Research On Traffic Management Policy In Share Economy Environment

With the increasing maturity and popularity of mobile Internet,mobile payment,smart wearable devices,artificial intelligence,big data and cloud computing,the new economic model of sharing economy is gradually infiltrating into all aspects of social life.In the transportation field,the enterprises sharing the economic platform represent the launching and popularization of application software such as “Drip Trip” and “Mobike Bicycle”,and completely change the travel habits of the new traffic modes such as net car and shared bicycle.It has had a huge impact on urban traffic.While the shared mode of transportation has brought great convenience to our lives,issues such as the sharing of bicycles and the safety of rides and rides have gradually become prominent.Even today,people still believe that “the network car has intensified the urban traffic.The issue of congestion is arguing endlessly.This also puts new demands on the government's management of this new mode of transportation and even economic models.On the one hand,taking Beijing as an example,by collating the basic traffic data of Beijing for several years,the timeline of Beijing's traffic development and the timeline of the far-reaching events in the shared traffic field are combined and cross-contrast,trying to analyze the shared traffic.The real impact of the development of the field on urban transport.On the other hand,through research and analysis,we will analyze and develop advanced cases of favorable policies for promoting the development of shared economy at home and abroad,as well as successful cases of cooperation between government and enterprises in the field of shared transportation.Based on the theory of multi-center governance and the theory of social governance,this paper proposes relevant suggestions for the key development direction of government policy formulation,the establishment of a mechanism for cooperation between government and enterprises,and the exploration of government management methods for sharing models at a deeper and further level.In order to arrive at a more efficient and scientific management policy.