A study on Airport Access Mode Choice behavior using Mobile data - case of Incheon International Airport

被引：0
|
作者：
Kim, Eunji [1 ]
Lee, Juhwan [1 ]
Shin, Yejin [1 ]
Baik, Hojong [1 ]
机构：
[1] Korea Aerosp Univ, Sch Air Transport Transportat & Logist, Goyang Si, South Korea
来源：
2023 IEEE/AIAA 42ND DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC | 2023年
关键词：
airport access mode choice; Discrete choice model; multinomial choice model; big data;
D O I：
10.1109/DASC58513.2023.10311232
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
This study aims to construct the Incheon International Airport access mode choice model for Seoul passengers, using mobile data generated based on LTE. While previous studies based on the Discrete Choice model commonly relied on survey data, this study attempts to utilize randomly collected big data for constructing the mode allocation model. The results of constructing the model based on the Multinomial Logit model indicate that factors such as travel distance and number of transfers significantly influence the choice of transportation mode for accessing Incheon International Airport, while the cost of travel was found to have little impact.
引用
收藏
页数：6
相关论文
共 50 条
12345