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Behaviour-based dependency networks between places shape urban economic resilience.
Takahiro Yabe1,2,3, Bernardo García Bulle Bueno4, Morgan R Frank5,6,7
1Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA. takahiroyabe@nyu.edu.
Nature Human Behaviour
|December 23, 2024
Summary
Understanding business interdependencies is key to urban economic resilience. This study reveals that human mobility patterns uncover crucial, often long-distance, business connections, improving shock impact predictions by 40%.
Area of Science:
- Urban Studies
- Network Science
- Economic Geography
Background:
- Pandemic-related business disruptions highlight the need to understand interdependencies.
- The extent of business reliance on each other during disruptions remains unclear.
- Existing models often overlook the complex relationships driving economic shocks.
Purpose of the Study:
- To quantify inter-business dependencies using human mobility data.
- To assess the impact of these dependencies on urban economic resilience.
- To improve predictions of how disruptions cascade through urban economies.
Main Methods:
- Leveraged human mobility data and same-day visit data from five US cities.
- Quantified dependencies between points of interest (businesses, stores, amenities).
- Compared behavior-based dependency models with traditional distance-based models.
Main Results:
- Human mobility data reveals dependency networks with long-distance connections and category biases.
- Behavior-based dependency models improved shock resilience predictability by approximately 40% compared to distance-based models.
- Neglecting behavior-based dependencies leads to underestimation of disruption's spatial spread.
Conclusions:
- Human mobility patterns are critical for understanding complex business interdependencies.
- Behavior-based dependency analysis enhances urban economic resilience strategies.
- Accurate measurement of mobility-driven relationships is vital for mitigating economic shocks.
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