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Spatial-dynamic population systems: analysis and projection.

J Shen

    Environment & Planning A
    |March 1, 1994
    PubMed
    Summary
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    This study introduces a refined multiregional population model to better estimate population exposure to demographic changes. It enhances accuracy in population dynamics modeling and forecasting.

    Area of Science:

    • Demography
    • Population Studies
    • Mathematical Modeling

    Background:

    • Traditional population models may not accurately capture population exposure time to demographic changes.
    • Existing methods for calculating demographic rates can be complex and less precise.

    Purpose of the Study:

    • To propose a more detailed multiregional population accounting system.
    • To introduce the concepts of population-time at risk and forward demographic rates.
    • To develop a more precise and straightforward multiregional population model.

    Main Methods:

    • Developing detailed multiregional population accounts.
    • Defining and discussing population-time at risk and forward demographic rates.
    • Comparing forward demographic rates with occurrence-exposure demographic rates.
    Keywords:
    AsiaBiologyChinaDemographic FactorsDeveloping CountriesEastern AsiaGeographic FactorsModels, TheoreticalMultiregional AnalysisPopulationPopulation At RiskPopulation DynamicsResearch MethodologyRisk FactorsTime Factors

    Related Experiment Videos

  • Formulating a new multiregional population model in matrix form.

    • Main Results:

    • A more realistic estimation of population exposure time to demographic change components.
    • A clearer understanding of the relationship between forward and occurrence-exposure demographic rates.
    • A precise and straightforward multiregional population model based on forward rates.
    • Successful application of the model to population data for China.

    Conclusions:

    • The proposed model offers a more accurate approach to multiregional population analysis.
    • Forward demographic rates provide a valuable tool for population dynamics research.
    • The model's matrix form aligns with established multiregional, cohort-survival methodologies.