Study On Influencing Factors And Mechanism Of Use Frequency Of Shared Travel In The Context Of Epidemic

Shared travel is characterized by rapid development and large financing scale,and it is representative in the sharing economy.In recent years,driven by the national innovation strategy,the development of mobile Internet technologies has led to the rapid emergence of many new modes like ride-sharing,ride-hailing,bike-sharing,customized public transportation.These new travel service modes aim at the rigid needs of users for”personalized” travel.Relying on ”mobile Internet” and ”low-carbon travel”,they are increasingly becoming the mainstream choice for urban residents to travel.They bring new life to urban traffic,but also cause new problems.Among them,whether emergencies such as epidemic and customer trust will have an impact on the use frequency of shared travel services has not been fully discussed in domestic and foreign studies.In this paper,quantitative research method is adopted to estimate the ordered probit and ordered logit models on the basis of EFA to study the affect factors.This study conducted two online questionnaires on the same subjects before and after the epidemic,and 670 valid questionnaires were collected.Regression of the collected data and consistent results of different models showed that six factors would affect the frequency of travelers’ use of ride-hailing services.Among them,customer trust and loyalty have a significant impact,while the epidemic has a significant impact on the frequency of people’s future use of ride-hailing services in the short term,but not in the long term.Based on this conclusion,to study how the customer trust and loyalty influence the relationship and behavioral decision,this paper constructs the tripartite evolutionary game model,to explore how under the background of the outbreak,through to the appropriate control of the groups’ earnings,their decision converges to the stable point(1,1,1).That is,the platform adopts the strategy of ”supervision”,passengers choose the strategy of ”report”,and drivers choose ”take epidemic prevention measures”.This study is expected to provide new empirical evidence for studying customer behavior in the context of new technological infrastructure,and at the same time,provide new ideas for predicting the adoption and promotion of shared travel services.