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Ex-Post Evaluations of Demand Forecast Accuracy: A Literature Review

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  • Morten Skou Nicolaisen
  • Patrick Arthur Driscoll

Abstract

Travel demand forecasts play a crucial role in the preparation of decision support to policy-makers in the field of transport planning. The results feed directly into impact appraisals such as cost-benefit analyses and environmental impact assessments, which are mandatory for large public works projects in many countries. Over the last few decades, there has been increasing attention given to the lack of demand forecast accuracy. However, since data availability for comprehensive ex-post appraisals is problematic, such studies are still relatively rare. This study presents a review of the largest ex-post studies of demand forecast accuracy for transport infrastructure projects. The focus is threefold: to provide an overview of observed levels of demand forecast inaccuracy, to highlight key contextual and methodological differences between studies and to highlight key focus areas for future research in this field. The results show that inaccuracy remains problematic for road, rail and toll projects alike, but also how the lack of methodological clarity and consistency calls for a careful interpretation of these results. Mandatory, systematic ex-post evaluation programmes are suggested as a necessary tool to improve decision support, as data availability for ex-post studies is often remarkably poor even for internal audits.

Suggested Citation

  • Morten Skou Nicolaisen & Patrick Arthur Driscoll, 2014. "Ex-Post Evaluations of Demand Forecast Accuracy: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 540-557, July.
  • Handle: RePEc:taf:transr:v:34:y:2014:i:4:p:540-557
    DOI: 10.1080/01441647.2014.926428
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    Citations

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    Cited by:

    1. Coker, Ayodeji Ajibola Alexander, 2021. "Accuracy of in Medias RES and EX-Post Cost-Benefit Analyses: A Case of National Special Programme for Food Security, Nigeria," 2021 Conference, August 17-31, 2021, Virtual 314936, International Association of Agricultural Economists.
    2. West, Jens & Börjesson, Maria & Engelson, Leonid, 2016. "Accuracy of the Gothenburg congestion charges forecast," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 266-277.
    3. Odeck, James & Kjerkreit, Anne, 2019. "The accuracy of benefit-cost analyses (BCAs) in transportation: An ex-post evaluation of road projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 277-294.
    4. Andersson, Matts & Brundell-Freij, Karin & Eliasson, Jonas, 2017. "Validation of aggregate reference forecasts for passenger transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 101-118.
    5. Shakeel ul Rehman & Rafia Gulzar & Wajeeha Aslam, 2022. "Developing the Integrated Marketing Communication (IMC) through Social Media (SM): The Modern Marketing Communication Approach," SAGE Open, , vol. 12(2), pages 21582440221, May.
    6. Nicolaisen, Morten Skou & Næss, Petter, 2015. "Roads to nowhere: The accuracy of travel demand forecasts for do-nothing alternatives," Transport Policy, Elsevier, vol. 37(C), pages 57-63.
    7. Amarilis Lucia Casteli Figueiredo Gallardo & Alexandre de Oliveira e Aguiar & Luis Enrique Sánchez, 2016. "Linking Environmental Assessment and Management of Highway Construction in Southeastern Brazil," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-27, March.
    8. Asplund, Disa & Eliasson, Jonas, 2016. "Does uncertainty make cost-benefit analyses pointless?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 195-205.
    9. Carlos Oliveira Cruz & Joaquim Miranda Sarmento, 2020. "Traffic forecast inaccuracy in transportation: a literature review of roads and railways projects," Transportation, Springer, vol. 47(4), pages 1571-1606, August.
    10. Walker, Joan L. & Chatman, Daniel & Daziano, Ricardo & Erhardt, Gregory & Gao, Song & Mahmassani, Hani & Ory, David & Sall, Elizabeth & Bhat, Chandra & Chim, Nicholas & Daniels, Clint & Gardner, Brian, 2019. "Advancing the Science of Travel Demand Forecasting," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0v1906ts, Institute of Transportation Studies, UC Berkeley.
    11. Han, Xiao & Yu, Yun & Gao, Zi-You & Zhang, H. Michael, 2021. "The value of pre-trip information on departure time and route choice in the morning commute under stochastic traffic conditions," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 205-226.
    12. Bert Van Wee & David Banister, 2016. "How to Write a Literature Review Paper?," Transport Reviews, Taylor & Francis Journals, vol. 36(2), pages 278-288, March.
    13. Yuan Liang & Bingjie Yu & Xiaojian Zhang & Yi Lu & Linchuan Yang, 2022. "The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago," Papers 2207.01793, arXiv.org, revised Feb 2023.
    14. Carlos Oliveira Cruz & Joaquim Miranda Sarmento, 2018. "Maximizing the value for money of road projects through digitalization," Competition and Regulation in Network Industries, , vol. 19(1-2), pages 69-92, March.
    15. Milne, Dave & Watling, David, 2019. "Big data and understanding change in the context of planning transport systems," Journal of Transport Geography, Elsevier, vol. 76(C), pages 235-244.
    16. Xu, Xiangdong & Chen, Anthony & Wong, S.C. & Cheng, Lin, 2015. "Selection bias in build-operate-transfer transportation project appraisals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 245-251.
    17. Liang, Yuan & Yu, Bingjie & Zhang, Xiaojian & Lu, Yi & Yang, Linchuan, 2023. "The short-term impact of congestion taxes on ridesourcing demand and traffic congestion: Evidence from Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    18. Maria Rosa Nieto & Rafael Bernardo Carmona-Benítez, 2021. "An Approach to Measure the Performance and the Efficiency of Future Airport Infrastructure," Mathematics, MDPI, vol. 9(16), pages 1-28, August.
    19. Solvoll, Gisle & Mathisen, Terje Andreas & Welde, Morten, 2020. "Forecasting air traffic demand for major infrastructure changes," Research in Transportation Economics, Elsevier, vol. 82(C).
    20. Morten Skou Nicolaisen & Patrick A. Driscoll, 2016. "An International Review of Ex-Post Project Evaluation Schemes in the Transport Sector," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-33, March.
    21. Schubert, Daniel & Sys, Christa & Vanelslander, Thierry & Roumboutsos, Athena, 2022. "No-queue road pricing: A comprehensive policy instrument for Europe?," Utilities Policy, Elsevier, vol. 78(C).
    22. Beria, Paolo & Grimaldi, Raffaele & Albalate, Daniel & Bel, Germà, 2018. "Delusions of success: Costs and demand of high-speed rail in Italy and Spain," Transport Policy, Elsevier, vol. 68(C), pages 63-79.
    23. Zhou, You & Zhang, Lingzhu & Chiaradia, Alain J F, 2021. "An adaptation of reference class forecasting for the assessment of large-scale urban planning vision, a SEM-ANN approach to the case of Hong Kong Lantau tomorrow," Land Use Policy, Elsevier, vol. 109(C).
    24. Andersson, Matts & Brundell-Freij, Karin & Eliasson, Jonas, 2016. "Validation of reference forecasts for passenger transport," Working papers in Transport Economics 2016:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 07 Jul 2016.

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