基于改进GRA-多分类Logistic模型的地铁换乘方式选择影响因素分析

Factor Analysis of Influencing Choice of Subway Transfer Mode based on Improved GRA-Multi-Class Logistic Model

对传统灰色关联分析法进行改进,结合多分类Logistic模型,构建了改进GRA-多分类Logistic模型.对地铁出行者的多个影响因素进行分析,得到主要影响因素对地铁换乘方式选择的影响程度,从而掌握选择不同地铁换乘方式的居民的实际换乘需求.以哈尔滨地铁换乘方式为例,采用SPSS软件进行分析.结果表明:出行者的年龄、出行时间、出行距离是地铁换乘方式的主要影响因素.偏向于选择地铁与自行车、地铁与出租车换乘的乘客主要为中青年群体,年龄在45岁以下居多;短时间内出行时,乘客更加注重时间成本,偏向于选择地铁与网约车换乘;长距离出行时,为减少中途换乘不便,乘客更偏向于选择地铁与地铁换乘、地铁与公交换乘.

In order to grasp the actual transfer needs of residents who choose different subway transfer methods,the traditional gray correlation analysis method is improved.Combined with the multi-class logistic model,and the improved GRA-multi-class logistic model is constructed.The multiple influencing factors of subway travelers are analyzed,and the influence of the main influencing factors on the choice of subway transfer mode is obtained.Taking Harbin subway transfer method as an example,SPSS software is used for the analysis.The results show that age,travel time,and travel distance are the main influencing factors for the subway transfer mode.Passengers who prefer to transfer to subway by bicycle and taxi are mainly young and middle-aged people,mostly under 45 years old.When traveling in a short period of time,passengers pay more attention to time cost and prefer to choose subway and car-hailing transfer.When traveling for long distances,passengers are more inclined to choose subway-to-metro transfer and subway-to-bus transfer in order to reduce the inconvenience of midway transfer.