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Predicting the impact of Trans Java Toll Roads on demand for intercity air travel in Indonesia

Author

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  • Irawan, Muhammad Zudhy
  • Simanjuntak, Nurvita I.M.
  • Bastarianto, Faza Fawzan
  • Dwitasari, Reslyana
  • Herawati,

Abstract

This paper aims to explore the factors influencing a potential air passenger shift to autos due to the completion of the Trans Java Toll Road and an increase in airfares. The study focuses on intercity trips for nonbusiness purposes. A face-to-face interview survey of 751 air passengers was conducted in three main airports on Java Island, Indonesia. Both the theory of planned behavior and the discrete choice model were applied to understand the factors for influencing toll road use among air passengers. The empirical results reveal that psychological factors, consisting of attitudes, subjective norms, and perceived moral obligations significantly influenced intentions to use the toll road. Meanwhile, perceived control of external resources was essential for airline passengers in their intention to use toll roads. Sociodemographic factors such as age, gender, income, frequency of airplane use, travel time, and cost also significantly influenced the decision to drive. Female, older passengers, high-income passengers, and frequent flyers were more likely to continue flying. The finding confirms that the Trans Java Toll Road affected a decline in air demand on Java Island. However, traveling with family members, rather than airfare hikes, became a more substantial reason for air passengers to switch to driving the toll roads. This research found that air passengers were inelastic related to changes in travel time, while 6% were willing to switch due to airfare increases of 10%.

Suggested Citation

  • Irawan, Muhammad Zudhy & Simanjuntak, Nurvita I.M. & Bastarianto, Faza Fawzan & Dwitasari, Reslyana & Herawati,, 2020. "Predicting the impact of Trans Java Toll Roads on demand for intercity air travel in Indonesia," Journal of Air Transport Management, Elsevier, vol. 87(C).
    • Handle: RePEc:eee:jaitra:v:87:y:2020:i:c:s0969699720301551
    DOI: 10.1016/j.jairtraman.2020.101848
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    as
    1. Lee, Joon-Kyu & Yoo, Kwang-Eui & Song, Ki-Han, 2016. "A study on travelers' transport mode choice behavior using the mixed logit model: A case study of the Seoul-Jeju route," Journal of Air Transport Management, Elsevier, vol. 56(PB), pages 131-137.
    2. Wan, Yulai & Ha, Hun-Koo & Yoshida, Yuichiro & Zhang, Anming, 2016. "Airlines’ reaction to high-speed rail entries: Empirical study of the Northeast Asian market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 532-557.
    3. Buaphiban, Thapanat & Truong, Dothang, 2017. "Evaluation of passengers' buying behaviors toward low cost carriers in Southeast Asia," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 124-133.
    4. Xiaomei Lin & Yusak O. Susilo & Chunfu Shao & Chengxi Liu, 2018. "The Implication of Road Toll Discount for Mode Choice: Intercity Travel during the Chinese Spring Festival Holiday," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    5. Benedikt Mandel & Marc Gaudry & Werner Rothengatter, 1997. "A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 99-120.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A.Abdulasalm & Rahmat, Riza Atiq O.K. & Alhodairi, Ahmed Mohamed, 2017. "Predicting car drivers’ intention to use low cost airlines for intercity travel in Libya," Journal of Air Transport Management, Elsevier, vol. 65(C), pages 88-98.
    8. Balcombe, Kelvin & Fraser, Iain & Harris, Liam, 2009. "Consumer willingness to pay for in-flight service and comfort levels: A choice experiment," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 221-226.
    9. Vieira, José & Câmara, Gualter & Silva, Francisco & Santos, Carlos, 2019. "Airline choice and tourism growth in the Azores," Journal of Air Transport Management, Elsevier, vol. 77(C), pages 1-6.
    10. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2003. "Access to and competition between airports: a case study for the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 71-83, January.
    11. Pan, Jing Yu & Truong, Dothang, 2018. "Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 38-48.
    12. Choi, Jong Hae & Wang, Kun & Xia, Wenyi & Zhang, Anming, 2019. "Determining factors of air passengers’ transfer airport choice in the Southeast Asia – North America market: Managerial and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 203-216.
    13. Faza Fawzan Bastarianto & Muhammad Zudhy Irawan & Charisma Choudhury & David Palma & Imam Muthohar, 2019. "A Tour-Based Mode Choice Model for Commuters in Indonesia," Sustainability, MDPI, vol. 11(3), pages 1-20, February.
    14. Wang, Kun & Xia, Wenyi & Zhang, Anming & Zhang, Qiong, 2018. "Effects of train speed on airline demand and price: Theory and empirical evidence from a natural experiment," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 99-130.
    15. Lee, Joon-Kyu & Kim, Sang Hyun & Sim, Ga Ram, 2019. "Mode choice behavior analysis of air transport on the introduction of remotely piloted passenger aircraft," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 48-55.
    16. Chang, Li-Yen & Sun, Pei-Yu, 2012. "Stated-choice analysis of willingness to pay for low cost carrier services," Journal of Air Transport Management, Elsevier, vol. 20(C), pages 15-17.
    17. Hess, Stephane & Spitz, Greg & Bradley, Mark & Coogan, Matt, 2018. "Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 547-567.
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