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基于联合模型的机场航站楼寻路影响因素
引用本文:任新惠,侯慧停.基于联合模型的机场航站楼寻路影响因素[J].交通信息与安全,2021,39(2):153-160.
作者姓名:任新惠  侯慧停
作者单位:中国民航大学经济与管理学院 天津 300300
基金项目:国家自然科学基金项目U1433111
摘    要:为解决旅客感知对机场航站楼寻路影响缺乏定量描述的问题,使用个人素质能力、感知信息有效性、感知设施布局分散程度这3个潜变量作为旅客在寻路过程中的感知影响变量。结合个人属性、出行特征、机场状况等变量,构建融合旅客感知影响的机场航站楼寻路SEM-Logit联合模型,并运用问卷调查数据进行实证分析。结果表明,感知因素潜变量对航站楼内的寻路过程具有重要影响作用。个人素质能力(0.107)、感知信息有效性(0.379)对寻路便捷程度具有正向影响,感知设施布局分散程度(-0.330)具有负向影响;旅客的年龄、性别也是影响航站楼寻路的关键因素。联合模型比基础回归模型考虑因素更全面、解释能力更强。 

关 键 词:机场航站楼    寻路    旅客感知    SEM-Logit联合模型
收稿时间:2020-10-20

Influencing Factors of Airport Terminal Wayfinding Based on an Integrated Model
REN Xinhui,HOU Huiting.Influencing Factors of Airport Terminal Wayfinding Based on an Integrated Model[J].Journal of Transport Information and Safety,2021,39(2):153-160.
Authors:REN Xinhui  HOU Huiting
Affiliation:Economics and Management College, Civil Aviation University of China, Tianjin 300300, China
Abstract:This paper aims to solve the problems of quantitatively measuring the influences of passengers' perception on wayfinding of airport terminals. Three latent variables, including personal quality and ability, effectiveness of perception information, and dispersion degree of perceived facilities, are proposed as variables of passengers' perception during wayfinding. An SEM-Logit integrated model of airport terminal wayfinding with passengers' perception is constructed by combining individual attributes, travel characteristics, and airport conditions. The empirical analysis is conducted using the data collected from a questionnaire survey. The results show that the latent variables of perception factors significantly affect the wayfinding process in the terminal. Personal qualities(0.107)and effectiveness of perceived information(0.379)have positive impacts on the convenience of wayfinding, while degree of dispersion of perceived facilities(-0.330)has negative impacts. The age and gender of passengers are also key factors affecting the wayfinding in the terminal. The results show that the integrated model considers factors more comprehensively and has a stronger explanatory ability than the basic regression model. 
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