An Impact Analysis of Willingness to Help Vulnerable Groups under Subway Emergencies Based on SEM Model
To address the issue of unclear mechanisms influencing the willingness to help vulnerable groups under subway emergencies,a questionnaire survey is conducted.It aims to refine the analysis of the impact of multiple fac-tors,such as passenger evacuation conditions,their own status,and the target of assistance,on the willingness to as-sist during actual subway emergency evacuations,as well as the structural relationships among these factors.The study finds that elderly group are the most likely to hinder evacuation efficiency(62.92% ),followed by young chil-dren(25.83% ).Among these vulnerable groups,young children are most negatively affected by emergency evacua-tion(51.25% ),followed by elderly group(39.58% ).Through variance analysis,it reveals that passengers'willing-ness to help during evacuation of subway emergencies is significantly influenced by their own conditions,evacua-tion conditions,and the characteristics of those in need of assistance(p<0.05).To refine and optimize the influenc-ing factors of assistance willingness,the study conducts reliability and validity tests,and constructs the Structural Equation Modeling(SEM)is used to accurately identify the key influencing factors of assistance behaviors towards vulnerable groups under subway emergencies,while clarifying the quantitative relationships among these factors.The results indicate that unfavorable evacuation conditions have a direct negative impact on assistance behaviors(-0.162),whereas the conditions of those in need have a direct positive influence(0.151).Additionally,unfavor-able evacuation conditions have a direct positive impact on the conditions of those in need(0.652).These findings suggest that poor evacuation conditions reduce passengers'willingness to help while unfavorable conditions of those in need increase it.The promise of rewards for assistance behaviors also enhances passengers'willingness to help.Notably,even under unfavorable evacuation conditions,passengers still exhibit a high willingness to assist when encountering those in dire need.
rail transitvulnerable groups in the subwayassistance willingnessSEM modelemergency evacuation
万方数据
维普
