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Infrequent activities predict economic outcomes in major American cities - Nature Cities

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Infrequent activities predict economic outcomes in major American cities - Nature Cities

Many studies have revealed the predictive power of the most frequent, regular and habitual mobility patterns. However, it remains unclear which components of the mobility patterns contain the most informative signals for predicting disparate economic development across urban areas. Here we use machine learning to predict economic outcomes by analyzing the heterogeneous mobility networks of 687 activities from more than 560,000 anonymized users in Boston, Chicago and Miami. We

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Infrequent activities predict economic outcomes in major American cities - Nature Cities

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Infrequent activities predict economic outcomes in major American cities - Nature Cities

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