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Examining the impacts of capital investment in London’s Underground: A long-term analysis

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  • Xuto, Praj
  • Bansal, Prateek
  • Anderson, Richard J.
  • Graham, Daniel J.
  • Hörcher, Daniel
  • Barron, Alexander

Abstract

The deferred repair of infrastructure is often a pressing issue since infrastructure failures can have severe economic consequences for both operators and users. Although the benefits of non-expansion capital spending are well-known within the industry, empirical validations of such benefits from an organisational perspective are relatively rare. This exploratory research seeks to understand the impact of non-expansion capital spending on demand-side measures and operating cost using 70 years of unique data from London Underground. The data was collected for this research, and is among the longest time series for metros available within the academic literature. We adopt an autoregressive distributed lag model and discuss implications in the context of industry practices, including analysis of the company’s history and London’s urban development and politics. The exploratory results suggest that a 10% annual growth in cumulative non-expansion capital spending is associated with, on average, 4%–5% annual growth in passenger demand. Additionally, investment’s overall impact on demand increases over time. The 2000s period of infrastructure public–private partnerships was also found to be associated with positive annual growth in operating cost and negative growth in passenger demand. These results highlight the importance of capital investment and the impact of local politics on rail organisations’ long-term financial health.

Suggested Citation

  • Xuto, Praj & Bansal, Prateek & Anderson, Richard J. & Graham, Daniel J. & Hörcher, Daniel & Barron, Alexander, 2023. "Examining the impacts of capital investment in London’s Underground: A long-term analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
  • Handle: RePEc:eee:transa:v:175:y:2023:i:c:s0965856423001647
    DOI: 10.1016/j.tra.2023.103744
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    References listed on IDEAS

    as
    1. Laird, James J. & Venables, Anthony J., 2017. "Transport investment and economic performance: A framework for project appraisal," Transport Policy, Elsevier, vol. 56(C), pages 1-11.
    2. Eliasson, Jonas & Fosgerau, Mogens, 2019. "Cost-benefit analysis of transport improvements in the presence of spillovers, matching and an income tax," Economics of Transportation, Elsevier, vol. 18(C), pages 1-9.
    3. Albalate, Daniel & Bel, Germà, 2010. "What shapes local public transportation in Europe? Economics, mobility, institutions, and geography," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 775-790, September.
    4. García Márquez, Fausto Pedro & Lewis, Richard W. & Tobias, Andrew M. & Roberts, Clive, 2008. "Life cycle costs for railway condition monitoring," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1175-1187, November.
    5. Daniel J. Graham & Patricia S. Melo & Piyapong Jiwattanakulpaisarn & Robert B. Noland, 2010. "Testing For Causality Between Productivity And Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(5), pages 935-951, December.
    6. de Rus, Ginés & Socorro, M. Pilar, 2014. "Access pricing, infrastructure investment and intermodal competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 374-387.
    7. 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.
    8. Bibhuti Sarker & Farid Khan, 2020. "Nexus between foreign direct investment and economic growth in Bangladesh: an augmented autoregressive distributed lag bounds testing approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
    9. Riccardo Crescenzi & Marco Di Cataldo & Andrés Rodríguez-Pose, 2016. "Government Quality And The Economic Returns Of Transport Infrastructure Investment In European Regions," Journal of Regional Science, Wiley Blackwell, vol. 56(4), pages 555-582, September.
    10. Graham, Daniel J. & Crotte, Amado & Anderson, Richard J., 2009. "A dynamic panel analysis of urban metro demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 787-794, September.
    11. Rokicki, Bartlomiej & Stępniak, Marcin, 2018. "Major transport infrastructure investment and regional economic development – An accessibility-based approach," Journal of Transport Geography, Elsevier, vol. 72(C), pages 36-49.
    12. Stock, James H. & Watson, Mark W., 1989. "Interpreting the evidence on money-income causality," Journal of Econometrics, Elsevier, vol. 40(1), pages 161-181, January.
    13. Xuto, Praj & Anderson, Richard J. & Graham, Daniel J. & Hörcher, Daniel, 2023. "Sustainable urban rail funding: Insights from a century-long global dataset," Transport Policy, Elsevier, vol. 130(C), pages 100-115.
    14. Tirachini, Alejandro & Hensher, David A. & Jara-Díaz, Sergio R., 2010. "Restating modal investment priority with an improved model for public transport analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1148-1168, November.
    15. Xuto, Praj & Anderson, Richard J. & Graham, Daniel J. & Hörcher, Daniel, 2021. "Optimal infrastructure reinvestment in urban rail systems: A dynamic supply optimisation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 251-268.
    16. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
    17. Ibitoye J. Oyebanji & Hlalefang Khobai & Pierre Le Roux, 2019. "Green Growth Policies and Sustainable Economic Growth in South Africa: An Autoregressive Distributed Lag and Toda-Yamamoto Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 184-193.
    18. Maparu, Tuhin Subhra & Mazumder, Tarak Nath, 2017. "Transport infrastructure, economic development and urbanization in India (1990–2011): Is there any causal relationship?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 319-336.
    19. Vickerman, Roger, 2017. "Beyond cost-benefit analysis: the search for a comprehensive evaluation of transport investment," Research in Transportation Economics, Elsevier, vol. 63(C), pages 5-12.
    20. Wadud, Zia & Graham, Daniel J. & Noland, Robert B., 2009. "Modelling fuel demand for different socio-economic groups," Applied Energy, Elsevier, vol. 86(12), pages 2740-2749, December.
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