摘要
为了研究旅客出行需求强度问题,采用问卷调查的方式采集数据,对回收的问卷进行数据整理,构建了潜在类别模型,并用软件mplus对出行人群的出行需求强度进行分类,得到结果如下:可通过旅客属性特征调查,将旅客分为4类人群,分别是高需求人群、中高需求人群、中低需求人群、低需求人群。对分类结果采用多元logistic回归分析,结果表示需求强度人群划分影响因素主要为职业、出行目的、票价提高是否出行等。根据回归结果分析可以将4类需求强度异质性做具体的分析。
In order to study the problem of travelers′travel demand intensity,the data were collected by means of questionnaire survey,and the recovered questionnaires were data sorted,Latent Class Model(LCM)was constructed,and the travel demand intensity of travelers was classified with the software mplus,and the results were obtained as follows:travelers can be classified into four categories of people by the travelers′attribute characteristics survey.The results are as follows:travelers can be classified into four groups through the survey of travelers′attribute characteristics,which are the high demand group,the medium high demand group,the medium low demand group,and the low demand group.The classification results were analyzed by multivariate logistic regression analysis,and the results indicated that the influencing factors for the division of the demand intensity crowd were mainly occupation,travel purpose,whether to travel or not when the ticket price was increased,and so on.According to the regression results analysis can be four categories of demand intensity heterogeneity to do specific analysis.
作者
许雅玺
黄子萌
梅烨冉
XU Ya-xi;HUANG Zi-meng;MEI Ye-ran(Civil Aviation Flight University of China,Guanghan 618000,China)
出处
《航空计算技术》
2024年第1期16-20,共5页
Aeronautical Computing Technique
基金
国家自然科学基金与民航基金联合重点项目资助(U2033214)
中央高校基本科研业务费专项资金面上项目资助(J2022-048)
中国民用航空飞行学院研究生教研项目资助(XKJ2021-8)。
