Car-hailing order data are a rich source to study the human mobility patterns, which could contribute to transporation planning and policy-making. In general, a orginal car-hailing order record includes information such as origin, destination, pick-up time, drop-off time, and travel distance. Beijing car-hailing order dataset stored the discretized order data at a traffic analysis zone(TAZ) scale, including the dataset for training and test.
The rawdata.csv profile indicates the traffic analysis based mobility patterns. we extract human trips from Call Records Detail data. Combining traffic analysis zone dataset, we map each trip record to the zones with the same origin zones and destination zones. After this, we can obtain this dataset. This dataset stores the hourly number of departure and arrival trips in each traffic analysis zone.
The POI-importance.csv profile indicates the term frequency-inverse doument frequency(TF-IDF) of each category of poi the in each traffic analysis zone.
we extract human trips from Call Records Detail data. Combining traffic analysis zone dataset, we map each trip record to the zones with the same origin zones and destination zones. After this, we can obtain this dataset. This dataset stores the hourly number of departure and arrival trips in each traffic analysis zone.