Research on Risk Assessment of Railway Freight Station Based on Nonlinear Combination of Ahp-Entropy

The freight transportation stations in railway transportation often have problems in managing people, goods, facilities and equipment, and environmental warnings. Risk assessment of railway freight stations is to ensure the safe and reliable operation of freight transport. The results of risk assessment can be used as the basis for the selection of stations. After sorting the risk values of the indicators, they can be controlled for high risk factors. To solve this problem, this paper uses a nonlinear combined weighting method based on AHP and entropy-weighted method, combines with the collected data to obtain the station comprehensive risk value, and returns to determine the risk of each indicator, and obtains the risk ranking of the risk factors of the station to take response. Measures provide data support. Taking the A station in North China as an example, the station's 2016 target data was collected and simulated to obtain the station's risk level and potential risk factors. The conclusion shows that the stations perform well in process management, and there are security risks in the information system and other aspects. The results of the model are in good agreement with the actual conditions, which shows the feasibility of this method.