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.


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    Title :

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


    Contributors:
    Kim, Eunji (author) / Lee, Juhwan (author) / Shin, Yejin (author) / Baik, Hojong (author)


    Publication date :

    2023-10-01


    Size :

    870100 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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