LAUSR

As a distributing center for passengers, the subway station directly affects the entire subway system’s safe operation. Accurate operational subway station risk evaluation has an important significance in risk avoidance and accident emergency response. By analyzing the application of interval type-2 fuzzy TOPSIS (IT2-FTOPSIS) method in risk evaluation, the existing research lacks consideration of the utility function and cannot reflect the actual operational risk of the subway station. To overcome these shortcomings, we develop an IT2-FTOPSIS approach with a utility function and utilize it to evaluate the subway station’s operational risk. Finally, the example of Beijing Subway is selected to illustrate the developed risk evaluation approach’s performance. The results show that the same event has different effects on subway station safe operation at different times or spaces. Namely, the same event may have different risk utility values in different situations. Thus, the developed IT2-FTOPSIS model with a utility function can improve the risk evaluation’s accuracy and reflect the subway station’s operational risk state more reasonable than the previous method.