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Using accessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment

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  • Gutiérrez, Javier
  • Condeço-Melhorado, Ana
  • Martín, Juan Carlos
Abstract
This paper proposes a methodology to measure spatial spillovers of transport infrastructure investment and to monetize them by distributing the costs of the infrastructures envisaged according to the regional distribution of the potential accessibility benefits. We use a transport master plan (the Spanish “Plan Estratégico de Infraestructuras y Transporte” 2005–2020, PEIT) as a case study for applying our methodology. In order to calculate and map regional spillovers, economic potential values are computed using network routines in a Geographic Information System (GIS) by comparing two scenarios: firstly, the scenario PEIT 2020; and secondly the scenario which includes the improvements envisaged for the year 2020 in all the regions except the region whose spillover effects are being analyzed. The differences between these two scenarios represent the potential spatial spillover effects of this region on the rest of the regions. This procedure is repeated for each of the Spanish regions in order to calculate a matrix of inter-regional spillovers in economic potential units. In a second step, this matrix is monetized by distributing the costs of the investment in infrastructures envisaged in the region according to the regional distribution of the economic potential benefits. This inter-regional matrix of investments flows characterizes the “inner”, “export”, and “import” values of each of the regional road investments. Subtracting from the direct investment the exports to other regions and adding the imports from other regions, an estimation of the real investment of the plan in each region taking into account all the spillover effects is obtained. This value can be compared with the direct investment in the region, analyzing whether one region has more or less direct investment than real. The proposed methodology makes it transparent which regions benefit more from national transport investment irrespective of where the investment occurs. The spillover matrix can be a valid instrument, especially in federal states or in the case of transnational projects, in the field of regional economics because it offers very useful information for both planners and policy makers.

Suggested Citation

  • Gutiérrez, Javier & Condeço-Melhorado, Ana & Martín, Juan Carlos, 2010. "Using accessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment," Journal of Transport Geography, Elsevier, vol. 18(1), pages 141-152.
  • Handle: RePEc:eee:jotrge:v:18:y:2010:i:1:p:141-152
    DOI: 10.1016/j.jtrangeo.2008.12.003
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    References listed on IDEAS

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    Cited by:

    1. Yves Crozet & Aurélie Mercier & Nicolas Ovtracht, 2012. "Accessibility: a key indicator to assess the past and future of urban mobility," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 15, pages 263-279, Edward Elgar Publishing.
    2. Aurélie Mercier, 2016. "From spatial to social accessibility: How socio-economic factors can affect accessibility?," Working Papers halshs-01380412, HAL.
    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. Riccardo Mercurio & Paolo Canonico & Mario Pezzillo Iacono, 2012. "Organizing mobility as an infrastructure for development," Chapters, in: Peter Karl Kresl & Daniele Ietri (ed.), European Cities and Global Competitiveness, chapter 14, pages 259-273, Edward Elgar Publishing.
    5. Or Levkovich & Jan Rouwendal & Ramona Marwijk, 2016. "The effects of highway development on housing prices," Transportation, Springer, vol. 43(2), pages 379-405, March.
    6. Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez, 2014. "Accessibility and spatial interaction: an introduction," Chapters, in: Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez (ed.), Accessibility and Spatial Interaction, chapter 1, pages 1-12, Edward Elgar Publishing.
    7. Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez, 2018. "New Data and Methods in Accessibility Analysis," Networks and Spatial Economics, Springer, vol. 18(2), pages 237-240, June.
    8. Escobar-Garcia, Diego & Garcia-Orozco, Francisco & Cadena-Gaitan, Carlos, 2013. "Political determinants and impact analysis of using a cable system as a complement to an urban transport system," MERIT Working Papers 2013-017, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Escobar, D. & Cadena-Gaitan, C. & Garcia, F., 2014. "Accessibility analysis as an urban planning tool: Gas station location," MERIT Working Papers 2014-048, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Sander Hoogendoorn & Joost van Gemeren & Paul Verstraten & Kees Folmer, 2016. "House prices and accessibility: Evidence from a natural experiment in transport infrastructure," CPB Discussion Paper 322, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Yi, Yoojin & Kim, Euijune, 2018. "Spatial economic impact of road and railroad accessibility on manufacturing output: Inter-modal relationship between road and railroad," Journal of Transport Geography, Elsevier, vol. 66(C), pages 144-153.
    12. Laura Márquez-Ramos, 2016. "Port facilities, regional spillovers and exports: Empirical evidence from Spain," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 329-351, June.
    13. Moyano, Amparo & Martínez, Héctor S. & Coronado, José M., 2018. "From network to services: A comparative accessibility analysis of the Spanish high-speed rail system," Transport Policy, Elsevier, vol. 63(C), pages 51-60.
    14. Jussila Hammes , Johanna & Nilsson, Jan-Eric, 2015. "The allocation of transport infrastructure in Swedish municipalities: welfare maximization, political economy or both?," Working papers in Transport Economics 2015:4, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    15. Pelayo Arbués & Matias Mayor & José Ba-os, 2014. "Productivity and accessibility of road transportation infrastructure in Spain: a spatial econometric approach," Chapters, in: Ana Condeço-Melhorado & Aura Reggiani & Javier Gutiérrez (ed.), Accessibility and Spatial Interaction, chapter 9, pages 177-194, Edward Elgar Publishing.
    16. Christoph Aubrecht & Dilek Özceylan & Klaus Steinnocher & Sérgio Freire, 2013. "Multi-level geospatial modeling of human exposure patterns and vulnerability indicators," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(1), pages 147-163, August.
    17. Karst T. Geurs & Kevin J. Krizek & Aura Reggiani, 2012. "Accessibility analysis and transport planning: an introduction," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 1, pages 1-12, Edward Elgar Publishing.

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