Title :
Risk assessment of disaster danger on the railways
Author :
Wu, Yan-hua ; Wang, Fu-zhang ; He, Feng-lin
Author_Institution :
Inst. of Comput. Technol., ICT, China Acad. of Railway Sci., Beijing, China
Abstract :
China railway covers broad region, connects countless urban and rural, passes through complex climate and geographical environment, and suffers several internal and external risks. It can ensure safety of the whole railway if we establish risk assessment system based on the natural disaster and monitor the real-time risk. In this paper, we deeply analyzed the railway incidents caused by disaster, abstracted 3 meteorological factors and 5 geological factors closely related to incident. Then we collected enough historical data, established the relationship between the meteorological factors and the incident´s probability by curve fitting and grey relational analysis. We analyzed the quantitative relationship between the geological factors and the incident´s strength by AHP. Finally, we build a complete Risk Assessment System base on the Probability-Strength Matrix referring to Risk Matrix Theory. The system can provide real-time forecasting and warning for China railway.
Keywords :
climatology; curve fitting; decision making; disasters; geography; grey systems; mechanical strength; meteorology; monitoring; railway safety; risk management; AHP; China railway; complex climate; curve fitting; disaster danger; external risk; geographical environment; geological factor; grey relational analysis; incident probability; internal risk; meteorological factor; natural disaster; railway safety; real-time risk monitoring; risk assessment system; risk matrix theory; strength matrix; Fitting; Geology; Meteorological factors; Rail transportation; Risk management; Wind speed; Railway incident; Risk assessment; geological factors; meteorological factors; natural disasters;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964372