Determinants of Long Distance Traveler’s Arrival Modes: A Case Study of the Beijing Capital Airport

  • Zhenhua Mou
  • Weiwei Liang
  • Yanyan ChenEmail author
  • Yao Lu
  • Shaohua Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)


Before the formal long-distance travel, the travelers usually have four common modes to get to the airport or railway station: metro, airport coach, auto, and taxi. This study was proposed to analyses the determinants of long-distance traveler’s arrival modes to the airport. Based on the theory of planned behavior (TPB), a questionnaire survey was designed and conducted to acquire the variable data of the psychological factors that affect urban air passengers’ arrival modes. After the pilot survey, Beijing Capital International Airport was chosen to conduct the survey and more than 3700 sample data was acquired. With the sample data, the coefficient relationship between the behavior attitude, subjective norm, perceived behavior control, and behavior intention was analyzed after validating the reliability and validity. The study also employed a structural equation model (SEM) to explore the insight between the determinants and decision. The correlation variables analyses result and path coefficient reveal that the behavior intention of using various travel modes with the subjective norm having the most impact on the behavior intention. The conclusion part explained why the railway was less used than the coach and people love to use taxi or auto to arrive the air terminals. This study reveals the key determinant that influence the choice of behavior.


Transport engineering Theory of planned behavior Structural equation model Travel mode Long distance travel 



This study was supported by the Humanities and Social Science Funds of the Ministry of Education (Grant:19YJC630124).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Zhenhua Mou
    • 1
    • 2
  • Weiwei Liang
    • 2
  • Yanyan Chen
    • 1
    Email author
  • Yao Lu
    • 2
  • Shaohua Wang
    • 1
  1. 1.Beijing Key Laboratory of Traffic EngineeringBeijingChina
  2. 2.Shandong JianZhu UniversityJinanChina

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