基于熵权TOPSIS模型的地铁车站运营脆弱性评价方法

Vulnerability Evaluation Method for Metro Station Operation Based on Entropy Weight TOPSIS Model

地铁车站运营具有开放、动态的特征,车站内外多方干扰因素都会影响其正常运营,自身存在较大的脆弱性。本文综合等级全息建模理论和现代因果连锁理论,将地铁车站运营脆弱性的影响因素划分为人员、设备、环境、管理、应急和结构六大类因素。并建立了基于暴露性、易感性、适应性三种内部属性的地铁车站运营脆弱性综合评价指标体系,利用熵权法实现客观赋权,然后由解靠近或远离理想解的程度来度量脆弱性优劣,最终确定车站运营脆弱性综合评分。案例分析证明了评价方法的有效性和可行性。

The operation of metro stations is open and dynamic.Multiple interference factors inside and outside a metro station influence its normal operation,and there is higher vulnerability.In this study,by combining the comprehensive holographic modeling theory and the modern causal chain theory,the factors influencing the vulnerability of metro station operations are classified into six categories:personnel,equipment,environment,management,emergency,and structure.A comprehensive evaluation index system for the vulnerability of a metro station operation was established using three internal attributes:exposure,susceptibility,and adaptability.The entropy weight method was used to achieve the objective weighting,and the degree of vulnerability was subsequently measured by the degree to which a solution was close to or far from the ideal solution.Finally,the vulnerability comprehensive score of the metro station operation was determined.The case analysis demonstrates the effectiveness and feasibility of the evaluation method.