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Use of Location-Allocation Models for Improving the Geographical Accessibility of Rural Services in Developing Countries

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  • Gerard Rushton

    (Department of Geography, the University of Iowa, Iowa City, Iowa 52242 USA)

Abstract

Improved geographical accessibility to basic services for rural populations is a goal of most governments in developing countries. Yet, only rarely have formal methods for determining optimal locations (location-allocation models) been used as an aid to decisionmaking. The use of location-allocation models in health services development and in regional settlement planning are reviewed and compared to school location planning where these models have not been used. Further research is needed to determine the appropriate objective functions, the roles for modeling in the context of decentralized decisionmaking and the efficiency of past processes of location decisionmaking.

Suggested Citation

  • Gerard Rushton, 1984. "Use of Location-Allocation Models for Improving the Geographical Accessibility of Rural Services in Developing Countries," International Regional Science Review, , vol. 9(3), pages 217-240, December.
  • Handle: RePEc:sae:inrsre:v:9:y:1984:i:3:p:217-240
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    Cited by:

    1. Ratick, Samuel J. & Osleeb, Jeffrey P. & Hozumi, Dai, 2009. "Application and extension of the Moore and ReVelle Hierarchical Maximal Covering Model," Socio-Economic Planning Sciences, Elsevier, vol. 43(2), pages 92-101, June.
    2. Cocking, Cara & Flessa, Steffen & Reinelt, Gerhard, 2012. "Improving access to health facilities in Nouna district, Burkina Faso," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 164-172.
    3. Pedro V. Amaral & Alan T. Murray, 2016. "Equity in regional access to renal dialysis in Brazil," Regional Science Policy & Practice, Wiley Blackwell, vol. 8(1-2), pages 27-44, March.
    4. repec:eee:soceps:v:59:y:2017:i:c:p:1-12 is not listed on IDEAS
    5. Mohammadi, M. & Dehbari, S. & Vahdani, Behnam, 2014. "Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 15-41.

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