Analysis of the differential parking charge policy in Nanjing based on the big data of Microblog

The social media is becoming more and more popular nowadays. In addition to a relatively centralized occupation of the media, it also has the features of a big population base, frequent status updates and rapid information transmissions. The research on the data of social media has been a field of great concern. Meanwhile, the differential parking charge policy is well-known as one of the measures to ease the traffic congestion that was implemented on June 15, 2014 in Nanjing, but the effect of the policy implementation is unknown. For the two points, the main purpose of this thesis is to study the impact on the differential parking charge policy in the prospect of big data collected from the Microblog. This thesis discusses the effect of policy implementation from the perspective of public attitude before and after the policy. It chooses some hot words about the policy for data mining from the Microblog and then makes some effective statistical analyses to get the result. At last, the thesis gives some specific suggestions in order to get better practical results and alleviate urban traffic congestion.