基于logistic回归模型的打车软件市场规模影响因素研究

摘要

The rapid development of the taxi-hailing apps is impacting on the future of traditional taxi market, and even will subvert the original consumption pattern, so the competition is intense. From the perspective of users, questionnaires of influence factors on the size of the taxi-hailing apps market are designed and given out through the network, and the investigation data are analyzed. Based on the analysis results, the clustering analysis method is used, and the orderly multinomial logistic regression model is established to analyze the factors impacting the size of the market taking taxi-hailing apps. Research shows that of all the factors subsidies plays the leading role on taxi-hailing apps use frequency. Finally, the practical significance of the results is analyzed, and then the strategies on the taxi-hailing apps competition are suggested.%打车软件的快速发展，将会对传统出租车市场的未来产生重大的影响，甚至会颠覆其原有消费模式，因此竞争激烈。该文从用户角度出发，设计并通过网络发放调查问卷，对打车软件市场规模影响因素进行了调查和数据分析，并以其结果为样本，结合聚类分析方法，通过建立多项有序logistic回归模型，对打车软件市场规模的影响因素进行实证分析。研究表明，各因素中补贴对打车软件使用频率的影响最大。最后对结果进行了现实意义的分析，并就此提出打车软件竞争策略建议。