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Behaviour-based dependency networks between places shape urban economic resilience

Author

Listed:
  • Takahiro Yabe

    (Massachusetts Institute of Technology
    New York University
    New York University)

  • Bernardo García Bulle Bueno

    (Massachusetts Institute of Technology)

  • Morgan R. Frank

    (University of Pittsburgh
    Stanford University
    Massachusetts Institute of Technology)

  • Alex Pentland

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Esteban Moro

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Northeastern University)

Abstract

Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing businesses, stores and amenities. We find that dependency networks computed from human mobility exhibit significantly higher rates of long-distance connections and biases towards specific pairs of point-of-interest categories. We show that using behaviour-based dependency relationships improves the predictability of business resilience during shocks by around 40% compared with distance-based models, and that neglecting behaviour-based dependencies can lead to underestimation of the spatial cascades of disruptions. Our findings underscore the importance of measuring complex relationships in patterns of human mobility to foster urban economic resilience to shocks.

Suggested Citation

  • Takahiro Yabe & Bernardo García Bulle Bueno & Morgan R. Frank & Alex Pentland & Esteban Moro, 2025. "Behaviour-based dependency networks between places shape urban economic resilience," Nature Human Behaviour, Nature, vol. 9(3), pages 496-506, March.
    • Handle: RePEc:nat:nathum:v:9:y:2025:i:3:d:10.1038_s41562-024-02072-7
    DOI: 10.1038/s41562-024-02072-7
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