FACTORS IN THE RESUMPTION OF AIR TRAVEL SERVICES FOR THAI PASSENGERS DURING THE COVID-19 CRISIS
Keywords:
Travel Behavior, Covid-19 Crisis, Air Travel Resumption, Thai PassengerAbstract
The purposes of the study were to examine factors from the changes of travel behavior that influence the resumption of air travel services and assess the relationship of those factors in predicting the trend of air travel resumptions during the Covid-19 crisis. The study used an online questionnaire as an instrument to collect data from 322 Thai passengers. The sample was selected using quota sampling and used hierarchical multiple regression for analyzing and interpreting data.
The findings showed that the factors affecting the resumption of air travel services during the Covid-19 included the factors of passenger perceptions which consisted of the trust in government’s measures of Covid-19 protections toward airlines, perceive value of air travel, and satisfaction in technology. For the factors of self-supervision, it consisted of self-care ability and air travel frequency.
References
เจนจิรา นาทองค้า, และสุดาพร กุณฑลบุตร. (2561). อิทธิพลของปัจจัยทางการตลาดต่อความตั้งใจในการใช้บริการซ้ำของสายการบินต้นทุนต่ำ. วารสารมนุษยศาสตร์และสังคมศาสตร์ มหาวิทยาลัยราชพฤกษ์, 3(3), 50-61.
บริษัท ท่าอากาศยานไทย จำกัด (มหาชน). (2563). แผนวิสาหกิจของ ทอท. (ปีงบประมาณ 2560 - 2565) ฉบับทบทวน. http://www.oic.go.th/FILEWEB/CABINFOCENTER6/DRAWER007/GENERAL/DATA0000/00000119.PDF.
สำนักงานการบินพลเรือนแห่งประเทศไทย. (2564, 1 พฤษภาคม). รายงานสภาวะอุตสาหกรรมการบินของประเทศไทย พ.ศ. 2563. https://www.caat.or.th/th/archives/57599
สำนักงานปลัดกระทรวงการท่องเที่ยวและกีฬา. (2563). COVID-19 กับผลกระทบต่อการท่องเที่ยวไทย. Tourism Economic Review, 1(4), 1–68. https://www.mots.go.th/download/TourismEconomicReport/4-1TourismEconomicVol4.pdf
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Amaro, S., & Duarte, P. (2013). Online travel purchasing: A literature review. Journal of Travel and Tourism Marketing, 30(8), 755–785. https://doi.org/10.1080/10548408.2013.835227
Bandura, A. (1977). Social learning theory. Prentice-Hall.
Cahyanto, I., Wiblishauer, M., & Pennington-Gray, L. (2016). The dynamics of travel avoidance: The case of Ebola in the U.S. Tourism Management Perspectives, 20, 195–203. https://doi.org/10.1016/j.tmp.2016.09.004
Chaney, R. A., Bernard, L. A., & Wilson, A. R. B. (2013). Characterizing active transportation behavior among college students using the theory of planned behavior. International Quarterly of Community Health Education, 34(3), 283–294. https://doi.org/10.2190/IQ.34.3.f
Chen, C. F., & Wu, T. F. (2016). Exploring passenger preferences in airline service attributes: A note. Journal of Air Transport Management, 15(1), 52–53. https://doi.org/10.1016/j.jairtraman.2008.07.005
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erblaum Associates.
Conner, M., & Armitage, C. J. (1998). Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28(15), 1429–1464. https://doi.org/10.1111/j.1559-1816.1998.tb01685.x
De Vos, J. (2020). The effect of Covid-19 and subsequent social distancing on travel behavior. Transportation Research Interdisciplinary Perspectives, 5, Article 100121. https://doi.org/10.1016/j.trip.2020.100121
Dube, K., Nhamo, G., & Chikodzi, D. (2021). Covid-19 pandemic and prospects for recovery of the global aviation industry. Journal of Air Transport Management, 92(2), Article 102022. https://doi.org/10.1016/j.jairtraman.2021.102022
Escobar-Rodriguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low-cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88. https://doi.org/10.1016/j.tourman.2014.01.017
Han, H., Lee, S., & Lee, C. K. (2011). Extending the theory of planned behavior: Visa exemptions and the traveler decision-making process. Tourism Geographies, 13(1), 45–74. https://doi.org/10.1080/14616688.2010.529930
Huang, Y. K. (2010). The effect of airline service quality on passengers’ behavioral intentions using SERVQUAL scores: A Taiwan case study. Journal of the Eastern Asia Society for Transportation Studies, 8, 2330–2342. https://www.jstage.jst.go.jp/article/easts/8/0/8_0_2330/_pdf
International Air Transport Association (IATA). (2020). Aviation data & digital webinar series episode 4 (build resilience). https://www.iata.org/contentassets/8d3df7de4434482e9e831b5de5fcd1db/addws-s1e4-master-deck.pdf
International Civil Aviation Organization (ICAO). (2021a). Take-off: Guidance for air travel through the covid-19 public health crisis (3rd ed.). Author.
International Civil Aviation Organization (ICAO). (2021b). Effects of novel coronavirus (COVID-19) on civil aviation: Economic impact analysis. https://www.icao.int/sustainability/Documents/COVID-19/ICAO_Coronavirus_Econ_Impact.pdf
Kim, C., Cheon, H. S., Choi, K., Joh, H. C., & Lee, J. H. (2017). Exposure to fear: Changes in travel behavior during MERS outbreak in Seoul. Journal of Civil Engineering, 21, 2888–2895. https://doi.org/10.1007/s12205-017-0821-5
Kline, B. R. (2005). Principles and practice of structural equation modelling (2nd ed.). Le Jacq.
Lien, C. H., Hsu, M. K., Shang, J. Z., & Wang, S. W. (2019). Self-service technology adoption by air passengers: A case study of fast air travel services in Taiwan. The Service Industries Journal, 41(9-10), 1–25. https://doi.org/10.1080/02642069.2019.1569634
Lin, T. T., & Bautista, J. R. (2016). Predicting intention to take protective measures during haze: The roles of efficacy, threat, media trust, and affective attitude. Journal of Health Communication, 21(7), 790–799. https://doi.org/10.1080/10810730.2016.1157657
Lowrey, W. (2004). Media dependency during a large-scale social disruption: The case of September 11. Mass Communication & Society, 7(3), 339–357. https://doi.org/10.1207/s15327825mcs0703_5
Mohammed, M. J. A., Boshra, A. A., Fahmi, H. F., & Nabil, S. S. S. (2021). Risk perceptions of Covid-19 and its impact on precautionary behavior: A qualitative study. Patient Education and Counseling, 104(8), 1860–1867. https://www.sciencedirect.com/science/article/pii/S0738399121001233
Negara, D. J., Ferdinand, F., Meitiana, M., Astuti, M. H., Anden, T., Sarlawa, R., & Mahrita, A. (2021). Knowledge sharing behavior in Indonesia: An application of planned behavior theory. Journal of Asian Finance, Economics, and Business, 8(3), 1053–1064. https://doi.org/10.13106/jafeb.2021.vol8.no3.1053
Park, J. W., Robertson, R., & Wu, C. L. (2006). Modelling the impact of airline service quality and behavioural intentions. Transportation Planning and Technology, 29(5), 359–381. https://doi.org/10.1080/03081060600917686
Peric, G., Dramicanin, S., & Conic, M. (2021). The impact of Serbian tourists’ risk perception on their travel intentions during the Covid-19 pandemic. European Journal of Tourism Research, 27(1), 1-22. https://doi.org/10.54055/ejtr.v27i.2125
Polat, I., Erdogan, D., & Sesliokuyucu, S. (2020). Airline passengers’ travel intention in the Covid-19 era. International Applied Social Sciences Congress In IV. International Applied Social Sciences Congress (pp. 602–612). International Applied Social Sciences Congress. http://openaccess.kavram.edu.tr/xmlui/bitstream/handle/20.500.12569/528/602-612.pdf?sequence=1&isAllowed=y
Saha, G. C., & Theingi, T. (2009). Service quality, satisfaction, and behavioural intentions: A study of low-cost airline carriers in Thailand. Managing Service Quality: An International Journal, 19(3), 350–372. https://doi.org/10.1108/09604520910955348
Schniederjans, D. G., & Starkey, C. M. (2014). Intention and willingness to pay for green transportation: An empirical examination. Transportation Research Part D: Transport and Environment, 31, 116–125. https://doi.org/10.1016/j.trd.2014.05.024
Serrano, F., & Kazda, A. (2020). The future of airport post covid-19. Journal of Air Transport Management, 89, Article 101900. https://doi.org/10.1016/j.jairtraman.2020.101900
Shamshiripour, A., Rahimi, E., Shabanpour, R., & Mohammadian, K. A. (2020). How is Covid-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago. Transportation Research Interdisciplinary Perspectives. 7, Article 100216. https://doi.org/10.1016/j.trip.2020.100216
Sobieralski, B. J. (2020). Covid-19 and airline employment: Insights from historical uncertainty shocks to the industry. Transportation Research Interdisciplinary Perspectives, 5, Article 100123. https://doi.org/10.1016/j.trip.2020.100123
Sohn, H. K., Lee, T. J., & Yoon, Y. S. (2016). Relationship between perceived risk, evaluation, satisfaction, and behavioral intention: A case of local-festival visitors. Journal of Travel and Tourism Marketing, 33(1), 28–45. https://doi.org/10.1080/10548408.2015.1024912
Song, K. H., & Choi, S. (2020). A study on the behavioral change of passengers on sustainable air transport after covid-19. Sustainability (Switzerland), 12(21), Article 9207. https://doi.org/10.3390/su12219207
United Nations World Tourism Organization. (2020, May 31). Restrictions on tourism travel starting to ease but caution remains. https://www.unwto.org/news/COVID-19-restrictions-on-tourism-travel.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
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