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Recent Methodological Developments to Measure Spatial Interaction: Synthetic Accessibility Indices Applied to High‐speed Train Investments

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  • Juan Carlos Martín
  • Aura Reggiani

Abstract

The paper aims to analyse and compare synthetic indices of accessibility in order to measure the impact of high‐speed trains on European cities. In particular, it considers the data and results concerning two previous articles by Gutiérrez et al. and Martín et al. that analyse the accessibility gains produced by the construction of Trans‐European Transport Networks (TEN‐Ts). In these two papers, accessibility is studied using, first, a partial approach with three different indicators: location, potential market, and daily accessibility; and, second, data envelopment analysis (DEA) to calculate a synthetic index of global accessibility. The present paper extends these studies by applying principal component analysis (PCA) to obtain a new synthetic accessibility index. DEA and PCA are two good candidates to synthesize the partial information provided by different methods that have been employed in the previous literature that studies accessibility. It is shown that DEA and PCA methodologies yield a consistent ranking for the global accessibility of the European cities for three different scenarios: 1996, 2005 and 2015.

Suggested Citation

  • Juan Carlos Martín & Aura Reggiani, 2007. "Recent Methodological Developments to Measure Spatial Interaction: Synthetic Accessibility Indices Applied to High‐speed Train Investments," Transport Reviews, Taylor & Francis Journals, vol. 27(5), pages 551-571, February.
    • Handle: RePEc:taf:transr:v:27:y:2007:i:5:p:551-571
    DOI: 10.1080/01441640701322610
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    References listed on IDEAS

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    1. Diego Puga, 2000. "European regional policy in light of recent location theories," Working Papers dpuga-00-02, University of Toronto, Department of Economics.
    2. Andreas Stephan, 2000. "The Contribution of Transport and Human Capital Infrastructure to Local Private Production: A Partial Adjustment Approach," CIG Working Papers FS IV 00-20, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    3. C.A. Nash, 1991. "The case for high speed rail," Investigaciones Economicas, Fundación SEPI, vol. 15(2), pages 337-354, May.
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    Cited by:

    1. Maria Teresa Borzacchiello & Peter Nijkamp & Eric Koomen, 2010. "Accessibility and Urban Development: A Grid-Based Comparative Statistical Analysis of Dutch Cities," Environment and Planning B, , vol. 37(1), pages 148-169, February.
    2. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    3. Thomas W. Nicolai & Kai Nagel, 2014. "High resolution accessibility computations," Chapters, in: Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez (ed.), Accessibility and Spatial Interaction, chapter 4, pages 62-91, Edward Elgar Publishing.
    4. Wubeshet Woldemariam, 2021. "Prioritization of Low-Volume Road Projects Considering Project Cost and Network Accessibility: An Incremental Benefit–Cost Analysis Framework," Sustainability, MDPI, vol. 13(23), pages 1-15, December.
    5. Andrea De Montis & Simone Caschili & Daniele Trogu, 2014. "Spatial organization and accessibility: a study of US counties," Chapters, in: Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez (ed.), Accessibility and Spatial Interaction, chapter 6, pages 113-132, Edward Elgar Publishing.
    6. Beria, Paolo & Debernardi, Andrea & Ferrara, Emanuele, 2017. "Measuring the long-distance accessibility of Italian cities," Journal of Transport Geography, Elsevier, vol. 62(C), pages 66-79.
    7. Ortega, Emilio & López, Elena & Monzón, Andrés, 2014. "Territorial cohesion impacts of high-speed rail under different zoning systems," Journal of Transport Geography, Elsevier, vol. 34(C), pages 16-24.
    8. Daniel F Heuermann & Johannes F Schmieder, 2019. "The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
    9. Marie Delaplace & Sylvie Bazin & christophe Beckerich & Corinne Blanquart, 2011. "High speed Rail service and local economic development, a review," ERSA conference papers ersa10p167, European Regional Science Association.
    10. Bansal, Sunny & Sen, Joy, 2022. "Network assessment of Tier-II Indian cities’ airports in terms of type, accessibility, and connectivity," Transport Policy, Elsevier, vol. 124(C), pages 221-232.
    11. Vega, Amaya & Reynolds-Feighan, Aisling, 2016. "The impact of the great recession on Irish air travel: An intermodal accessibility analysis," Journal of Air Transport Management, Elsevier, vol. 51(C), pages 1-18.
    12. González-González, Esther & Nogués, Soledad, 2019. "Long-term differential effects of transport infrastructure investment in rural areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 234-247.
    13. Ji Han & Jiabin Liu, 2018. "Urban Spatial Interaction Analysis Using Inter-City Transport Big Data: A Case Study of the Yangtze River Delta Urban Agglomeration of China," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    14. Aura Reggiani, 2012. "Accessibility, connectivity and resilience in complex networks," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 2, pages 15-36, Edward Elgar Publishing.
    15. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network," International Regional Science Review, , vol. 34(2), pages 230-252, April.
    16. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    17. Vega, Amaya, 2012. "Using Place Rank to measure sustainable accessibility," Journal of Transport Geography, Elsevier, vol. 24(C), pages 411-418.
    18. Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    19. Li, Hui & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2021. "Policy analysis for high-speed rail in China: Evolution, evaluation, and expectation," Transport Policy, Elsevier, vol. 106(C), pages 37-53.
    20. James Jixian Wang & Jiang Xu & Jianfeng He, 2013. "Spatial Impacts of High-Speed Railways in China: A Total-Travel-Time Approach," Environment and Planning A, , vol. 45(9), pages 2261-2280, September.
    21. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
    22. Ahern, Aoife & Vega, Amaya & Caulfield, Brian, 2016. "Deprivation and access to work in Dublin City: The impact of transport disadvantage," Research in Transportation Economics, Elsevier, vol. 57(C), pages 44-52.
    23. Heuermann, Daniel F. & Schmieder, Johannes F., 2014. "Warping Space: High-Speed Rail and Returns to Scale in Local Labor Markets," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100293, Verein für Socialpolitik / German Economic Association.
    24. Evangelinos, Christos & Staub, Nelly & Marcucci, Edoardo & Gatta, Valerio, 2021. "The impact of airport parking fees on the tourist's airport/airline choice behavior," Journal of Air Transport Management, Elsevier, vol. 90(C).

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