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The problem of aggregation and distance for analyses of accessibility and access opportunity in location - allocation models


  • L Bach


The acceptability of information stemming from analyses of accessibility and access opportunity for social, educational, and cultural infrastructure facilities largely depends on two factors: exactness and efficiency. Both of these factors are influenced by the data bases available for the analyses. This paper will focus on the problem of data requirements for spatial distributions of demand as well as on data requirements for spatial distances with respect to the exactness of the results of analyses and on the efficiency of preparing analyses. The effects of different levels of aggregation and of different types of distance measures are investigated.

Suggested Citation

  • L Bach, 1981. "The problem of aggregation and distance for analyses of accessibility and access opportunity in location - allocation models," Environment and Planning A, Pion Ltd, London, vol. 13(8), pages 955-978, August.
  • Handle: RePEc:pio:envira:v:13:y:1981:i:8:p:955-978

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    References listed on IDEAS

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    2. John Lynch & George Smith & Marianne Hillemeier & Trivellore Raghunathan & George Kaplan & Mary Shaw, 2001. "Income Inequality, the Psycho-social Environment and Health Comparisons of Wealthy Nations," LIS Working papers 269, LIS Cross-National Data Center in Luxembourg.
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    8. Magnani, Elisabetta, 2000. "The Environmental Kuznets Curve, environmental protection policy and income distribution," Ecological Economics, Elsevier, vol. 32(3), pages 431-443, March.
    9. Bobak, Martin & Pikhart, Hynek & Rose, Richard & Hertzman, Clyde & Marmot, Michael, 2000. "Socioeconomic factors, material inequalities, and perceived control in self-rated health: cross-sectional data from seven post-communist countries," Social Science & Medicine, Elsevier, vol. 51(9), pages 1343-1350, November.
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    Cited by:

    1. Tira, Maurizio & Tiboni, Michela & Badiani, Barbara, 2002. "High speed/high capacity railway and regional development - evaluation of effects on spatial accessibility," ERSA conference papers ersa02p362, European Regional Science Association.
    2. Carling, Kenneth & Han, Mengjie & Håkansson, Johan & Rebreyend, Pascal, 2012. "Distance measure and the p-median problem in rural areas," HUI Working Papers 78, HUI Research.
    3. Irawan, Chandra Ade & Salhi, Said & Scaparra, Maria Paola, 2014. "An adaptive multiphase approach for large unconditional and conditional p-median problems," European Journal of Operational Research, Elsevier, vol. 237(2), pages 590-605.
    4. repec:gam:jsusta:v:9:y:2017:i:11:p:1924-:d:116359 is not listed on IDEAS
    5. Tamás Dusek, 2005. "The modifiable areal unit problem in regional economics," ERSA conference papers ersa05p357, European Regional Science Association.

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