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All aboard? An analysis of public opinion regarding high‐speed rail

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  • Sara Johnson
  • Euel Elliott

Abstract

Objective High‐speed rail is not well utilized in the United States. This study examines public interest in high‐speed rail and the role the apparent urban–rural political divide may play in its establishment. Methods Data from a sample of 1648 U.S. residents and 515 Texas residents surveyed in Fall 2020 and Spring 2021 were analyzed to determine their likelihood of choosing high‐speed rail if it was available. Results Results found that 35 percent of national respondents and 52 percent of Texas respondents indicated they are likely to choose high‐speed rail. Characteristics such as age, education, gender, and political party affiliation had a statistically significant relationship with a respondent's likelihood of choosing high‐speed rail. Conclusion This analysis indicates an interest in high‐speed rail in both samples. Many of the characteristics of those likely to choose high‐speed rail are consistent with typical early adopters of innovation. Democrats seem more likely to consider high‐speed rail, however identifying as either a Republican or a Democrat resulted in a positive, statistically significant relationship with an interest in high‐speed rail in the Texas sample. While this discussion does appear to have a partisan divide, other characteristics seem to be a strong predictor of interest in high‐speed rail.

Suggested Citation

  • Sara Johnson & Euel Elliott, 2024. "All aboard? An analysis of public opinion regarding high‐speed rail," Social Science Quarterly, Southwestern Social Science Association, vol. 105(3), pages 894-905, May.
  • Handle: RePEc:bla:socsci:v:105:y:2024:i:3:p:894-905
    DOI: 10.1111/ssqu.13363
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    1. Jenks, Leland H., 1944. "Railroads as an Economic Force in American Development1," The Journal of Economic History, Cambridge University Press, vol. 4(1), pages 1-20, May.
    2. Michael Minn, 2013. "The Political Economy of High Speed Rail in the United States," Mobilities, Taylor & Francis Journals, vol. 8(2), pages 185-200, May.
    3. Chikaraishi, Makoto & Khan, Diana & Yasuda, Banri & Fujiwara, Akimasa, 2020. "Risk perception and social acceptability of autonomous vehicles: A case study in Hiroshima, Japan," Transport Policy, Elsevier, vol. 98(C), pages 105-115.
    4. Gregg Culver, 2016. "Moving Forward or Taking a Stand? Discourses Surrounding the Politics of Wisconsin High-speed Rail," Mobilities, Taylor & Francis Journals, vol. 11(5), pages 703-722, October.
    5. Yasasvi Popuri & Kimon Proussaloglou & Cemal Ayvalik & Frank Koppelman & Aimee Lee, 2011. "Importance of traveler attitudes in the choice of public transportation to work: findings from the Regional Transportation Authority Attitudinal Survey," Transportation, Springer, vol. 38(4), pages 643-661, July.
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