in the Yangtze River. In this study, by considering the risk characteristics for a dense area of major port hazard installations, a quantitative risk assessment method was established, including an assessment process, calculation model, core quantification indexes and acceptable risk criteria. Moreover, a geographically based method for presenting societal risk was applied to analyze the spatial distribution characteristics of societal risk and illustrate the most affected areas. In addition, a case study was examined in Jiangyin Port. The results showed that both the regional 'individual risk' and the regional 'societal risk' were within acceptable limits, although risk prevention and control measures were still needed to reduce risks whenever possible. Geographical societal risk analysis of contributing sources and spatial distribution characteristics showed that: 1) the priority risk prevention and control measures should be conducted in Huaxi Chemical Corporation, which contributed most to regional societal risk; and 2) more attention should be paid to the live villages (Guojia Wei Village, Jijia Village, Huangjia Dan Village, Jinchang Wei Village, and Yangjia Wei Village) that have large societal risk.
KW - Acceptable risk criterion
KW - Geographical societal risk
KW - Individual risk
KW - Regional quantitative risk assessment
KW - Risk source
KW - Societal risk
UR - http://www.scopus.com/inward/record.url?scp=85032807550&partnerID=8YFLogxK
U2 - 10.1109/ICTIS.2017.8047873
DO - 10.1109/ICTIS.2017.8047873
M3 - Conference contribution
AN - SCOPUS:85032807550
T3 - 2017 4th International Conference on Transportation Information and Safety, ICTIS 2017 - Proceedings
SP - 890
EP - 894
BT - 2017 4th International Conference on Transportation Information and Safety, ICTIS 2017 - Proceedings
A2 - Yan, Xinping
A2 - Zhong, Ming
A2 - Lu, Meng
A2 - Wu, Chaozhong
A2 - Qiu, Zhijun
A2 - Hu, Zhaozheng
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Transportation Information and Safety, ICTIS 2017
Y2 - 8 August 2017 through 10 August 2017
ER -