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Spatial chain patterns of intra-urban migration.

Y Murayama, T Inoue, Y Hashimoto

    Geographia Polonica
    |January 1, 1997
    PubMed
    Summary
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    This study tracks individual resident movements in Yokkaichi, Japan, revealing spatial patterns in intra-urban migration. It analyzes relocation timing and stationary periods over 15 years to understand migration regularity.

    Area of Science:

    • Urban studies
    • Human geography
    • Spatial analysis

    Background:

    • Intra-urban migration is a complex phenomenon often studied at aggregate levels.
    • Understanding individual migration patterns provides granular insights into urban dynamics.
    • Previous research has not fully captured the non-aggregate, chain-type migration of residents over extended periods.

    Purpose of the Study:

    • To quantitatively analyze individual chain-type migration patterns within Yokkaichi, Japan.
    • To determine the spatial regularity of intra-urban migration based on individual movement histories.
    • To investigate the influence of age and stationary periods on residential relocation.

    Main Methods:

    • Quantitative analysis of individual residential movement data over 15 years.
    Keywords:
    Age FactorsAsiaDemographic FactorsDeveloped CountriesEastern AsiaFamily And HouseholdFamily ResearchGeographic FactorsJapanLife CycleMigrationMigration, InternalPopulationPopulation CharacteristicsPopulation DynamicsSpatial DistributionTime FactorsUrban Spatial Distribution

    Related Experiment Videos

  • Tracking chain-type migration pathways for all residents in the study area.
  • Statistical examination of age at relocation and intervals between movements (stationary periods).

    • Main Results:

    • Identified distinct spatial regularities in individual intra-urban migration chains.
    • Revealed specific age groups and stationary period durations associated with higher relocation frequency.
    • Demonstrated the utility of non-aggregate analysis for understanding migration dynamics.

    Conclusions:

    • Individual migration behavior exhibits predictable spatial patterns within urban environments.
    • Age and the duration of residence significantly influence the timing and frequency of residential moves.
    • Non-aggregate, longitudinal data analysis is crucial for a comprehensive understanding of intra-urban migration.