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Models of Movement: A Review of Alternative Methods

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  • A Pickles

    (Department of Town Planning, University of Wales Institute of Science and Technology, Cardiff, Wales)

Abstract

This paper reviews methods available to analyse movement and in particular migration. Stochastic process models seem able to provide a framework for microanalysis which can incorporate much of the complexity of such processes. However, a consideration of the effect of macro-constraints, in the form of limited opportunities for movement and of interhousehold competition, leads to a distinction between fixed transition rate and fixed state occupancy models. Alternative approaches to fixed state occupancy models are considered, and some of their potential strengths and weaknesses are discussed.

Suggested Citation

  • A Pickles, 1980. "Models of Movement: A Review of Alternative Methods," Environment and Planning A, , vol. 12(12), pages 1383-1404, December.
  • Handle: RePEc:sae:envira:v:12:y:1980:i:12:p:1383-1404
    DOI: 10.1068/a121383
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    References listed on IDEAS

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    1. Peter Morrison, 1967. "Duration of Residence and Prospective Migration: The Evaluation of a Stochastic Model," Demography, Springer;Population Association of America (PAA), vol. 4(2), pages 553-561, June.
    2. M. Cordey‐Hayes & D. Gleave, 1974. "Migration Movements And The Differential Growth Of City Regions In England And Wales," Papers in Regional Science, Wiley Blackwell, vol. 33(1), pages 99-123, January.
    3. J. A. Nelder, 1974. "Log Linear Models for Contingency Tables: A Generalization of Classical Least Squares," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 23(3), pages 323-329, November.
    4. Peter Morrison, 1971. "Chronic movers and the future redistribution of population: A longitudinal analysis," Demography, Springer;Population Association of America (PAA), vol. 8(2), pages 171-184, May.
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    1. Nijkamp, P. & Reggiani, A., 1987. "Spatial interaction and input-output models : a dynamic stochastic multi-objective framework," Serie Research Memoranda 0059, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

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