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Measurement of Accessibility and Its Applications

Author

Listed:
  • Nobuo Yoshida

    (The World Bank, nyoshida@worldbank.org)

  • Uwe Deichmann

    (The World Bank, udeichmann@worldbank.org)

Abstract

Access to markets and social services is a major determinant of economic status and welfare. Measurement of access is therefore of great importance for policy analysis and planning of interventions. The objective of this article is to expose readers to a new way of measuring and visualising accessibility—a potential accessibility index—and its applications. This index gauges connectivity of a specific location to large cities while taking into account the population of the cities or other destinations of interest and the transportation facilities to reach them. The potential accessibility index is used in the empirical literature to test the hypotheses from the ‘New Economic Geography’ regarding the impact of market access on regional economic growth. Along with recent developments in poverty mapping, this index has also been used to investigate the spatial relationship between poverty and market access. Accessibility indexes are gradually gaining acknowledgement of policy makers and development practitioners as important monitoring instruments of development. For example, a rural access indicator is part of the results measurement system for the World Bank's International Development Association (IDA) programmes.

Suggested Citation

  • Nobuo Yoshida & Uwe Deichmann, 2009. "Measurement of Accessibility and Its Applications," Journal of Infrastructure Development, India Development Foundation, vol. 1(1), pages 1-16, June.
    • Handle: RePEc:sae:jouinf:v:1:y:2009:i:1:p:1-16
    DOI: 10.1177/097493060900100102
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    References listed on IDEAS

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    1. Sylvie Démurger & Jeffrey D. Sachs & Wing Thye Woo & Shuming Bao & Gene Chang & Andrew Mellinger, 2002. "Geography, Economic Policy, and Regional Development in China," Asian Economic Papers, MIT Press, vol. 1(1), pages 146-197.
    2. J. Vernon Henderson, Zmarak Shalizi, and Anthony J. Venables, 2001. "Geography and development," Journal of Economic Geography, Oxford University Press, vol. 1(1), pages 81-105, January.
    3. Simon J. Evenett & Wolfgang Keller, 2002. "On Theories Explaining the Success of the Gravity Equation," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 281-316, April.
    4. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    5. Lall, Somik V. & Shalizi, Zmarak & Deichmann, Uwe, 2004. "Agglomeration economies and productivity in Indian industry," Journal of Development Economics, Elsevier, vol. 73(2), pages 643-673, April.
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    Citations

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    Cited by:

    1. Catherine Linard & Marius Gilbert & Robert W Snow & Abdisalan M Noor & Andrew J Tatem, 2012. "Population Distribution, Settlement Patterns and Accessibility across Africa in 2010," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-8, February.
    2. Atuesta, Laura H. & Ibarra-Olivo, J. Eduardo & Lozano-Gracia, Nancy & Deichmann, Uwe, 2018. "Access to employment and property values in Mexico," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 142-154.
    3. Stepniak, Marcin & Rosik, Piotr, 2013. "Accessibility improvement, territorial cohesion and spillovers: a multidimensional evaluation of two motorway sections in Poland," Journal of Transport Geography, Elsevier, vol. 31(C), pages 154-163.
    4. Yuan Zhang & Xiang Ji & Liang Sun & Yaxi Gong, 2022. "Spatial Evaluation of Villages and Towns Based on Multi-Source Data and Digital Technology: A Case Study of Suining County of Northern Jiangsu," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    5. Banick, Robert & Heyns, Andries M. & Regmi, Suraj, 2021. "Evaluation of rural roads construction alternatives according to seasonal service accessibility improvement using a novel multi-modal cost-time model: A study in Nepal's remote and mountainous Karnali," Journal of Transport Geography, Elsevier, vol. 93(C).
    6. Rosita De Vincentis & Federico Karagulian & Carlo Liberto & Marialisa Nigro & Vincenza Rosati & Gaetano Valenti, 2022. "A Data-Driven Approach to Analyze Mobility Patterns and the Built Environment: Evidence from Brescia, Catania, and Salerno (Italy)," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    7. repec:elg:eechap:14395_20 is not listed on IDEAS
    8. Kotavaara, Ossi & Antikainen, Harri & Rusanen, Jarmo, 2011. "Population change and accessibility by road and rail networks: GIS and statistical approach to Finland 1970–2007," Journal of Transport Geography, Elsevier, vol. 19(4), pages 926-935.

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    More about this item

    Keywords

    Potential accessibility; poverty mapping; regional development; road network; JEL Classification: O18; JEL Classification: R12; JEL Classification: R52; JEL Classification: R58;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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