Skip to main content
Log in

Impacts of Alternative Toll-Fee Structures on Highway Use

  • Published:
Applied Spatial Analysis and Policy Aims and scope Submit manuscript

Abstract

Challenges against the toll-fee system in South Korea emphasize the need for research that informs decisions regarding the conversion of toll-fee to toll-free highways. A cost-benefit analysis of reduced toll fees is performed based on a highway usage model. The model predicted traffic linked to South Korea’s Kyungbu Highway would increase by as much as 42 % if the toll fee were removed. Increased highway usage, induced by removing distance-related toll fees, is estimated to increase consumer welfare by $76 million. The increased traffic also produces negative extenalities estimated to cost $155 million, resulting in net losses of $79 million. The estimated net losses provide a critical public-welfare perspective for answering the question about whether to lower the toll fee on the Kyungbu Highway in South Korea.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. The Korea Expressway Corporation is a government-owned company that constructs and manages inter-city highways and manages toll fees for the entire highway system.

  2. The Toll-road Act of 2009 was established to improve the welfare of highway users and to support the nation’s economic development. The toll fee is imposed on users of newly constructed and renovated roadways including highways, roadways used for mainly touring purposes, and roadways connecting islands.

  3. Of the four highways (i.e., Kyungbu, Kyungin, Namhae the 2nd, and Ulsan Highways) where toll-fee revenues exceed construction and maintenance costs, the Kyungbu Highway was selected for a case study because it connects the two largest cities in South Korea (Seoul and Busan) and has greater usage than the other highways. In addition, the Kyungbu Highway is viewed as pivotal in launching economic development in South Korea by shortening travel time and distance between producers and consumers, and by improving transportation logistics to facilitate exports (Park 2010).

  4. We particularly thank an anonymous referee for bringing this literature to the authors’ attention.

  5. An average exchange rate in 2009 of 1,277.42 KRW/U.S. Dollar was used.

  6. Of the 3,153 intervals, 472 intervals include zero traffic volumes in our dataset.

  7. Wooldridge (2002) and Cameron and Trivedi (1986) called this model the Negative Binomial Model II (NB II). In Stata, this model is defined as the Mean Dispersion Model (StataCorp 2013).

  8. We particularly thank an anonymous referee for bringing this issue to the authors’ attention.

References

  • Anderson, J. E. (1979). A theoretical foundation for the gravity equation. The American Economic Review, 69, 106–116.

    Google Scholar 

  • Anderson, T. W. (1951). Estimating linear restrictions on regression coefficients for multivariate normal distributions. The Annals of Mathematical Statistics, 22, 327–351.

    Article  Google Scholar 

  • Buehler, R., & Pucher, J. (2011). Making public transport financially sustainable. Transport Policy, 18(1), 126–138.

    Article  Google Scholar 

  • Cameron, C., & Trivedi, P. K. (1986). Econometric models based on count data: comparisons and applications of some estimators. Journal of Applied Econometrics, 1, 29–53.

    Article  Google Scholar 

  • Carter, A. P., & Petri, P. A. (1989). Leontief’s contribution to economics. Journal of Policy Modeling, 11, 7–30.

    Article  Google Scholar 

  • Cho, S. (2013). Social experiment of conversion of toll-fee highways to toll-free highways in Japan: Trends and outlook after northeast earthquakes in Japan. Korea Expressway Corporation Research Institute.

  • D’agostino, R. B., Belanger, A., & D’Agostino, R. B., Jr. (1990). A suggestion for using powerful and informative tests of normality. The American Statistician, 44, 316–321.

    Google Scholar 

  • Danna, S., Mori, K., Vela, J., & Ward, M. (2012). A benefit-cost analysis of road pricing in Downtown Seattle. Evans School Review, 2, 26–46.

    Article  Google Scholar 

  • Dennis, S. (2009). Using pricing to reduce traffic congestion.

  • Eichengreen, B., & Irwin, D. A. (1995). Trade blocs, currency blocs and the reorientation of World Trade in the 1930s. Journal of International Economics, 38, 1–24.

    Article  Google Scholar 

  • Eichengreen, B., & Irwin, D. A. (1998). The role of history in bilateral trade flows. Chicago: University of Chicago Press.

    Google Scholar 

  • Eliasson, J. (2008). Lessons from the Stockholm congestion charging trial. Transport Policy, 15, 395–404.

    Article  Google Scholar 

  • Erlander, S., & Stewart, N. F. (1990). The gravity model in transportation analysis: Theory and extensions. Utrecht: VSP.

    Google Scholar 

  • Fang, S. C., & Tsao, H. S. (1995). Linearly-constrained entropy maximization problem with quadratic cost and its applications to transportation planning problems. Transportation Science, 29, 353–365.

    Article  Google Scholar 

  • Felbermayr, G. J., & Kohler, W. (2006). Exploring the intensive and extensive margins of World Trade. Review of World Economics, 142, 642–674.

    Article  Google Scholar 

  • Figliozzi, M. A., & Bigazzi, A. (2012). Value of travel time reliability part II: A study of tradeoffs between travel reliability, congestion mitigation strategies and emissions.

  • Fotheringham, A. S. (1981). Spatial structure and distance-decay parameters. Annals of the Association of American Geographers, 71, 425–436.

    Google Scholar 

  • Fridstrøm, L., Minken, H., Moilanen, P., Shepherd, S., & Vold, A. (2000). Economic and equity effects of marginal cost pricing in transport. AFFORD Deliverable A, 2.

  • Gonçalves, M. B., & de Cursi, J. E. S. (2001). Parameter estimation in a trip distribution model by random perturbation of a descent method. Transportation Research Part B: Methodological, 35, 137–161.

    Article  Google Scholar 

  • Ham, H., Kim, T. J., & Boyce, D. (2005). Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows. Transportation Research Part B: Methodological, 39, 65–79.

    Article  Google Scholar 

  • Hau, T. D. (1992). Economic fundamentals of road pricing: A diagrammatic analysis. World Bank working paper WPS 1070.

  • Hau, T. D. (1998). Congestion pricing and road investment. In K. J. Button & E. T. Verhoef (Eds.), Road pricing, traffic congestion and the environment. Cheltenham: Edward Elgar.

    Google Scholar 

  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 46, 1251–1271.

    Article  Google Scholar 

  • Haynes, K., & Fotheringham, A. (1984). Gravity and spatial interaction models. In G. Thrall (Ed.), Scientific geography series 2. Newbury Park: Sage Publications.

    Google Scholar 

  • Johansson, B., & Mattsson, L. G. (1994). From theory and policy analysis to the implementation of road pricing: Stockholm region in the 1990s. In B. Johansson & L. G. Mattsson (Eds.), Road pricing: Theory, empricial assessment and policy (pp. 181–204). Boston: Kluwer Academic Publishers.

    Google Scholar 

  • Kalinowska, D., & Steininger, K. W. (2009). Distributional impacts of car road pricing: settlement structures determine divergence across countries. Ecological Economics, 68(12), 2890–2896.

    Article  Google Scholar 

  • Karemera, D., Oguledo, V. I., & Davis, B. (2000). A gravity model analysis of international migration to North America. Applied Economics, 32, 1745–1755.

    Article  Google Scholar 

  • Kelejian, H. H., & Prucha, I. R. (2007). The relative efficiencies of various predictors in spatial econometric models containing spatial lags. Regional Science and Urban Economics, 37, 363–374.

    Article  Google Scholar 

  • Kim, K., & Kim, H. (2008) Space structure of the Korean capital and its commuting efficiency. Korea Development Institute.

  • Korea Development Institute. (2008). A study on the general guide for the preliminary eligibility test. Seoul.

  • Korea Energy Economics Institute. (2008). Energy consumption survey.

  • Korea Expressway Corporation. (2009). 2009 Expressway traffic volume statistics.

  • Korea Expressway Corporation. (2013). Http://Www.Ex.Co.Kr/Portal/Rod/Toll/Toll_System/Toll_Road/Proad_Policy.Jsp.

  • Korean Broadcasting System. (2011). A dispute on profitable highway.

  • KOSIS. (2011). Korean statistical information service.

  • Lambert, D. M., & McNamara, K. T. (2009). Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive? Agricultural Economics, 40, 617–630.

    Article  Google Scholar 

  • Lee, J. M., & Han, S. (2009). A study on the comparison between fuel taxes and social costs in road transport. Journal of Regulation Studies, 18, 65–94.

    Google Scholar 

  • Lee, J. M., Han, S., & Shin, H. (2008). A plan to improve fuel taxes considering social costs in transport. The Korea Transport Institute.

  • Lee, J. M., Han, S., & Yoo, J. (2009). Study on changes of highway tolls with respect to vehicle type. The Korea Transport Institute.

  • LeSage, J. P., & Pace, R. K. (2005). Spatial econometric modeling of origin–destination flows. Unpublished working paper.

  • Lewer, J. J., & Van den Berg, H. (2008). A gravity model of immigration. Economics Letters, 99, 164–167.

    Article  Google Scholar 

  • Li, Z., & Sinha, K. C. (2004). Methodology for the development of a highway asset management system for Indiana. West Lafayette: Purdue University.

    Book  Google Scholar 

  • Lindsey, R. C., & Verhoef, E. T. (2000). Traffic congestion and congestion pricing. Tinbergen Institute.

  • Litman, T. (1996). Using road pricing revenue: economic efficiency and equity considerations. Transportation Research Record: Journal of the Transportation Research Board, 1558(1), 24–28.

    Article  Google Scholar 

  • Litman, T. (2011). Guide to calculating mobility management benefits. Victoria Transport Policy Institute.

  • National Research Council (US). (2011). Transportation Research Board. Committee on Equity Implications of Evolving Transportation Finance Mechanisms. Equity of evolving transportation finance mechanisms. Vol. 303. Transportation Research Board.

  • Newbery, D. M. (1990). Pricing and congestion: economic principles relevant to pricing roads. Oxford Review of Economic Policy, 6, 22–38.

    Article  Google Scholar 

  • Park, S. (2010). 40th anniversary of Gyeong Bu expressway, a new beginning. Korean Society of Civil Engineers, 58, 11–14.

    Google Scholar 

  • Sargan, J. D. (1958). The estimation of economic relationships using instrumental variables. Econometrica, 26, 393–415.

    Article  Google Scholar 

  • Schweitzer, L., & Taylor, B. D. (2008). Just pricing: the distributional effects of congestion pricing and sales taxes. Transportation, 35(6), 797–812.

    Article  Google Scholar 

  • Small, K. A. (1992). Using the revenues from congestion pricing. Transportation, 19, 359–381.

    Article  Google Scholar 

  • Small, K. A. (2005). Road pricing and public transit: unnoticed lessons from London. Access, 26(3), 10–15.

    Google Scholar 

  • Small, K. A. (2010). Private provision of highways: economic issues. Transport Reviews, 30, 11–31.

    Article  Google Scholar 

  • Small, K. A., & Verhoef, E. T. (2007). The economics of urban transportation. London: Routledge.

    Google Scholar 

  • StataCorp. (2013). Stata multiple-imputation reference manual: release 13. Stata Press. Available from: http://www.stata.com/manuals13/rnbreg.pdf.

  • Stock, J. H., & Yogo, M. (2005). Testing for weak instruments in linear IV regression. NBER Technical Working Paper No. 284.

  • Systematics Cambridge Inc. with Texas Transportation Institute. (2005). Traffic congestion and reliability: trends and advanced strategies for congestion mitigation. Federal Highway Administration Office of Operations.

  • Thacker, J. (2009). The impacts of tolling on low-income persons in the Puget Sound region.

  • Tinbergen, J. (1962). Shaping the world economy: Suggestions for an international economic policy. New York: Twentieth Century Fund.

    Google Scholar 

  • U.S. Department of Transportation. (2008). Income-based equity impacts of congestion pricing: A primer, Federal Highway Administration.

  • Verhoef, E. T. (1996). The economics of regulating road transport. Cheltenham: Edward Elgar.

    Google Scholar 

  • Vickrey, W. S. (1963). Pricing in urban and suburban transport. The American Economic Review, 53, 452–465.

    Google Scholar 

  • Vickrey, W. S. (1969). Congestion theory and transport investment. The American Economic Review, 59, 251–260.

    Google Scholar 

  • Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57, 307–333.

    Article  Google Scholar 

  • Walters, A. (1987). Congestion. In J. Eatwell, M. Milgate, & P. Newman (Eds.), The New Palgrave: A dictionary of economics. London: Macmillan Press.

    Google Scholar 

  • Washington, S., Congdon, P., Karlaftis, M., & Mannering, F. (2009). Bayesian multinomial logit: theory and route choice example. Transportation Research Record: Journal of the Transportation Research Board, 2136, 28–36.

    Article  Google Scholar 

  • Wooldridge, J. (2002). Econometric analysis of cross section and panel data. Cambridge: MIT Press.

    Google Scholar 

  • Yonhapnews. (2011). Civil groups making a lawsuit for annulment of Kyungin Highway toll fee.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seong-Hoon Cho.

Additional information

Views expressed are the authors’ alone and do not necessarily correspond to those of the University of Tennessee or Kyungpook National University.This work was supported by the Korea Expressway Corporation.

Appendix

Appendix

Table 7 Parameter estimates from the highway-usage price equation

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cho, SH., Lee, J., Kim, S.G. et al. Impacts of Alternative Toll-Fee Structures on Highway Use. Appl. Spatial Analysis 8, 27–44 (2015). https://doi.org/10.1007/s12061-014-9119-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12061-014-9119-x

Keywords

Navigation