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Investigating passenger behavior in airport terminals with multisource data: Recall bias and time budget effects

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  • Chung, Yi-Shih
  • Lu, Kuan-Hung

Abstract

Passenger activities in terminals can be understood better in the current era, when sensors are pervasive throughout airports. This study demonstrated the usefulness of combining multiple-source data to investigate passenger behavior in airports. Objective time-use and terminal activity participation data of 266 air passengers’ behavior at Taipei Songshan International Airport were collected from beacons, a self-developed mobile application, and questionnaires. The study first investigated recall errors generated from self-report questionnaires, an approach commonly used in previous studies with a retrospective design. The study then assessed the participation and duration of terminal activities conducted by passengers with standard, nested, and mixed multiple discrete-continuous extreme value models. The analysis results revealed that recall errors were associated with activity choice and duration and passenger characteristics. These errors were not random but systematic and could potentially lead to biased results in retrospective studies solely based on self-report questionnaires. The estimation results of extreme value models generally confirmed the expected association of terminal activity choice with passenger characteristics, such as more frequent retail store visits in female passengers than in male passengers. However, the associations of passenger characteristics with activity duration could be consistent with or opposite to those with activity choice; for example, frequent flyers tended to consume food and beverages (F&B) more frequently and spend a longer time in restaurants whereas passengers having a long free dwell time were less likely than those having a short free dwell time to consume F&B but the duration was relatively long on average. Managerial implications for airports and retailers and recommendations for future air passenger behavioral studies were provided.

Suggested Citation

  • Chung, Yi-Shih & Lu, Kuan-Hung, 2020. "Investigating passenger behavior in airport terminals with multisource data: Recall bias and time budget effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 410-429.
    • Handle: RePEc:eee:transa:v:141:y:2020:i:c:p:410-429
    DOI: 10.1016/j.tra.2020.09.010
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    References listed on IDEAS

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    1. Lu, Hui & Hess, Stephane & Daly, Andrew & Rohr, Charlene, 2017. "Measuring the impact of alcohol multi-buy promotions on consumers' purchase behaviour," Journal of choice modelling, Elsevier, vol. 24(C), pages 75-95.
    2. Bhat, Chandra R. & Sen, Sudeshna, 2006. "Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 35-53, January.
    3. Caleb Van Nostrand & Vijayaraghavan Sivaraman & Abdul Pinjari, 2013. "Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework," Transportation, Springer, vol. 40(1), pages 151-171, January.
    4. Richards, Timothy J. & Gómez, Miguel I. & Pofahl, Geoffrey, 2012. "A Multiple-discrete/Continuous Model of Price Promotion," Journal of Retailing, Elsevier, vol. 88(2), pages 206-225.
    5. Wen-Chun Tseng & Cheng-Lung Wu, 2019. "A choice model of airline passengers’ spending behaviour in the airport terminal," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(4), pages 380-390, May.
    6. Chung, Yi-Shih & Wu, Cheng-Lung & Chiang, Wan-Erh, 2013. "Air passengers' shopping motivation and information seeking behaviour," Journal of Air Transport Management, Elsevier, vol. 27(C), pages 25-28.
    7. Munizaga, Marcela A. & Heydecker, Benjamin G. & Ortúzar, Juan de Dios, 2000. "Representation of heteroskedasticity in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 34(3), pages 219-240, April.
    8. Chandra Bhat & Frank Koppelman, 1999. "A retrospective and prospective survey of time-use research," Transportation, Springer, vol. 26(2), pages 119-139, May.
    9. Pinjari, Abdul Rawoof & Bhat, Chandra, 2010. "A multiple discrete-continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 562-583, May.
    10. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    11. Ipek Sener & Chandra Bhat, 2007. "An analysis of the social context of children’s weekend discretionary activity participation," Transportation, Springer, vol. 34(6), pages 697-721, November.
    12. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    13. Perng, Shiaw-Wuu & Chow, Chia-Chuan & Liao, Wu-Cheng, 2010. "Analysis of shopping preference and satisfaction with airport retailing products," Journal of Air Transport Management, Elsevier, vol. 16(5), pages 279-283.
    14. Han, Seohui & Ham, Seonok (Sunny) & Yang, Ilsun & Baek, Seunghee, 2012. "Passengers’ perceptions of airline lounges: Importance of attributes that determine usage and service quality measurement," Tourism Management, Elsevier, vol. 33(5), pages 1103-1111.
    Full references (including those not matched with items on IDEAS)

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    3. Mahmut Bakır & Şahap Akan & Emircan Özdemir & Phi-Hung Nguyen & Jung-Fa Tsai & Hong-Anh Pham, 2022. "How to Achieve Passenger Satisfaction in the Airport? Findings from Regression Analysis and Necessary Condition Analysis Approaches through Online Airport Reviews," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
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    5. Dixit, Aasheesh & Choi, Tsan-Ming & Kumar, Patanjal & Jakhar, Suresh K., 2024. "Roles of reciprocity and fairness concerns in airline-airport systems with environmental considerations," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1011-1023.

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