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Elasticities of Passenger Transport Demand on US Intercity Routes: Impact on Public Policies for Sustainability

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  • Ignacio Escañuela Romana

    (Departamento de Métodos Cuantitativos, Universidad Loyola Andalucía, Avda. de las Universidades s/n, Dos Hermanas, 41704 Sevilla, Spain)

  • Mercedes Torres-Jiménez

    (Departamento de Métodos Cuantitativos, Universidad Loyola Andalucía, Avda. de las Universidades s/n, Dos Hermanas, 41704 Sevilla, Spain)

  • Mariano Carbonero-Ruz

    (Departamento de Métodos Cuantitativos, Universidad Loyola Andalucía, Avda. de las Universidades s/n, Dos Hermanas, 41704 Sevilla, Spain)

Abstract

Passenger transport is a key sector of the economy, and its sustainability depends on achieving the greatest possible efficiency, avoiding problems of congestion or underuse of infrastructures, and reducing the sector’s environmental impact. Knowing the elasticities of demand is critical to achieving these objectives, estimating the intensity of transport demand, and predicting the effect of different policies on reducing greenhouse gas emissions. This research proposes a relatively simple model for estimating and predicting the elasticity of demand for different modes of transport at the route level. This model could be used by companies and public management to obtain a vision of the different analysed routes and the pressure of their demand, as well as a relative perspective of each of them. Such a model is used to estimate the price and income demand elasticities of passenger transport modes in domestic routes in the United States (2003–2019), where there is competition between road, rail, and air transport. Series of passenger numbers, fares, and budget shares are reconstructed from the available data. A Rotterdam demand model (RDM) is estimated using a seemingly unrelated regression method (SUR). The estimated income elasticities imply that demand for road transport increases somewhat more proportionally than the increase in income, somewhat less than proportionally for air transport, and with very low proportionality for rail transport. This indicates the need to target investment and service improvement efforts, as well as technological solutions, according to this difference in demand pressures. Finally, the demand response of the three modes of transport to price increases is inelastic, and there is little or no pass-through from one mode to another. This implies that fiscal or carbon pricing actions could have a very limited impact and high social costs. Again, strategies based on investments in technological progress, infrastructure development, and normative interventions could be more effective.

Suggested Citation

  • Ignacio Escañuela Romana & Mercedes Torres-Jiménez & Mariano Carbonero-Ruz, 2023. "Elasticities of Passenger Transport Demand on US Intercity Routes: Impact on Public Policies for Sustainability," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:14036-:d:1245119
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    1. Nakamura, Kazuki & Hayashi, Yoshitsugu, 2013. "Strategies and instruments for low-carbon urban transport: An international review on trends and effects," Transport Policy, Elsevier, vol. 29(C), pages 264-274.
    2. BARTEN, Anton P., 1977. "The systems of consumer demand functions approach: A review," LIDAM Reprints CORE 284, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Clements, Kenneth W & Johnson, Lester W, 1983. "The Demand for Beer, Wine, and Spirits: A Systemwide Analysis," The Journal of Business, University of Chicago Press, vol. 56(3), pages 273-304, July.
    4. Youzhi Zeng & Bin Ran & Ning Zhang & Xiaobao Yang, 2021. "Estimating the Price Elasticity of Train Travel Demand and Its Variation Rules and Application in Energy Used and CO 2 Emissions," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    5. Gelhausen, Marc C. & Berster, Peter & Wilken, Dieter, 2013. "Do airport capacity constraints have a serious impact on the future development of air traffic?," Journal of Air Transport Management, Elsevier, vol. 28(C), pages 3-13.
    6. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    7. Tae H. Oum & Waters, W.G. & Jong Say Yong, 1990. "A survey of recent estimates of price elasticities of demand for transport," Policy Research Working Paper Series 359, The World Bank.
    8. 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.
    9. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    10. Henningsen, Arne & Hamann, Jeff D., 2007. "systemfit: A Package for Estimating Systems of Simultaneous Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i04).
    11. Paulley, Neil & Balcombe, Richard & Mackett, Roger & Titheridge, Helena & Preston, John & Wardman, Mark & Shires, Jeremy & White, Peter, 2006. "The demand for public transport: The effects of fares, quality of service, income and car ownership," Transport Policy, Elsevier, vol. 13(4), pages 295-306, July.
    12. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    13. Barten, Anton P, 1977. "The Systems of Consumer Demand Functions Approach: A Review," Econometrica, Econometric Society, vol. 45(1), pages 23-51, January.
    14. William A. Barnett, 1979. "Theoretical Foundations for the Rotterdam Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 46(1), pages 109-130.
    15. David L. Edgerton, 1997. "Weak Separability and the Estimation of Elasticities in Multistage Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 62-79.
    16. Yoshihara, Kunio, 1969. "Demand Functions: An Application to the Japanese Expenditure Pattern," Econometrica, Econometric Society, vol. 37(2), pages 257-274, April.
    17. Alessandro Severino & Larysa Martseniuk & Salvatore Curto & Larysa Neduzha, 2021. "Routes Planning Models for Railway Transport Systems in Relation to Passengers’ Demand," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    18. Small, K. & Winston, C., 1998. ""The Demand for Transportation: Models and Applications"," Papers 98-99-6, California Irvine - School of Social Sciences.
    19. Wissam Qassim Al-Salih & Domokos Esztergár-Kiss, 2021. "Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    20. Yunyi Li & Minhua Shao & Lijun Sun & Xinmiao Wang & Shizhao Song, 2023. "Research on Demand Price Elasticity Based on Expressway ETC Data: A Case Study of Shanghai, China," Sustainability, MDPI, vol. 15(5), pages 1-11, March.
    21. Davis, Lucas W., 2021. "Estimating the price elasticity of demand for subways: Evidence from Mexico," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    22. Albert Wijeweera & Michael Charles, 2013. "An Empirical Analysis of the Determinants of Passenger Rail Demand in Melbourne, Australia," Economic Analysis and Policy, Elsevier, vol. 43(3), pages 249-264, December.
    23. William A. Barnett & Ousmane Seck, 2008. "Rotterdam model versus almost ideal demand system: will the best specification please stand up?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 795-824.
    24. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    25. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, January.
    26. Selvanathan, E. A. & Selvanathan, Saroja, 1994. "The demand for transport and communication in the United Kingdom and Australia," Transportation Research Part B: Methodological, Elsevier, vol. 28(1), pages 1-9, February.
    27. Chi, Junwook & Baek, Jungho, 2012. "A dynamic demand analysis of the United States air-passenger service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 755-761.
    28. Wijeweera, Albert & Charles, Michael B., 2013. "Determinants Of Passenger Rail Demand In Perth, Australia: A Time Series Analysis," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 217-230.
    29. Ignacio, Escañuela Romana, 2019. "The elasticities of passenger transport demand in the Northeast Corridor," Research in Transportation Economics, Elsevier, vol. 78(C).
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