Skip to main content

Assessing Innovations in High-Speed Rail Infrastructure

  • Conference paper
  • First Online:
Socioeconomic Impacts of High-Speed Rail Systems (IW-HSR 2022)

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Included in the following conference series:

  • 182 Accesses

Abstract

Innovations in high-speed rail (HSR) have had substantial effects on different stakeholders within and outside the railway system. As part of the European Shift2Rail research programme, several innovative solutions are developed for, among others, improving the HSR infrastructure. The Joint Undertaking behind this research program has set objectives for these innovations in terms of punctuality, capacity, and life cycle costs. With a focus on infrastructure-related innovations for HSR, this paper aims at assessing their impacts in relation to these targets. We review the relevant research literature about the effects of HSR innovations and their assessment. The paper presents a hybrid assessment methodology combing different approaches to assess capacity, punctuality, and cost effects. This contributes to reducing the existing gap that is found in the research literature. Based on a reference scenario for HSR line and collected data from different stakeholders, the results indicate that infrastructure innovations in HSR, being developed within the European Shift2Rail research programme, can contribute to reaching the target set for punctuality. Further innovations in HSR infrastructure and/or other railway assets may be needed to reach additional targets and for more accurate improvement values giving more insights into their impacts.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ju, S.R.: Multi-annual Action Plan. https://rail-research.europa.eu/wp-content/uploads/2020/09/MAAP-Part-A-and-B.pdf (2019)

  2. Walrave, M.: The development of high speed rail innovation and tradition: prospects for the future. Rivista Internazionale di Scienze Sociali 101(3), 375–397 (1993)

    Google Scholar 

  3. Chen, J., Mei, L.: Innovation evolution of China’s high-speed rail industry. Front. Eng. Manage. 5(4), 548–552 (2018)

    Article  Google Scholar 

  4. Liu, X., Yang, X.: Identifying technological innovation capability of high-speed rail industry based on patent analysis. In: 2019 8th International Conference on Industrial Technology and Management (ICITM) (2019)

    Google Scholar 

  5. UIC: High Speed Rail: Fast Track to Sustainable Mobility (2018)

    Google Scholar 

  6. EC: 96/48/EC on the interoperability of the trans-European high-speed rail system. Commission of the European Communities, Brussels 23 (1996)

    Google Scholar 

  7. UIC: UIC Code 406-Capacity, I.U.o. Railways, Editor (2004)

    Google Scholar 

  8. Bracaglia, V., et al.: High-speed rail networks, capacity investments and social welfare. Transp. Res. Part A Policy Pract. 132, 308–323 (2020)

    Article  Google Scholar 

  9. Abril, M., et al.: An assessment of railway capacity. Transp. Res. Part E-Log Transp. Rev. 44(5), 774–806 (2008)

    Article  Google Scholar 

  10. Cheng, J., Chen, Z.: Impact of high-speed rail on the operational capacity of conventional rail in China. Transp. Policy 110, 354–367 (2021)

    Article  Google Scholar 

  11. Ren, X., et al.: Impact of high-speed rail on social equity in China: evidence from a mode choice survey. Transp. Res. Part A Policy Pract. 138, 422–441 (2020)

    Article  Google Scholar 

  12. Momenitabar, M., et al.: Literature review of socioeconomic and environmental impacts of high-speed rail in the world. Sustainability 13(21), 12231 (2021)

    Article  Google Scholar 

  13. Zhu, Z., Lin, X., Yang, H.: Booming with speed: high-speed rail and regional green innovation. J. Adv. Transp. 2021, 9705982 (2021)

    Article  Google Scholar 

  14. Guirao, B., Campa, J.L., López-Lambas, M.E.: The assessment of the HSR impacts on Spanish tourism: an approach based on multivariate panel data analysis. Transp. Res. Proc. 18, 197–204 (2016)

    Google Scholar 

  15. Chong, Z., Chen, Z., Qin, C.: Estimating the economic benefits of high-speed rail in China: a new perspective from the connectivity improvement. J. Transp. Land Use 12(1), 287–302 (2019)

    Google Scholar 

  16. Chen, Z., Haynes, K.E.: Impact of high-speed rail on regional economic disparity in China. J. Transp. Geogr. 65, 80–91 (2017)

    Article  Google Scholar 

  17. Bruzzone, F., Cavallaro, F., Nocera, S.: The effects of high-speed rail on accessibility and equity: evidence from the Turin-Lyon case-study. Socio-Econ. Plann. Sci. 101379 (2022)

    Google Scholar 

  18. Gutiérrez, J., Monzon, A., Piñero, J.M.: Accessibility, network efficiency, and transport infrastructure planning. Environ Plan A 30(8), 1337–1350 (1998)

    Article  Google Scholar 

  19. Komikado, H., et al.: High-speed rail, inter-regional accessibility, and regional innovation: evidence from Japan. Technol. Forecast. Soc. Chang. 167, 120697 (2021)

    Article  Google Scholar 

  20. Sartori, D., et al.: Guide to cost-benefit analysis of investment projects: economic appraisal tool for Cohesion Policy, 2014 (2020)

    Google Scholar 

  21. Rothengatter, W.: Approaches to measure the wider economic impacts of high-speed rail and experiences from Europe (2019)

    Google Scholar 

  22. Maout, E.L., Kato, H.: Life cycle cost-estimation model for building, operating, and maintaining high-speed rail systems. Asian Transp. Stud. 4(1), 245–260 (2016)

    Google Scholar 

  23. Han, S.-H.: Optimal safety valuation of high-speed railway bridges based on reliability assessment and life-cycle cost concept. Int. J. Steel Struct. 17(1), 339–349 (2017)

    Article  Google Scholar 

  24. Rungskunroch, P., Shen, Z.-J., Kaewunruen, S.: Benchmarking environmental and economic impacts from the HSR networks considering life cycle perspectives. Environ. Impact Assess. Rev. 90, 106608 (2021)

    Article  Google Scholar 

  25. IMPACT-2: D4.1-Initial quantitative KPI model. Shift2Rail (2018)

    Google Scholar 

  26. IMPACT-2: D4.4-First SPD integrated assessment. Shift2Rail (2020)

    Google Scholar 

  27. IMPACT-2: D4.5-Validated quantitative KPI model. Shift2Rail (2020)

    Google Scholar 

  28. Kurt, F., et al.: The KPI-Model–an integrated KPI assessment methodology to estimate the impact of different innovations in the railway sector. In: SmartRaCon Workshop (2022)

    Google Scholar 

  29. IMPACT-2: D4.2-Initial estimation of the KPIs. Shift2Rail (2018)

    Google Scholar 

Download references

Acknowledgements

This project has received funding from the Shift2Rail Joint Undertaking (JU) under grant agreement No 777513. The JU receives support from the European Union’s Horizon 2020 research and innovation program and the Shift2Rail JU members other than the Union.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abderrahman Ait-Ali .

Editor information

Editors and Affiliations

Appendices

Appendix 1—Abbreviations and Acronyms

AL:

Accuracy levels

CBA:

Cost-benefit analysis

CCA:

Cross-cutting-activities

DD:

Difference-in-differences

EC:

European Commission

EU:

European Union

HSR:

High-speed rail

IP:

Innovation programmes

JU:

Joint Undertaking

Kmph:

Kilometer per hour

KPI:

Key performance indicator

LCA:

Life-cycle analysis

LCC:

Life-cycle cost

MPDA:

Multivariate Panel Data Analysis

PNV:

Present Net Value

R&I:

Research and innovation

SPD:

System Platform Demonstrator

S2R:

Shift2Rail

TD:

Technical demonstrator

TGV:

high-speed train (Train à grande vitesse)

UIC:

International Union of Railways (Union internationale des chemins de fer)

Appendix 2—Definitions of the Accuracy Levels

Accuracy levels

Cost value

Technical value

Based on the market (for costs), physical prototype (for technical)

Improvement values based on prototypes and estimation of scale effect for series production as well as acceptable market prices based on first discussions among involved stakeholders

Improvement values based on results of a test in field or laboratory conditions (foreseen to be similar in the field)

Based on a prototype (for costs), simulation/labs (for technical)

Improvement values are based on the evaluation of prototype cost without consideration of economies of scale

Improvement values based on results of the test under laboratory conditions (requiring further testing in the field), or simulations of the technology

Model-based

Improvement values are based on prototype drawings or based on calculations for similar technologies or comparable methods

Expert estimation

Improvement values based on knowledge of experts

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ait-Ali, A., Kurt, F., Isberner, A., Odolinski, K., Berg, M. (2023). Assessing Innovations in High-Speed Rail Infrastructure. In: Pagliara, F. (eds) Socioeconomic Impacts of High-Speed Rail Systems. IW-HSR 2022. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-26340-8_13

Download citation

Publish with us

Policies and ethics