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Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia

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  • Zhou, Heng
  • Norman, Richard
  • Xia, Jianhong(Cecilia)
  • Hughes, Brett
  • Kelobonye, Keone
  • Nikolova, Gabi
  • Falkmer, Torbjorn

Abstract

This paper investigates travel mode and airline choice using stated-preference data. Both air and non-air passengers’ data were collected in Western Australia, which allows easier generalisability of the findings to a wider population. A market segmentation approach, using latent class modelling, was applied to identify passenger segments. The results shown a significant difference between identified segments in terms of demographics, economics and trip characteristics. One segment, comprising travellers with higher income and more frequent business travellers, was sensitive to service-factors. The other, comprising personal travellers with lower incomes, placed higher sensitivity on price. The findings highlight the importance of understanding mode choice behaviour based on market segmentation and provides insights to policy-makers and airlines for developing more effective polices and strategies.

Suggested Citation

  • Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    • Handle: RePEc:eee:transa:v:137:y:2020:i:c:p:187-205
    DOI: 10.1016/j.tra.2020.04.020
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    as
    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. 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.
    3. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    4. Teichert, Thorsten & Shehu, Edlira & von Wartburg, Iwan, 2008. "Customer segmentation revisited: The case of the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 227-242, January.
    5. Bliemer, Michiel C.J. & Collins, Andrew T., 2016. "On determining priors for the generation of efficient stated choice experimental designs," Journal of choice modelling, Elsevier, vol. 21(C), pages 10-14.
    6. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    7. Román, Concepción & Espino, Raquel & Martín, Juan Carlos, 2007. "Competition of high-speed train with air transport: The case of Madrid–Barcelona," Journal of Air Transport Management, Elsevier, vol. 13(5), pages 277-284.
    8. Proussaloglou, Kimon & Koppelman, Frank S., 1999. "The choice of air carrier, flight, and fare class," Journal of Air Transport Management, Elsevier, vol. 5(4), pages 193-201.
    9. Bliemer, Michiel C.J. & Rose, John M. & Hensher, David A., 2009. "Efficient stated choice experiments for estimating nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 19-35, January.
    10. Espino, Raquel & Martín, Juan Carlos & Román, Concepción, 2008. "Analyzing the effect of preference heterogeneity on willingness to pay for improving service quality in an airline choice context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(4), pages 593-606, July.
    11. 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.
    12. Hess, Stephane & Adler, Thomas & Polak, John W., 2007. "Modelling airport and airline choice behaviour with the use of stated preference survey data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(3), pages 221-233, May.
    13. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7nq9p0cv, University of California Transportation Center.
    14. Stephane Hess & John W. Polak, 2006. "Airport, airline and access mode choice in the San Francisco Bay area," Papers in Regional Science, Wiley Blackwell, vol. 85(4), pages 543-567, November.
    15. Jung, Se-Yeon & Yoo, Kwang-Eui, 2014. "Passenger airline choice behavior for domestic short-haul travel in South Korea," Journal of Air Transport Management, Elsevier, vol. 38(C), pages 43-47.
    16. 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.
    17. Jiang, Changmin & Zhang, Anming, 2016. "Airline network choice and market coverage under high-speed rail competition," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 248-260.
    18. Vij, Akshay, 2013. "Incorporating the Influence of Latent Modal Preferences in Travel Demand Models," University of California Transportation Center, Working Papers qt7ng2z24q, University of California Transportation Center.
    19. Eric Ruto & Guy Garrod & Riccardo Scarpa, 2008. "Valuing animal genetic resources: a choice modeling application to indigenous cattle in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 89-98, January.
    20. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    21. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    22. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    23. Inoue, Gaku & Ono, Masahiro & Uehara, Keita & Isono, Fumiaki, 2015. "Stated-preference analysis to estimate the domestic transport demand following the future entry of LCCs and the inauguration of the Linear Chuo Shinkansen in Japan," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 199-217.
    24. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    25. Wen, Chieh-Hua & Wang, Wei-Chung & Fu, Chiang, 2012. "Latent class nested logit model for analyzing high-speed rail access mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 545-554.
    26. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    27. Jovicic, Goran & Hansen, Christian Overgaard, 2003. "A passenger travel demand model for Copenhagen," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 333-349, May.
    28. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    29. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    30. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    31. Kenneth Train, 1980. "A Structured Logit Model of Auto Ownership and Mode Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(2), pages 357-370.
    32. Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.
    33. 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.
    34. 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.
    35. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    36. Seelhorst, Michael & Liu, Yi, 2015. "Latent air travel preferences: Understanding the role of frequent flyer programs on itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 49-61.
    37. Can, Vo Van, 2013. "Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 149-159.
    38. Wen, Chieh-Hua & Lai, Shan-Ching, 2010. "Latent class models of international air carrier choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(2), pages 211-221, March.
    39. 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.
    40. Yuanqing Wang & Lei Li & Li Wang & Adrian Moore & Samuel Staley & Zongzhi Li, 2014. "Modeling traveler mode choice behavior of a new high-speed rail corridor in China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(5), pages 466-483, July.
    41. Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
    42. Greene, William & Harris, Mark N. & Hollingsworth, Bruce & Maitra, Pushkar, 2014. "A latent class model for obesity," Economics Letters, Elsevier, vol. 123(1), pages 1-5.
    43. Pengpeng Jiao & Meiqi Liu & Jin Guo, 2015. "Integrated Model of Joint Residence-Workplace Location Choice and Commute Behavior Using Latent Class and Mixed Logit Methods," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-9, April.
    44. Chen, Hsi-Tien & Chao, Ching-Cheng, 2015. "Airline choice by passengers from Taiwan and China: A case study of outgoing passengers from Kaohsiung International Airport," Journal of Air Transport Management, Elsevier, vol. 49(C), pages 53-63.
    45. Boxall, Peter C. & Adamowicz, Wiktor L., 1999. "Understanding Heterogeneous Preferences in Random Utility Models: The Use of Latent Class Analysis," Staff Paper Series 24090, University of Alberta, Department of Resource Economics and Environmental Sociology.
    46. D’Alfonso, Tiziana & Jiang, Changmin & Bracaglia, Valentina, 2015. "Would competition between air transport and high-speed rail benefit environment and social welfare?," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 118-137.
    47. Chandra R. Bhat, 1997. "An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel," Transportation Science, INFORMS, vol. 31(1), pages 34-48, February.
    48. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2000. "Airport and Airline Competition for Passengers Departing from a Large Metropolitan Area," Journal of Urban Economics, Elsevier, vol. 48(1), pages 29-45, July.
    49. Vij, Akshay & Carrel, André & Walker, Joan L., 2013. "Incorporating the influence of latent modal preferences on travel mode choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 164-178.
    50. Zhou, Heng & Xia, Jianhong & Norman, Richard & Hughes, Brett & Nikolova, Gabi & Kelobonye, Keone & Du, Kai & Falkmer, Torbjorn, 2019. "Do air passengers behave differently to other regional travellers?: A travel mode choice model investigation," Journal of Air Transport Management, Elsevier, vol. 79(C), pages 1-1.
    51. Hess, Stephane & Polak, John W., 2006. "Exploring the potential for cross-nesting structures in airport-choice analysis: A case-study of the Greater London area," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(2), pages 63-81, March.
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