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Some Tests of Alternative Accessibility Measures: A Population Density Approach

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  • Shunfeng Song

Abstract

This paper presents nine alternative accessibility measures and evaluates their usefulness in explaining population distribution. It first evaluates these measures by using the criterion of maximum explanatory power in standard regression analysis. It then performs non-nested tests on these nine measures. The paper concludes that gravity-type accessibility measures generally perform better than other measures. The most commonly used measure, size of opportunity weighted by the reciprocal of distance, is not statistically surpassed by any other measures. Cumulative opportunity within the average commuting distance and the distance to the central business district are the poorest accessibility measures.

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Bibliographic Info

Article provided by University of Wisconsin Press in its journal Land Economics.

Volume (Year): 72 (1996)
Issue (Month): 4 ()
Pages: 474-482

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Handle: RePEc:uwp:landec:v:72:y:1996:i:4:p:474-482

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Web page: http://le.uwpress.org/

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Cited by:
  1. Flores-Fillol, Ricardo & Nicolini, Rosella, 2011. "Aerotropolis: an aviation-linked space," Working Papers 2072/179625, Universitat Rovira i Virgili, Department of Economics.
  2. Yena Song & Keumsook Lee & William Anderson & T. Lakshmanan, 2012. "Industrial agglomeration and transport accessibility in metropolitan Seoul," Journal of Geographical Systems, Springer, vol. 14(3), pages 299-318, July.
  3. Matisziw, T.C. & Grubesic, T.H., 2010. "Evaluating locational accessibility to the US air transportation system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 710-722, November.
  4. Kent Eliasson & Urban Lindgren & Olle Westerlund, 2003. "Geographical Labour Mobility: Migration or Commuting?," Regional Studies, Taylor & Francis Journals, vol. 37(8), pages 827-837.
  5. Polyakov, Maksym & Zhang, Daowei, 2008. "Population Growth and Land Use Dynamics along Urban–Rural Gradient," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(02), August.
  6. Mark Burkey, 2012. "Decomposing geographic accessibility into component parts: methods and an application to hospitals," The Annals of Regional Science, Springer, vol. 48(3), pages 783-800, June.
  7. Chandra, Shailesh & Bari, Muhammad Ehsanul & Devarasetty, Prem Chand & Vadali, Sharada, 2013. "Accessibility evaluations of feeder transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 47-63.
  8. Eliasson, Kent, 2006. "The Effects of Accessibility to University Education on Enrollment Decisions, Geographical Mobility, and Social Recruitment," UmeÃ¥ Economic Studies 690, Umeå University, Department of Economics.
  9. Ottensmann, John R. & Payton, Seth & Man, Joyce, 2008. "Urban Location and Housing Prices within a Hedonic Model," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1).
  10. Andersson, Martin & Karlsson, Charlie, 2004. "The Role of Accessibility for the Performance of Regional Innovation Systems," Working Paper Series in Economics and Institutions of Innovation 9, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  11. Thomas Vanoutrive, 2012. "Explaining Port Size: Accessibility, Hinterland Competition and a Semi-Endogenously Determined W," ERSA conference papers ersa12p668, European Regional Science Association.
  12. Bulent Uyar & Kenneth H. Brown, 2005. "Impact of Local Public Services and Taxes on Dwelling Choice within a Single Taxing Jurisdiction: A Discrete Choice Model," Journal of Real Estate Research, American Real Estate Society, vol. 27(4), pages 427-444.
  13. Ilenia Epifani & Rosella Nicolini, 2009. "On the density distribution across space: a probabilistic approach," UFAE and IAE Working Papers 776.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

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