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Exploring intercity passengers’ attitudes and loyalty to intercity passenger rail: Evidence from an on-board survey

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  • Losada-Rojas, Lisa Lorena
  • Gkartzonikas, Christos
  • Pyrialakou, V. Dimitra
  • Gkritza, Konstantina

Abstract

The journey to access a passenger rail station has been found to be an important factor in determining whether passengers choose rail as a transport mode alternative. Along with access to rail services, several factors make a transportation system more competitive and appealing to passengers and can influence users' loyalty to the service, such as fare level, service frequency, the quality of the waiting environment, and in-vehicle amenities. However, intercity passengers' attitudes and intentions to travel by rail are not fully understood to date. This paper explores loyalty to intercity passenger rail by i) assessing intercity passengers' attitudes towards intercity rail and other transportation modes for intercity travel through the use of a multi-attribute attitude model and ii) modeling passengers' intention to ride the train in the short and long terms through the use of a bivariate ordered probit model. The proposed methodology is demonstrated in the context of an intercity rail service in the Midwest using data from an on-board survey. The findings of this study suggest that attitudes towards transportation modes for intercity trips can vary by level of access to a rail line. For example, intercity train was found to be the most favorable mode for riders who traveled less than two miles to access a station. Furthermore, available parking facilities near the train stations and on-board amenities, such as space for storing luggage and the availability of bike-cars and other services, can positively affect riders’ intention to use the train. It was also found that specific population groups, such as captive riders and riders who drive less than 100 miles per week, were more likely to ride the train in the future. The results of this study can help intercity rail operators identify the aspects of rail service that can be enhanced to attract more ridership and maximize customer retention.

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  • Losada-Rojas, Lisa Lorena & Gkartzonikas, Christos & Pyrialakou, V. Dimitra & Gkritza, Konstantina, 2019. "Exploring intercity passengers’ attitudes and loyalty to intercity passenger rail: Evidence from an on-board survey," Transport Policy, Elsevier, vol. 73(C), pages 71-83.
    • Handle: RePEc:eee:trapol:v:73:y:2019:i:c:p:71-83
    DOI: 10.1016/j.tranpol.2018.10.011
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    1. Beck, Matthew J. & Rose, John M., 2016. "The best of times and the worst of times: A new best–worst measure of attitudes toward public transport experiences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 108-123.
    2. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    3. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    4. Eboli, Laura & Mazzulla, Gabriella, 2011. "A methodology for evaluating transit service quality based on subjective and objective measures from the passenger's point of view," Transport Policy, Elsevier, vol. 18(1), pages 172-181, January.
    5. Carreira, Rui & Patrício, Lia & Natal Jorge, Renato & Magee, Chris, 2014. "Understanding the travel experience and its impact on attitudes, emotions and loyalty towards the transportation provider–A quantitative study with mid-distance bus trips," Transport Policy, Elsevier, vol. 31(C), pages 35-46.
    6. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    7. Wardman, Mark, 2006. "Demand for rail travel and the effects of external factors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(3), pages 129-148, May.
    8. Lai, Wen-Tai & Chen, Ching-Fu, 2011. "Behavioral intentions of public transit passengers--The roles of service quality, perceived value, satisfaction and involvement," Transport Policy, Elsevier, vol. 18(2), pages 318-325, March.
    9. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521142373.
    10. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204.
    11. Kroesen, Maarten & Handy, Susan & Chorus, Caspar, 2017. "Do attitudes cause behavior or vice versa? An alternative conceptualization of the attitude-behavior relationship in travel behavior modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 190-202.
    12. Tilahun, Nebiyou & Thakuriah, Piyushimita (Vonu) & Li, Moyin & Keita, Yaye, 2016. "Transit use and the work commute: Analyzing the role of last mile issues," Journal of Transport Geography, Elsevier, vol. 54(C), pages 359-368.
    13. Harvey, Joan & Thorpe, Neil & Caygill, Matthew & Namdeo, Anil, 2014. "Public attitudes to and perceptions of high speed rail in the UK," Transport Policy, Elsevier, vol. 36(C), pages 70-78.
    14. Brown, Dennis, 1997. "When Rural Communities Lose Passenger Rail Service," Rural America/ Rural Development Perspectives, United States Department of Agriculture, Economic Research Service, vol. 12(2), February.
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    7. Ting Wang & Yong Zhang & Meiye Li & Lei Liu, 2019. "How Do Passengers with Different Using Frequencies Choose between Traditional Taxi Service and Online Car-Hailing Service? A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(23), pages 1-18, November.

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