Distribution of inbound business activities in Shanghai and source counties

We develop a transferable big-small data framework to identify intercity business travelers and to uncover the industrial mechanisms underpinning intercity exchanges. Using Shanghai as a case, behavioral signatures from a travel survey are used to train a purpose-inference model, which is then transferred to large-scale mobile phone data to classify inbound business flows.