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Synthesis—A Synthetic Spatial Information System for Urban and Regional Analysis: Methods and Examples

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  • M Birkin
  • M Clarke

Abstract

There is a growing interest from a wide variety of sources in information pertaining to the characteristics of residents of small geographical areas together with their associated activity patterns. Reliance on the use of conventional aggregate data sources combined with the British Government's reluctance to make available microdata in the form of a public-use data set has restricted the type of questions analysts have been able to ask. The application of a methodology for generating synthetic microdata from a number of different aggregate sources is reported. The resultant information system can be used in a flexible manner to produce distributions not currently available from aggregate sources. Additionally, the microdata form direct inputs into microsimulation models. The application described has been undertaken with Leeds Metropolitan District as the system of interest and a wide range of outputs is produced to illustrate the method.

Suggested Citation

  • M Birkin & M Clarke, 1988. "Synthesis—A Synthetic Spatial Information System for Urban and Regional Analysis: Methods and Examples," Environment and Planning A, , vol. 20(12), pages 1645-1671, December.
    • Handle: RePEc:sae:envira:v:20:y:1988:i:12:p:1645-1671
    DOI: 10.1068/a201645
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    Cited by:

    1. Lovelace, Robin & Ballas, Dimitris & Watson, Matt, 2014. "A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels," Journal of Transport Geography, Elsevier, vol. 34(C), pages 282-296.
    2. Huang, Charlotte & Elsland, Rainer, 2019. "A survey-based approach to estimate residential electricity consumption at municipal level in Germany," Working Papers "Sustainability and Innovation" S10/2019, Fraunhofer Institute for Systems and Innovation Research (ISI).

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