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High-Speed Rail in the US—Mode Choice Decision and Impact of COVID-19

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  • Jing Yu Pan

    (College of Aviation, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA)

Abstract

While high-speed rail (HSR) has achieved success in major cities in Europe and Asia, it is a new phenomenon in the US, and few studies on HSR in the US are available, especially from the users’ perspective. This study aims to fill the research gap by investigating the mode choice behavior in the Los Angeles and San Francisco corridor where HSR may soon become a feasible option. The impact of COVID-19 was also examined with regard to how people view modes of domestic travel and how their view may change. The geographic locations of travelers and the possible HSR characteristics in the US were also explored. Survey data of US travelers was collected on MTurk, which was analyzed using logistics regression and Two-Way MANOVA. The results indicated that convenience in transport, travel frequency, gender, mobility issues, income, and total travel time were determinants in the choice between HSR and air service, while travel frequency and total travel time were important in the choice between HSR and car transport. Most US travelers changed their views following COVID-19 in terms of domestic travel and exhibited a higher intention to travel by train and HSR. Geographic patterns were identified, such as people in the southern US were the most knowledgeable of HSR and had the greatest intention to use HSR, while people in the northeast exhibited the lowest intention. The findings indicate potential interest in HSR among US travelers, and offer much-needed empirical evidence for the potential success of HSR in the US.

Suggested Citation

  • Jing Yu Pan, 2024. "High-Speed Rail in the US—Mode Choice Decision and Impact of COVID-19," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4041-:d:1392898
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    References listed on IDEAS

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    1. 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.
    2. Cezar Morar & Alexandru Tiba & Biljana Basarin & Miroslav Vujičić & Aleksandar Valjarević & Liudmyla Niemets & Alena Gessert & Tamara Jovanovic & Marius Drugas & Vasile Grama & Marius Stupariu & Alina, 2021. "Predictors of Changes in Travel Behavior during the COVID-19 Pandemic: The Role of Tourists’ Personalities," IJERPH, MDPI, vol. 18(21), pages 1-19, October.
    3. Shuai Yu & Bin Li & Dongmei Liu, 2023. "Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing–Tianjin–Hebei Urban Agglomera," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
    4. Yi-Wen Kuo & Cheng-Hsien Hsieh & Cheng-Min Feng & Wen-Ya Yeh, 2013. "Effects of price promotions on potential consumers of high-speed rail," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(8), pages 722-738, December.
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