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The effect of online meeting and health screening on business travel: A stated preference case study in Hong Kong

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  • Chen, Tiantian
  • Fu, Xiaowen
  • Hensher, David A.
  • Li, Zhi-Chun
  • Sze, N.N.

Abstract

This study quantifies the effects of health control measures at the airport on passenger behaviour related to business travel. A stated preference survey was conducted over potential air travellers in Hong Kong in the context of COVID-19 pandemic. Panel latent class models were estimated to understand passenger preference toward new travel requirements given the applicability of online meeting. Online meeting is applicable in cases where it is a good substitute of air travel and achieves the same outcomes of a trip, and inapplicable otherwise. Empirical results indicate that traveller subgroups are affected in different ways. When an online meeting is inapplicable, nearly 75% of the respondents prefer to travel for business and undertake health screenings. These passengers (identified as “captive” business travellers) perceive such measures necessary to lower health related risks during air travel. As such, they are willing to spend up to 21 to 38 min on the health control measures such as vaccination record requirements and test involving sample collection. When an online meeting is applicable, the share of “choice” business travellers is about 45%, among whom the attitudes towards health control measures become more averse. The average weighted willingness-to-pay for the time saved at health checkpoints increase significantly. The aviation industry thus faces a “double-hit” problem: operation costs will increase due to pandemic control measures, and the resultant inconvenience, extra time and costs further reduces travel demand. Unlike previous short pandemics, business travel is likely to suffer with an extended decline until the pandemic is fully controlled. These identified challenges call for financial and operational support to help the aviation industry reach a sustainable “new normal”. The high value of time saved at check points also justifies investments that make the pandemic control and health measures efficient and smooth. Travellers’ time spent on airport health control should be within 20 min to avoid substantial negative impacts on business travel demand.

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  • Chen, Tiantian & Fu, Xiaowen & Hensher, David A. & Li, Zhi-Chun & Sze, N.N., 2022. "The effect of online meeting and health screening on business travel: A stated preference case study in Hong Kong," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    • Handle: RePEc:eee:transe:v:164:y:2022:i:c:s1366554522002101
    DOI: 10.1016/j.tre.2022.102823
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    as
    1. Milioti, Christina P. & Karlaftis, Matthew G. & Akkogiounoglou, Eleni, 2015. "Traveler perceptions and airline choice: A multivariate probit approach," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 46-52.
    2. Daniel E. Jonas & Louise B. Russell & Jon Chou & Michael Pignone, 2010. "Willingness‐to‐pay to avoid the time spent and discomfort associated with screening colonoscopy," Health Economics, John Wiley & Sons, Ltd., vol. 19(10), pages 1193-1211, October.
    3. Chung, Lap Hang, 2015. "Impact of pandemic control over airport economics: Reconciling public health with airport business through a streamlined approach in pandemic control," Journal of Air Transport Management, Elsevier, vol. 44, pages 42-53.
    4. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    7. Ho, Chinh Q. & Hensher, David A. & Mulley, Corinne & Wong, Yale Z., 2018. "Potential uptake and willingness-to-pay for Mobility as a Service (MaaS): A stated choice study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 302-318.
    8. Li, Siping & Zhou, Yaoming & Kundu, Tanmoy & Zhang, Fangni, 2021. "Impact of entry restriction policies on international air transport connectivity during COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    9. Tsui, Wai Hong Kan & Fu, Xiaowen & Yin, Chuanzhong & Zhang, Huaxin, 2021. "Hong Kong's aviation and tourism growth - An empirical investigation," Journal of Air Transport Management, Elsevier, vol. 93(C).
    10. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    11. Richard, Oliver, 2003. "Flight frequency and mergers in airline markets," International Journal of Industrial Organization, Elsevier, vol. 21(6), pages 907-922, June.
    12. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Environmental attitudes and emissions charging: An example of policy implications for vehicle choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 171-182.
    13. Wang, Kun & Gong, Qiang & Fu, Xiaowen & Fan, Xingli, 2014. "Frequency and aircraft size dynamics in a concentrated growth market: The case of the Chinese domestic market," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 50-58.
    14. Merkert, Rico & Beck, Matthew, 2017. "Value of travel time savings and willingness to pay for regional aviation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 29-42.
    15. William H. Greene & David A. Hensher, 2013. "Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model," Applied Economics, Taylor & Francis Journals, vol. 45(14), pages 1897-1902, May.
    16. Zhang, Yahua & Wang, Kun & Fu, Xiaowen, 2017. "Air transport services in regional Australia: Demand pattern, frequency choice and airport entry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 472-489.
    17. Graeber, Daniel & Schmidt-Petri, Christoph & Schröder, Carsten, 2021. "Attitudes on voluntary and mandatory vaccination against COVID-19: Evidence from Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 16(5), pages 1-18.
    18. Mouter, Niek & van Cranenburgh, Sander & van Wee, Bert, 2017. "Do individuals have different preferences as consumer and citizen? The trade-off between travel time and safety," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 333-349.
    19. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    20. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    21. Chiambaretto, Paul, 2021. "Air passengers’ willingness to pay for ancillary services on long-haul flights," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    22. Czerny, Achim I. & Fu, Xiaowen & Lei, Zheng & Oum, Tae H., 2021. "Post pandemic aviation market recovery: Experience and lessons from China," Journal of Air Transport Management, Elsevier, vol. 90(C).
    23. Balbontin, Camila & Hensher, David A. & Beck, Matthew J., 2022. "Advanced modelling of commuter choice model and work from home during COVID-19 restrictions in Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    24. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    25. Miller, Michael B., 2003. "The Business Trip: Maritime Networks in the Twentieth Century," Business History Review, Cambridge University Press, vol. 77(1), pages 1-32, April.
    26. Molin, Eric & Blangé, Joey & Cats, Oded & Chorus, Caspar, 2017. "Willingness to pay for safety improvements in passenger air travel," Journal of Air Transport Management, Elsevier, vol. 62(C), pages 165-175.
    27. Patil, Sunil & Patruni, Bhanu & Potoglou, Dimitris & Robinson, Neil, 2016. "Public preference for data privacy – A pan-European study on metro/train surveillance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 145-161.
    28. Anne Aguilera, 2008. "Business travel and mobile workers," Post-Print halshs-00489821, HAL.
    29. Aguilera, Anne, 2008. "Business travel and mobile workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(8), pages 1109-1116, October.
    30. Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    31. Paul Chiambaretto, 2021. "Air passengers’ willingness to pay for ancillary services on long-haul flights," Post-Print hal-03514785, HAL.
    32. Garrick Blalock & Vrinda Kadiyali & Daniel H. Simon, 2007. "The Impact of Post-9/11 Airport Security Measures on the Demand for Air Travel," Journal of Law and Economics, University of Chicago Press, vol. 50(4), pages 731-755.
    33. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    34. Gupta, Varun & Perera, Sandun, 2021. "Managing surges in online demand using bandwidth throttling: An optimal strategy amid the COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    35. Wen Hai & Zhong Zhao & Jian Wang & Zhen-Gang Hou, 2004. "The Short-Term Impact of SARS on the Chinese Economy," Asian Economic Papers, MIT Press, vol. 3(1), pages 57-61.
    36. Seetaram, Neelu & Song, Haiyan & Ye, Shun & Page, Stephen, 2018. "Estimating willingness to pay air passenger duty," Annals of Tourism Research, Elsevier, vol. 72(C), pages 85-97.
    37. Lamb, Tracy L. & Winter, Scott R. & Rice, Stephen & Ruskin, Keith J. & Vaughn, Austin, 2020. "Factors that predict passengers willingness to fly during and after the COVID-19 pandemic," Journal of Air Transport Management, Elsevier, vol. 89(C).
    38. Potoglou, Dimitris & Robinson, Neil & Kim, Chong W. & Burge, Peter & Warnes, Richard, 2010. "Quantifying individuals' trade-offs between privacy, liberty and security: The case of rail travel in UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(3), pages 169-181, March.
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