Chapter
Aug 12, 2020
A Study of Airport Access Mode Choice Behavior Based on a Nest Logit Model
Authors: Yuyao Bai [email protected], Shaozhi Hong [email protected], and Xintian Liu [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
This paper uses nest logit model to analyze the travel behavior data of passengers at Pudong Airport. This study classifies the travel mode, occupations and travel purposes. Our modeling outcomes show that: (1) women are more likely to choose self-driving than men, which is different from the existing literature; (2) the passengers who go to the airport in the morning have the highest probability of choosing a taxi, especially before 9 o’clock; (3) the higher the bus accessibility, the lower the possibility of choosing airport bus; and (4) taxis should also be listed in private transportation besides car passenger and self-driving. In addition, an interesting new variable has been found. Data acquisition time can be used for model analysis. The moment when questionnaire is to be filled is recorded in the system, which to be found has great contributions to model.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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1Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ. Email: [email protected]
2Nation Maglev Transportation Engineering R&D Center, Tongji Univ. Email: [email protected]
3Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ. Email: [email protected]
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