The group around FAN Xiaopeng at Shenzhen’s CAS Advanced Technology Research Institute has analyzed the track and transactions of over 15000 taxis in Shenzhen’s Nanshan district for a better understanding of traffic related to urban business. 50-60 % of business came from consumers within 5 kilometers, which proposes a classification model for Shenzhen business activities: long-term stable, sporadic burst, day and night cycles. The investigation based on big data was confirmed by the Shenzhen Retail Business Association from data for three consecutive years. Thus, big data can be used to understand future needs in road networks and real estate use.
CAS news release, September 10, 2018
Shenzhen team analyzes urban business and traffic using big data