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The impact of fare and gasoline price changes on monthly transit ridership: Empirical evidence from seven U.S. transit authorities

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  • Wang, George H. K.
  • Skinner, David

Abstract

This paper presents eight empirical models of monthly ridership for seven U.S. Transit Authorities. Within the framework of these models, the impacts upon monthly ridership from changes in the real fare and gasoline prices are examined. Important findings are: (1) the elasticities of monthly transit ridership with respect to the real fare are negative and inelastic, ranging from 0.042 to 0.62; and (2) the elasticities of monthly transit ridership with respect to the real gasoline price are positive and inelastic, ranging from 0.08 to 0.80. Such results have important policy implications for decisions based on the relationships of price, revenue, and ridership; and for assessing the impacts of changing gasoline prices upon urban modal choice.

Suggested Citation

  • Wang, George H. K. & Skinner, David, 1984. "The impact of fare and gasoline price changes on monthly transit ridership: Empirical evidence from seven U.S. transit authorities," Transportation Research Part B: Methodological, Elsevier, vol. 18(1), pages 29-41, February.
  • Handle: RePEc:eee:transb:v:18:y:1984:i:1:p:29-41
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    Cited by:

    1. Fullerton, Thomas M. Jr & Walke, Adam G., 2012. "Border Zone Mass Transit Demand in Brownsville and Laredo," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(2), pages 1-18.
    2. Sheng, Mingyue & Sharp, Basil, 2019. "Aggregate road passenger travel demand in New Zealand: A seemingly unrelated regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 55-68.
    3. Lane, Bradley W., 2010. "The relationship between recent gasoline price fluctuations and transit ridership in major US cities," Journal of Transport Geography, Elsevier, vol. 18(2), pages 214-225.
    4. Xiaohong Chen & Xiang Wang & Hua Zhang & Jia Li, 2014. "The Diversity and Evolution Process of Bus System Performance in Chinese Cities: An Empirical Study," Sustainability, MDPI, Open Access Journal, vol. 6(11), pages 1-17, November.
    5. Carpenter, Rachel A., 2010. "Sacramento’s Fix I-5 Project: Impact on Bus Transit Ridership," Institute of Transportation Studies, Working Paper Series qt8mq0g9gw, Institute of Transportation Studies, UC Davis.
    6. Michaelides, Panayotis G. & Konstantakis, Konstantinos N. & Milioti, Christina & Karlaftis, Matthew G., 2015. "Modelling spillover effects of public transportation means: An intra-modal GVAR approach for Athens," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 1-18.
    7. Zhang, Dapeng & Wang, Xiaokun (Cara), 2014. "Transit ridership estimation with network Kriging: a case study of Second Avenue Subway, NYC," Journal of Transport Geography, Elsevier, vol. 41(C), pages 107-115.
    8. Lane, Bradley W., 2012. "A time-series analysis of gasoline prices and public transportation in US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 22(C), pages 221-235.
    9. Milioti, Christina P. & Karlaftis, Matthew G., 2014. "Estimating multimodal public transport mode shares in Athens, Greece," Journal of Transport Geography, Elsevier, vol. 34(C), pages 88-95.
    10. Chiang, Wen-Chyuan & Russell, Robert A. & Urban, Timothy L., 2011. "Forecasting ridership for a metropolitan transit authority," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 696-705, August.
    11. Bernal, Margarita & Welch, Eric W. & Sriraj, P.S., 2016. "The effect of slow zones on ridership: An analysis of the Chicago Transit Authority “El” Blue Line," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 11-21.
    12. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.

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