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Impact of a Preliminary Feasibility Study on the accuracy of traffic forecasts in the case of Korea

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  • Kim, Kangsoo
  • Baek, Seunghan
  • Cho, Hyejin

Abstract

The financial crisis that beset the Republic of Korea in late 1997 had a tremendous impact on the nation’s economy. In an effort to resolve the fundamental causes of this crisis, one fiscal reform, executed with the goal of improving the efficacy of government investment, was the introduction of the Preliminary Feasibility Study (PFS). PFS was initiated to determine which projects to fund in a transparent and fair way through preliminarily examinations and evaluation of the feasibility of large-scale government projects. This study assesses the achievements of PFS by investigating improvements in the accuracy of traffic forecasting results and analyzing the determinants of traffic forecasting errors in PFS. The traffic forecasting data include 42 road projects for which PFS were conducted and 113 road projects that were not subject to PFS and for which forecasts and actual out-turns were available. The results reveal that 41.3% of traffic forecasts were overestimated before the introduction of PFS. This statistic contrasts with the traffic forecasting error rate of 14.53% since PFS became mandatory. Moreover, traffic forecasts of PFS projects were also unbiased. By analyzing the determinants of traffic forecasting errors in PFS projects using the random forest approach, we also found that the characteristics of the project manager and forecaster, and the influence of politicians or political groups, had minimal effect on traffic forecasting errors. We conclude that PFS enhances the accuracy of traffic forecasts and prevents the initiation of inefficient transportation projects. Our study fills a gap in the existing literature because few studies have focused on the various factors affecting traffic forecasting error based on data and econometrics. This study also examines the effects of policy measures to mitigate overestimation and increase traffic forecasting accuracy. Our results emphasize the significant role of analysts, the need for credible guidelines and an independent evaluation institution, and the importance of a robust governance system in public investment management.

Suggested Citation

  • Kim, Kangsoo & Baek, Seunghan & Cho, Hyejin, 2021. "Impact of a Preliminary Feasibility Study on the accuracy of traffic forecasts in the case of Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 197-211.
  • Handle: RePEc:eee:transa:v:147:y:2021:i:c:p:197-211
    DOI: 10.1016/j.tra.2021.02.013
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    as
    1. Thomas A. Evans, 2006. "The Effects of Discretionary Federal Spending on Parliamentary Election Results," Economic Inquiry, Western Economic Association International, vol. 44(2), pages 234-248, April.
    2. Bent Flyvbjerg, 2013. "Quality Control and Due Diligence in Project Management: Getting Decisions Right by Taking the Outside View," Papers 1302.2544, arXiv.org.
    3. Limosani, Michele & Navarra, Pietro, 2001. "Local Pork-Barrel Politics in National Pre-election Dates: The Case of Italy," Public Choice, Springer, vol. 106(3-4), pages 317-326, March.
    4. J. Zachary Klingensmith, 2019. "Political Entrepreneurs and Pork-Barrel Spending," Economies, MDPI, vol. 7(1), pages 1-17, February.
    5. Bent Flyvbjerg, 2007. "Policy and Planning for Large-Infrastructure Projects: Problems, Causes, Cures," Environment and Planning B, , vol. 34(4), pages 578-597, August.
    6. Borck, Rainald & Owings, Stephanie, 2003. "The political economy of intergovernmental grants," Regional Science and Urban Economics, Elsevier, vol. 33(2), pages 139-156, March.
    7. Mackie, Peter & Preston, John, 1998. "Twenty-one sources of error and bias in transport project appraisal," Transport Policy, Elsevier, vol. 5(1), pages 1-7, January.
    8. Levitt, Steven D & Snyder, James M, Jr, 1997. "The Impact of Federal Spending on House Election Outcomes," Journal of Political Economy, University of Chicago Press, vol. 105(1), pages 30-53, February.
    9. Odeck, James & Welde, Morten, 2017. "The accuracy of toll road traffic forecasts: An econometric evaluation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 73-85.
    Full references (including those not matched with items on IDEAS)

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